This article compares how people with normal bodies and bodies that deviate from dominant media-depicted body ideals, live with and accept their bodies. Media images of ideal bodies encompass judging gazes. These gaze...This article compares how people with normal bodies and bodies that deviate from dominant media-depicted body ideals, live with and accept their bodies. Media images of ideal bodies encompass judging gazes. These gazes affect and discipline people and may make it challenging for them to accept their bodies. The data material is part of the interdisciplinary Nordic project called “Beauty comes from within: looking good as a challenge in health promotion”. Based on 20 interviews with Norwegian men and women, of whom 10 have particular appearance-related problems, the article discusses the relationship between the media-depicted body ideals, descriptions by informants of what a good-looking body is, body satisfaction and body practices. The article shows resonance between how people describe good-looking bodies and satisfaction or not with own bodies. Women express more dissatisfaction with their bodies than men, but the article shows that many have strategies for trying to accept their bodies as they are. The comparative perspective highlight that the people having deviant bodies, more than those with normal bodies, balance the idea of “being myself” with the idea of “doing the best out of my (bodily) situation”. Most interestingly, they show that it is harder to accept handicaps that are changeable, like overweight, than harelips, deformed legs and skin injuries. As such, overweight becomes a double burden.展开更多
Much more than simple viewing, gaze, which is a kind of concentrated thorough long-term viewing, makes the gazer and the gazed establish a complicated power relationship. Frequently, women are in a position of being g...Much more than simple viewing, gaze, which is a kind of concentrated thorough long-term viewing, makes the gazer and the gazed establish a complicated power relationship. Frequently, women are in a position of being gazed at by others instead of taking the initiative to have a counter gaze. Consequently, they are confronted with abnormal self identity construction and alienation under the gazes of others and the self gaze brought by others’ gazes. This is fully revealed in the experiences of three representative female characters in Fitzgerald’s The Great Gatsby. This paper elaborates on their experiences and the relative consequences under gazes-deviation of femininity and other aspects, in the hope of providing a refreshing perspective for the study on this novel, gaze and gender issues.展开更多
As the gentle glow of the tropical sunset dripped in through the cabin door,Yogyakarta greeted us with a warming breeze,rustling foliage,and vibrant hum of Indonesian and Javanese.While wrestling with our luggage acro...As the gentle glow of the tropical sunset dripped in through the cabin door,Yogyakarta greeted us with a warming breeze,rustling foliage,and vibrant hum of Indonesian and Javanese.While wrestling with our luggage across the hallways,we scanned the scene excitedly,meeting the curious gazes of locals adorned in colorful batiks and hijabs.That was my first memory of Yogyakarta,one of the richest cities in culture and history in Indonesia.展开更多
Many applications,including security systems,medical diagnostics,and human-computer interfaces,depend on eye gaze recognition.However,due to factors including individual variations,occlusions,and shifting illumination...Many applications,including security systems,medical diagnostics,and human-computer interfaces,depend on eye gaze recognition.However,due to factors including individual variations,occlusions,and shifting illumination conditions,real-world scenarios continue to provide difficulties for accurate and consistent eye gaze recognition.This work is aimed at investigating the potential benefits of employing transfer learning to improve eye gaze detection ability and efficiency.Transfer learning is the process of fine-tuning pre-trained models on smaller,domain-specific datasets after they have been trained on larger datasets.We study several transfer learning algorithms and evaluate their effectiveness on eye gaze identification,including both Regression and Classification tasks,using a range of deep learning architectures,namely AlexNet,Visual Geometry Group(VGG),InceptionV3,and ResNet.In this study,we evaluate the effectiveness of transfer learning-basedmodels against models that were trained fromscratch using eye-gazing datasets on grounds of various performance and loss metrics such as Precision,Accuracy,and Mean Absolute Error.We investigate the effects of different pre-trainedmodels,dataset sizes,and domain gaps on the transfer learning process,and the findings of our study clarify the efficacy of transfer learning for eye gaze detection and offer suggestions for the most successful transfer learning strategies to apply in real-world situations.展开更多
Throughout the lifespan,an animal can encounter predators frequently,thus the ability to avoid attacks from predators is crucial for its survival.The chances of evading danger can be greatly improved if the animal can...Throughout the lifespan,an animal can encounter predators frequently,thus the ability to avoid attacks from predators is crucial for its survival.The chances of evading danger can be greatly improved if the animal can respond immediately to the threat.Therefore,when an animal detects a threat through its visual system,it must quickly direct its gaze and attention toward the source of danger,assess the threat level,and take appropriate action.展开更多
This paper probes into the transformation process and the deep meaning of the female characters in The Case of a Missing Seventeen and Gone Girl.The research shows that Wang Di and Amy realize the transformation from...This paper probes into the transformation process and the deep meaning of the female characters in The Case of a Missing Seventeen and Gone Girl.The research shows that Wang Di and Amy realize the transformation from“being gazed at”to“gazer”through the disappearance in the Chinese and Western cultural backgrounds respectively.Wang Di’s secret resistance reflects the traditional culture’s suppression of women’s self-awareness,while Amy controls the development of the story through carefully planned strategies,revealing the complex position of women in the marriage system.These two works show the struggle and breakthrough of women in the gender power structure,and emphasize the necessity of gender equality consciousness.Through a detailed study of role analysis and narrative strategies,this paper provides a new perspective for understanding the survival and growth of modern women in gender relations.展开更多
Recent advances in artificial intelligence and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier.Therefore,developing reliable and robust deepfake video detection m...Recent advances in artificial intelligence and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier.Therefore,developing reliable and robust deepfake video detection mechanisms is paramount.This research introduces a novel real-time deepfake video detection framework by analyzing gaze and blink patterns,addressing the spatial-temporal challenges unique to gaze and blink anomalies using the TimeSformer and hybrid Transformer-CNN models.The TimeSformer architecture leverages spatial-temporal attention mechanisms to capture fine-grained blinking intervals and gaze direction anomalies.Compared to state-of-the-art traditional convolutional models like MesoNet and EfficientNet,which primarily focus on global facial features,our approach emphasizes localized eye-region analysis,significantly enhancing detection accuracy.We evaluate our framework on four standard datasets:FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb.The proposed framework results reveal higher accuracy,with the TimeSformer model achieving accuracies of 97.5%,96.3%,95.8%,and 97.1%,and with the hybrid Transformer-CNN model demonstrating accuracies of 92.8%,91.5%,90.9%,and 93.2%,on FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb datasets,respectively,showing robustness in distinguishing manipulated from authentic videos.Our research provides a robust state-of-the-art framework for real-time deepfake video detection.This novel study significantly contributes to video forensics,presenting scalable and accurate real-world application solutions.展开更多
The interferences,such as the background,eyebrows,eyelashes,eyeglass frames,illumination variations,and specular lens reflection pose challenges for pupil localization in natural scenes.In this paper,we propose a nove...The interferences,such as the background,eyebrows,eyelashes,eyeglass frames,illumination variations,and specular lens reflection pose challenges for pupil localization in natural scenes.In this paper,we propose a novel method comprising improved YOLOv8 and Illumination Adaptive Algorithm(IAA),for fast and accurate pupil localization in natural scenes.We introduced deformable convolution into the backbone of YOLOv8 to enable the model to extract the eye regions more accurately,thus avoiding the interference of background outside the eye on subsequent pupil localization.The IAA can reduce the interference of illumination variations and lens reflection by adjusting automatically the grayscale of the image according to the exposure.Experimental results verified that the improved YOLOv8 exhibited an eye detection accuracy(IOU≥0.5)of 90.2%,while the IAA leads to a 9.15%improvement on 5-pixels error ratio e5 with processing times in the tens of microseconds on GPU.Experimental results on the benchmark database CelebA show that the proposed method for pupil localization achieves an accuracy of 83.05%on e5 and achieves real-time performance of 210 FPS on GPU,outperforming other advanced methods.展开更多
The gaze is a means of power that can flow through family relationships.It has intense regulatory overtones.In her short story Mr.Tang’s Girls,Malaysian-Chinese Anglophone diasporic writer Shirley Geok-lin Lim shows ...The gaze is a means of power that can flow through family relationships.It has intense regulatory overtones.In her short story Mr.Tang’s Girls,Malaysian-Chinese Anglophone diasporic writer Shirley Geok-lin Lim shows the conflict between Eastern and Western cultures and the resistance of women under the oppression of patriarchy through the portrayal of the father,Ah Kong,and the eldest daughter,Kim Li.Based on Foucault’s discipline gaze and Hooks’oppositional gaze,this article analyzes the power operation in the story from the following three aspects:the male gaze,discipline and self-discipline,and the oppositional gaze.Kim Li’s subjective image of breaking free from male ownership control has been presented.It suggests the difficulties encountered by female groups in their rebellion against the male gaze and their pursuit of freedom and emancipation.It also reflects the tragedy of awakening women’s destinies under the dual oppression of patriarchy and the East-Westen cultural conflict.展开更多
This essay offers a comprehensive comparative analysis of female warriors in the Marvel Cinematic Universe(MCU)and Wuxia films.Both genres portray powerful and empowered female characters who defy societal expectation...This essay offers a comprehensive comparative analysis of female warriors in the Marvel Cinematic Universe(MCU)and Wuxia films.Both genres portray powerful and empowered female characters who defy societal expectations and embody resilience,effectively challenging gender norms and promoting female empowerment.However,despite their strength,many of these women warriors face certain narrative factors,such as the male gaze and a predetermined fate,which can restrict their agency and curtail their full potential.And it is within the realm of Wuxia films that the captivating element of cross-dressing among female warriors emerges,providing a nuanced exploration of identity and the constraints imposed by society.展开更多
This paper contributes to explain the global warming instead of"giving up"and thinking about passively adapting to climate change or global warming.It makes more sense to tackle what creates the greenhouse e...This paper contributes to explain the global warming instead of"giving up"and thinking about passively adapting to climate change or global warming.It makes more sense to tackle what creates the greenhouse effect and contributes to global warming.The greenhouse effect is not only due to GHGs emissions,but also to the excess IR radiation emitted during the day,by artificial surfaces,following the absorption of solar radiation.The phenomenon should be compared to that of radiative forcing well known by climatologists and which makes the link between atmospheric pollution and the density of heat fluxes stopped by the atmosphere inducing global warming.It becomes clear that type an equation here.The surplus CO2 and IR radiation emissions influence global warming,not to mention the direct part of the heat released by the combustion of fossil fuels and even renewable(wood fires,biogas,friction of wind turbine propellers with the air).展开更多
The biathlon,an Olympic sporting discipline that combines cross-country skiing with rifle marksmanship,entails considerable physiological demands,as well as fine motor control while shooting after intense exercise and...The biathlon,an Olympic sporting discipline that combines cross-country skiing with rifle marksmanship,entails considerable physiological demands,as well as fine motor control while shooting after intense exercise and under mental pressure.Although much of our knowledge about cross-country skiing is probably also applicable to the biathlon,carrying the rifle and shooting under stress make this discipline somewhat unique.The present review summarizes and examines the scientific literature related to biathlon performance,with a focus on physiological and biomechanical factors and shooting technique,as well as psychophysiological aspects of shooting performance.We conclude with suggestions for future research designed to extend our knowledge about the biathlon,which is presently quite limited.2018 Published by Elsevier B.V.on behalf of Shanghai University of Sport.This is an open access article under the CC BY-NC-ND license.(http://creativecommons.org/licenses/by-nc-nd/4.0/).展开更多
Eye center localization is one of the most crucial and basic requirements for some human-computer interaction applications such as eye gaze estimation and eye tracking. There is a large body of works on this topic in ...Eye center localization is one of the most crucial and basic requirements for some human-computer interaction applications such as eye gaze estimation and eye tracking. There is a large body of works on this topic in recent years, but the accuracy still needs to be improved due to challenges in appearance such as the high variability of shapes, lighting conditions, viewing angles and possible occlusions. To address these problems and limitations, we propose a novel approach in this paper for the eye center localization with a fully convolutional network(FCN),which is an end-to-end and pixels-to-pixels network and can locate the eye center accurately. The key idea is to apply the FCN from the object semantic segmentation task to the eye center localization task since the problem of eye center localization can be regarded as a special semantic segmentation problem. We adapt contemporary FCN into a shallow structure with a large kernel convolutional block and transfer their performance from semantic segmentation to the eye center localization task by fine-tuning.Extensive experiments show that the proposed method outperforms the state-of-the-art methods in both accuracy and reliability of eye center localization. The proposed method has achieved a large performance improvement on the most challenging database and it thus provides a promising solution to some challenging applications.展开更多
An active stereo vision system based on a model of neural pathways of human binocular motor system is proposed. With this model, it is guaranteed that the two cameras of the active stereo vision system can keep their ...An active stereo vision system based on a model of neural pathways of human binocular motor system is proposed. With this model, it is guaranteed that the two cameras of the active stereo vision system can keep their lines of sight fixed on the same target object during smooth pursuit. This feature is very important for active stereo vision systems, since not only 3D reconstruction needs the two cameras have an overlapping field of vision, but also it can facilitate the 3D reconstruction algorithm. To evaluate the effectiveness of the proposed method, some software simulations are done to demonstrate the same target tracking characteristic in a virtual environment apt to mistracking easily. Here, mistracking means two eyes track two different objects separately. Then the proposed method is implemented in our active stereo vision system to perform real tracking task in a laboratory scene where several persons walk self-determining. Before the proposed model is implemented in the system, mistracking occurred frequently. After it is enabled, mistracking never occurred. The result shows that the vision system based on neural pathways of human binocular motor system can reliably avoid mistracking.展开更多
Mental rotation(MR)is an important aspect of cognitive processing in gaming since transformation andmanipulation of visuospatial information are necessary in order to execute a gaming task.This study provides insights...Mental rotation(MR)is an important aspect of cognitive processing in gaming since transformation andmanipulation of visuospatial information are necessary in order to execute a gaming task.This study provides insights on saccadic characteristics in gaming task performance that involves 2D and 3D isomorphic objects with varying angular disparity.Healthy participants(N=60)performedMR gaming task.Each participantwas tested individually in an acoustic treated lab environment.Gaze behavior data of all participants were recorded during task execution and analyzed to find the changes in spatiotemporal characteristics of saccades associated with the variation in angular disparity and dimensionality.There were four groups with unique combination of angular disparity and dimensionality,each with fifteen participants randomly assigned.Results indicate that the spatial characteristics of the object affect the temporal aspect of saccade(duration),whereas the spatial aspect of the saccade(amplitude)is influenced by the objects’dimension.A longer saccade duration indicates a prolonged suppression of spatial information processing during the MR tasks with objects at convex range angular disparities.Therefore,the MR tasks with convex angular disparity become more complex to process compared to the tasks with reflex angular disparity.MR process is faster and more accurate with 3D objects compared to the 2D objects.There is an interaction between angular disparity and dimensionality in terms of mental demand,such that theMR processing with 2Dobjects in reflex angular disparitywasmoremental demanding than that of convex angular disparity;however,this trend was absent in case of 3Dobjects.Hence,during the MR task,the longer saccade duration implies that the taskswith convex angular disparities become comparativelymore challenging.Also,the lower saccadic amplitude for 2D objects indicates difficulties in processing due to deficient visual features.The findings could help in framing the computer-based game(or videogame)concerningMRabilities for training or rehabilitation purposes.展开更多
The pandemic situation in 2020 brought about a‘digitized new normal’and created various issues within the current education systems.One of the issues is the monitoring of students during online examination situation...The pandemic situation in 2020 brought about a‘digitized new normal’and created various issues within the current education systems.One of the issues is the monitoring of students during online examination situations.A system to determine the student’s eye gazes during an examination can help to eradicate malpractices.In this work,we track the users’eye gazes by incorporating twelve facial landmarks around both eyes in conjunction with computer vision and the HAAR classifier.We aim to implement eye gaze detection by considering facial landmarks with two different Convolutional Neural Network(CNN)models,namely the AlexNet model and the VGG16 model.The proposed system outperforms the traditional eye gaze detection system which only uses computer vision and the HAAR classifier in several evaluation metric scores.The proposed system is accurate without the need for complex hardware.Therefore,it can be implemented in educational institutes for the fair conduct of examinations,as well as in other instances where eye gaze detection is required.展开更多
A person’s eye gaze can effectively express that person’s intentions.Thus,gaze estimation is an important approach in intelligent manufacturing to analyze a person’s intentions.Many gaze estimation methods regress ...A person’s eye gaze can effectively express that person’s intentions.Thus,gaze estimation is an important approach in intelligent manufacturing to analyze a person’s intentions.Many gaze estimation methods regress the direction of the gaze by analyzing images of the eyes,also known as eye patches.However,it is very difficult to construct a person-independent model that can estimate an accurate gaze direction for every person due to individual differences.In this paper,we hypothesize that the difference in the appearance of each of a person’s eyes is related to the difference in the corresponding gaze directions.Based on this hypothesis,a differential eyes’appearances network(DEANet)is trained on public datasets to predict the gaze differences of pairwise eye patches belonging to the same individual.Our proposed DEANet is based on a Siamese neural network(SNNet)framework which has two identical branches.A multi-stream architecture is fed into each branch of the SNNet.Both branches of the DEANet that share the same weights extract the features of the patches;then the features are concatenated to obtain the difference of the gaze directions.Once the differential gaze model is trained,a new person’s gaze direction can be estimated when a few calibrated eye patches for that person are provided.Because personspecific calibrated eye patches are involved in the testing stage,the estimation accuracy is improved.Furthermore,the problem of requiring a large amount of data when training a person-specific model is effectively avoided.A reference grid strategy is also proposed in order to select a few references as some of the DEANet’s inputs directly based on the estimation values,further thereby improving the estimation accuracy.Experiments on public datasets show that our proposed approach outperforms the state-of-theart methods.展开更多
EOG is a biosignal which occurs during eye activities such as eye movement and blink. EOG has a linear relationship with gaze distance. Detection object position in 3-dimensional area using gaze motion was proposed in...EOG is a biosignal which occurs during eye activities such as eye movement and blink. EOG has a linear relationship with gaze distance. Detection object position in 3-dimensional area using gaze motion was proposed in this research. To calculate the distance of gaze motion in pixel unit, affine transform method was developed. The homogeneous matrix from five geometry processes: transformation-1, rotation, transformation-2, shear, and dilatation was determined. To give tracking ability in 3-dimensional area, two cameras were attached each in front of and top side of object. The cameras were accessed by voluntary blink. The EOG characteristic of blink eye was determined based on the absolute ratio between positive peak and negative peak which was greater than 1. Every blink toggled the active camera. The position of object was given by the perceived locations from the two cameras. Every movement in pixel coordinate was converted into centimeter unit. Then, the perceived location was used to calculate to the base coordinate. The result shows that the blink method successfully accessed the camera. Both of the cameras could show the location of object from their side. Calculating the gaze distance using affine transform also gave a satisfied result. Using this method controlling a machine in 3-dimensional area by EOG could be developed.展开更多
Background Eye-tracking technology for mobile devices has made significant progress.However,owing to limited computing capacity and the complexity of context,the conventional image feature-based technology cannot extr...Background Eye-tracking technology for mobile devices has made significant progress.However,owing to limited computing capacity and the complexity of context,the conventional image feature-based technology cannot extract features accurately,thus affecting the performance.Methods This study proposes a novel approach by combining appearance-and feature-based eye-tracking methods.Face and eye region detections were conducted to obtain features that were used as inputs to the appearance model to detect the feature points.The feature points were used to generate feature vectors,such as corner center-pupil center,by which the gaze fixation coordinates were calculated.Results To obtain feature vectors with the best performance,we compared different vectors under different image resolution and illumination conditions,and the results indicated that the average gaze fixation accuracy was achieved at a visual angle of 1.93°when the image resolution was 96×48 pixels,with light sources illuminating from the front of the eye.Conclusions Compared with the current methods,our method improved the accuracy of gaze fixation and it was more usable.展开更多
Studies estimating eye movements have demonstrated that non-human primates have fixation patterns similar to humans at the first sight of a picture.In the current study,three sets of pictures containing monkeys,humans...Studies estimating eye movements have demonstrated that non-human primates have fixation patterns similar to humans at the first sight of a picture.In the current study,three sets of pictures containing monkeys,humans or both were presented to rhesus monkeys and humans.The eye movements on these pictures by the two species were recorded using a Tobii eye-tracking system.We found that monkeys paid more attention to the head and body in pictures containing monkeys,whereas both monkeys and humans paid more attention to the head in pictures containing humans.The humans always concentrated on the eyes and head in all the pictures,indicating the social role of facial cues in society.Although humans paid more attention to the hands than monkeys,both monkeys and humans were interested in the hands and what was being done with them in the pictures.This may suggest the importance and necessity of hands for survival.Finally,monkeys scored lower in eye-tracking when fixating on the pictures,as if they were less interested in looking at the screen than humans.The locations of fixation in monkeys may provide insight into the role of eye movements in an evolutionary context.展开更多
文摘This article compares how people with normal bodies and bodies that deviate from dominant media-depicted body ideals, live with and accept their bodies. Media images of ideal bodies encompass judging gazes. These gazes affect and discipline people and may make it challenging for them to accept their bodies. The data material is part of the interdisciplinary Nordic project called “Beauty comes from within: looking good as a challenge in health promotion”. Based on 20 interviews with Norwegian men and women, of whom 10 have particular appearance-related problems, the article discusses the relationship between the media-depicted body ideals, descriptions by informants of what a good-looking body is, body satisfaction and body practices. The article shows resonance between how people describe good-looking bodies and satisfaction or not with own bodies. Women express more dissatisfaction with their bodies than men, but the article shows that many have strategies for trying to accept their bodies as they are. The comparative perspective highlight that the people having deviant bodies, more than those with normal bodies, balance the idea of “being myself” with the idea of “doing the best out of my (bodily) situation”. Most interestingly, they show that it is harder to accept handicaps that are changeable, like overweight, than harelips, deformed legs and skin injuries. As such, overweight becomes a double burden.
文摘Much more than simple viewing, gaze, which is a kind of concentrated thorough long-term viewing, makes the gazer and the gazed establish a complicated power relationship. Frequently, women are in a position of being gazed at by others instead of taking the initiative to have a counter gaze. Consequently, they are confronted with abnormal self identity construction and alienation under the gazes of others and the self gaze brought by others’ gazes. This is fully revealed in the experiences of three representative female characters in Fitzgerald’s The Great Gatsby. This paper elaborates on their experiences and the relative consequences under gazes-deviation of femininity and other aspects, in the hope of providing a refreshing perspective for the study on this novel, gaze and gender issues.
文摘As the gentle glow of the tropical sunset dripped in through the cabin door,Yogyakarta greeted us with a warming breeze,rustling foliage,and vibrant hum of Indonesian and Javanese.While wrestling with our luggage across the hallways,we scanned the scene excitedly,meeting the curious gazes of locals adorned in colorful batiks and hijabs.That was my first memory of Yogyakarta,one of the richest cities in culture and history in Indonesia.
文摘Many applications,including security systems,medical diagnostics,and human-computer interfaces,depend on eye gaze recognition.However,due to factors including individual variations,occlusions,and shifting illumination conditions,real-world scenarios continue to provide difficulties for accurate and consistent eye gaze recognition.This work is aimed at investigating the potential benefits of employing transfer learning to improve eye gaze detection ability and efficiency.Transfer learning is the process of fine-tuning pre-trained models on smaller,domain-specific datasets after they have been trained on larger datasets.We study several transfer learning algorithms and evaluate their effectiveness on eye gaze identification,including both Regression and Classification tasks,using a range of deep learning architectures,namely AlexNet,Visual Geometry Group(VGG),InceptionV3,and ResNet.In this study,we evaluate the effectiveness of transfer learning-basedmodels against models that were trained fromscratch using eye-gazing datasets on grounds of various performance and loss metrics such as Precision,Accuracy,and Mean Absolute Error.We investigate the effects of different pre-trainedmodels,dataset sizes,and domain gaps on the transfer learning process,and the findings of our study clarify the efficacy of transfer learning for eye gaze detection and offer suggestions for the most successful transfer learning strategies to apply in real-world situations.
基金supported by the National Natural Science Foundation of China(32471055 and 82171090)Shanghai Municipal Science and Technology Major Project(2018SHZDZX01)ZJLab,Shanghai Center for Brain Science and Brain-Inspired Technology,the Lingang Laboratory(LG-QS-202203-12).
文摘Throughout the lifespan,an animal can encounter predators frequently,thus the ability to avoid attacks from predators is crucial for its survival.The chances of evading danger can be greatly improved if the animal can respond immediately to the threat.Therefore,when an animal detects a threat through its visual system,it must quickly direct its gaze and attention toward the source of danger,assess the threat level,and take appropriate action.
文摘This paper probes into the transformation process and the deep meaning of the female characters in The Case of a Missing Seventeen and Gone Girl.The research shows that Wang Di and Amy realize the transformation from“being gazed at”to“gazer”through the disappearance in the Chinese and Western cultural backgrounds respectively.Wang Di’s secret resistance reflects the traditional culture’s suppression of women’s self-awareness,while Amy controls the development of the story through carefully planned strategies,revealing the complex position of women in the marriage system.These two works show the struggle and breakthrough of women in the gender power structure,and emphasize the necessity of gender equality consciousness.Through a detailed study of role analysis and narrative strategies,this paper provides a new perspective for understanding the survival and growth of modern women in gender relations.
文摘Recent advances in artificial intelligence and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier.Therefore,developing reliable and robust deepfake video detection mechanisms is paramount.This research introduces a novel real-time deepfake video detection framework by analyzing gaze and blink patterns,addressing the spatial-temporal challenges unique to gaze and blink anomalies using the TimeSformer and hybrid Transformer-CNN models.The TimeSformer architecture leverages spatial-temporal attention mechanisms to capture fine-grained blinking intervals and gaze direction anomalies.Compared to state-of-the-art traditional convolutional models like MesoNet and EfficientNet,which primarily focus on global facial features,our approach emphasizes localized eye-region analysis,significantly enhancing detection accuracy.We evaluate our framework on four standard datasets:FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb.The proposed framework results reveal higher accuracy,with the TimeSformer model achieving accuracies of 97.5%,96.3%,95.8%,and 97.1%,and with the hybrid Transformer-CNN model demonstrating accuracies of 92.8%,91.5%,90.9%,and 93.2%,on FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb datasets,respectively,showing robustness in distinguishing manipulated from authentic videos.Our research provides a robust state-of-the-art framework for real-time deepfake video detection.This novel study significantly contributes to video forensics,presenting scalable and accurate real-world application solutions.
基金supported by Guangdong Yangfan Program for Innovative and Entrepreneurial Teams(Grant No.2017YT05G026)the Natural Science Foundation of China(Grant No.51975126)+1 种基金the Key Research and Development Program of Guangdong Province(Grant No.2019B090915001)the Natural Science Foundation of Guangdong Province(Grant No.2022A1515012605).
文摘The interferences,such as the background,eyebrows,eyelashes,eyeglass frames,illumination variations,and specular lens reflection pose challenges for pupil localization in natural scenes.In this paper,we propose a novel method comprising improved YOLOv8 and Illumination Adaptive Algorithm(IAA),for fast and accurate pupil localization in natural scenes.We introduced deformable convolution into the backbone of YOLOv8 to enable the model to extract the eye regions more accurately,thus avoiding the interference of background outside the eye on subsequent pupil localization.The IAA can reduce the interference of illumination variations and lens reflection by adjusting automatically the grayscale of the image according to the exposure.Experimental results verified that the improved YOLOv8 exhibited an eye detection accuracy(IOU≥0.5)of 90.2%,while the IAA leads to a 9.15%improvement on 5-pixels error ratio e5 with processing times in the tens of microseconds on GPU.Experimental results on the benchmark database CelebA show that the proposed method for pupil localization achieves an accuracy of 83.05%on e5 and achieves real-time performance of 210 FPS on GPU,outperforming other advanced methods.
文摘The gaze is a means of power that can flow through family relationships.It has intense regulatory overtones.In her short story Mr.Tang’s Girls,Malaysian-Chinese Anglophone diasporic writer Shirley Geok-lin Lim shows the conflict between Eastern and Western cultures and the resistance of women under the oppression of patriarchy through the portrayal of the father,Ah Kong,and the eldest daughter,Kim Li.Based on Foucault’s discipline gaze and Hooks’oppositional gaze,this article analyzes the power operation in the story from the following three aspects:the male gaze,discipline and self-discipline,and the oppositional gaze.Kim Li’s subjective image of breaking free from male ownership control has been presented.It suggests the difficulties encountered by female groups in their rebellion against the male gaze and their pursuit of freedom and emancipation.It also reflects the tragedy of awakening women’s destinies under the dual oppression of patriarchy and the East-Westen cultural conflict.
文摘This essay offers a comprehensive comparative analysis of female warriors in the Marvel Cinematic Universe(MCU)and Wuxia films.Both genres portray powerful and empowered female characters who defy societal expectations and embody resilience,effectively challenging gender norms and promoting female empowerment.However,despite their strength,many of these women warriors face certain narrative factors,such as the male gaze and a predetermined fate,which can restrict their agency and curtail their full potential.And it is within the realm of Wuxia films that the captivating element of cross-dressing among female warriors emerges,providing a nuanced exploration of identity and the constraints imposed by society.
文摘This paper contributes to explain the global warming instead of"giving up"and thinking about passively adapting to climate change or global warming.It makes more sense to tackle what creates the greenhouse effect and contributes to global warming.The greenhouse effect is not only due to GHGs emissions,but also to the excess IR radiation emitted during the day,by artificial surfaces,following the absorption of solar radiation.The phenomenon should be compared to that of radiative forcing well known by climatologists and which makes the link between atmospheric pollution and the density of heat fluxes stopped by the atmosphere inducing global warming.It becomes clear that type an equation here.The surplus CO2 and IR radiation emissions influence global warming,not to mention the direct part of the heat released by the combustion of fossil fuels and even renewable(wood fires,biogas,friction of wind turbine propellers with the air).
文摘The biathlon,an Olympic sporting discipline that combines cross-country skiing with rifle marksmanship,entails considerable physiological demands,as well as fine motor control while shooting after intense exercise and under mental pressure.Although much of our knowledge about cross-country skiing is probably also applicable to the biathlon,carrying the rifle and shooting under stress make this discipline somewhat unique.The present review summarizes and examines the scientific literature related to biathlon performance,with a focus on physiological and biomechanical factors and shooting technique,as well as psychophysiological aspects of shooting performance.We conclude with suggestions for future research designed to extend our knowledge about the biathlon,which is presently quite limited.2018 Published by Elsevier B.V.on behalf of Shanghai University of Sport.This is an open access article under the CC BY-NC-ND license.(http://creativecommons.org/licenses/by-nc-nd/4.0/).
基金supported by National Natural Science Foundation of China(61533019,U1811463)Open Fund of the State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences(Y6S9011F51)in part by the EPSRC Project(EP/N025849/1)
文摘Eye center localization is one of the most crucial and basic requirements for some human-computer interaction applications such as eye gaze estimation and eye tracking. There is a large body of works on this topic in recent years, but the accuracy still needs to be improved due to challenges in appearance such as the high variability of shapes, lighting conditions, viewing angles and possible occlusions. To address these problems and limitations, we propose a novel approach in this paper for the eye center localization with a fully convolutional network(FCN),which is an end-to-end and pixels-to-pixels network and can locate the eye center accurately. The key idea is to apply the FCN from the object semantic segmentation task to the eye center localization task since the problem of eye center localization can be regarded as a special semantic segmentation problem. We adapt contemporary FCN into a shallow structure with a large kernel convolutional block and transfer their performance from semantic segmentation to the eye center localization task by fine-tuning.Extensive experiments show that the proposed method outperforms the state-of-the-art methods in both accuracy and reliability of eye center localization. The proposed method has achieved a large performance improvement on the most challenging database and it thus provides a promising solution to some challenging applications.
文摘An active stereo vision system based on a model of neural pathways of human binocular motor system is proposed. With this model, it is guaranteed that the two cameras of the active stereo vision system can keep their lines of sight fixed on the same target object during smooth pursuit. This feature is very important for active stereo vision systems, since not only 3D reconstruction needs the two cameras have an overlapping field of vision, but also it can facilitate the 3D reconstruction algorithm. To evaluate the effectiveness of the proposed method, some software simulations are done to demonstrate the same target tracking characteristic in a virtual environment apt to mistracking easily. Here, mistracking means two eyes track two different objects separately. Then the proposed method is implemented in our active stereo vision system to perform real tracking task in a laboratory scene where several persons walk self-determining. Before the proposed model is implemented in the system, mistracking occurred frequently. After it is enabled, mistracking never occurred. The result shows that the vision system based on neural pathways of human binocular motor system can reliably avoid mistracking.
基金Akanksha Tiwari was supported by DST-INSPIRE fellowship from the Department of Science and Technology,Government of India.
文摘Mental rotation(MR)is an important aspect of cognitive processing in gaming since transformation andmanipulation of visuospatial information are necessary in order to execute a gaming task.This study provides insights on saccadic characteristics in gaming task performance that involves 2D and 3D isomorphic objects with varying angular disparity.Healthy participants(N=60)performedMR gaming task.Each participantwas tested individually in an acoustic treated lab environment.Gaze behavior data of all participants were recorded during task execution and analyzed to find the changes in spatiotemporal characteristics of saccades associated with the variation in angular disparity and dimensionality.There were four groups with unique combination of angular disparity and dimensionality,each with fifteen participants randomly assigned.Results indicate that the spatial characteristics of the object affect the temporal aspect of saccade(duration),whereas the spatial aspect of the saccade(amplitude)is influenced by the objects’dimension.A longer saccade duration indicates a prolonged suppression of spatial information processing during the MR tasks with objects at convex range angular disparities.Therefore,the MR tasks with convex angular disparity become more complex to process compared to the tasks with reflex angular disparity.MR process is faster and more accurate with 3D objects compared to the 2D objects.There is an interaction between angular disparity and dimensionality in terms of mental demand,such that theMR processing with 2Dobjects in reflex angular disparitywasmoremental demanding than that of convex angular disparity;however,this trend was absent in case of 3Dobjects.Hence,during the MR task,the longer saccade duration implies that the taskswith convex angular disparities become comparativelymore challenging.Also,the lower saccadic amplitude for 2D objects indicates difficulties in processing due to deficient visual features.The findings could help in framing the computer-based game(or videogame)concerningMRabilities for training or rehabilitation purposes.
基金funded by the“Intelligent Recognition Industry Service Research Center”from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education(MOE)in Taiwan.Grant Number:N/A and the APC was funded by the aforementioned Project.
文摘The pandemic situation in 2020 brought about a‘digitized new normal’and created various issues within the current education systems.One of the issues is the monitoring of students during online examination situations.A system to determine the student’s eye gazes during an examination can help to eradicate malpractices.In this work,we track the users’eye gazes by incorporating twelve facial landmarks around both eyes in conjunction with computer vision and the HAAR classifier.We aim to implement eye gaze detection by considering facial landmarks with two different Convolutional Neural Network(CNN)models,namely the AlexNet model and the VGG16 model.The proposed system outperforms the traditional eye gaze detection system which only uses computer vision and the HAAR classifier in several evaluation metric scores.The proposed system is accurate without the need for complex hardware.Therefore,it can be implemented in educational institutes for the fair conduct of examinations,as well as in other instances where eye gaze detection is required.
基金supported by the Science and Technology Support Project of Sichuan Science and Technology Department(2018SZ0357)and China Scholarship。
文摘A person’s eye gaze can effectively express that person’s intentions.Thus,gaze estimation is an important approach in intelligent manufacturing to analyze a person’s intentions.Many gaze estimation methods regress the direction of the gaze by analyzing images of the eyes,also known as eye patches.However,it is very difficult to construct a person-independent model that can estimate an accurate gaze direction for every person due to individual differences.In this paper,we hypothesize that the difference in the appearance of each of a person’s eyes is related to the difference in the corresponding gaze directions.Based on this hypothesis,a differential eyes’appearances network(DEANet)is trained on public datasets to predict the gaze differences of pairwise eye patches belonging to the same individual.Our proposed DEANet is based on a Siamese neural network(SNNet)framework which has two identical branches.A multi-stream architecture is fed into each branch of the SNNet.Both branches of the DEANet that share the same weights extract the features of the patches;then the features are concatenated to obtain the difference of the gaze directions.Once the differential gaze model is trained,a new person’s gaze direction can be estimated when a few calibrated eye patches for that person are provided.Because personspecific calibrated eye patches are involved in the testing stage,the estimation accuracy is improved.Furthermore,the problem of requiring a large amount of data when training a person-specific model is effectively avoided.A reference grid strategy is also proposed in order to select a few references as some of the DEANet’s inputs directly based on the estimation values,further thereby improving the estimation accuracy.Experiments on public datasets show that our proposed approach outperforms the state-of-theart methods.
文摘EOG is a biosignal which occurs during eye activities such as eye movement and blink. EOG has a linear relationship with gaze distance. Detection object position in 3-dimensional area using gaze motion was proposed in this research. To calculate the distance of gaze motion in pixel unit, affine transform method was developed. The homogeneous matrix from five geometry processes: transformation-1, rotation, transformation-2, shear, and dilatation was determined. To give tracking ability in 3-dimensional area, two cameras were attached each in front of and top side of object. The cameras were accessed by voluntary blink. The EOG characteristic of blink eye was determined based on the absolute ratio between positive peak and negative peak which was greater than 1. Every blink toggled the active camera. The position of object was given by the perceived locations from the two cameras. Every movement in pixel coordinate was converted into centimeter unit. Then, the perceived location was used to calculate to the base coordinate. The result shows that the blink method successfully accessed the camera. Both of the cameras could show the location of object from their side. Calculating the gaze distance using affine transform also gave a satisfied result. Using this method controlling a machine in 3-dimensional area by EOG could be developed.
基金Supported by the National Natural Science Foundation of China (61772468, 62172368)the Fundamental Research Funds forthe Provincial Universities of Zhejiang (RF-B2019001)
文摘Background Eye-tracking technology for mobile devices has made significant progress.However,owing to limited computing capacity and the complexity of context,the conventional image feature-based technology cannot extract features accurately,thus affecting the performance.Methods This study proposes a novel approach by combining appearance-and feature-based eye-tracking methods.Face and eye region detections were conducted to obtain features that were used as inputs to the appearance model to detect the feature points.The feature points were used to generate feature vectors,such as corner center-pupil center,by which the gaze fixation coordinates were calculated.Results To obtain feature vectors with the best performance,we compared different vectors under different image resolution and illumination conditions,and the results indicated that the average gaze fixation accuracy was achieved at a visual angle of 1.93°when the image resolution was 96×48 pixels,with light sources illuminating from the front of the eye.Conclusions Compared with the current methods,our method improved the accuracy of gaze fixation and it was more usable.
基金supported by the National Basic Research Development Program (973 program) of China (2012CB825500, 2011CB707800)Basic Research Frontier Project of Chinese Academy of Sciences, China (KSCX2-EW-J23)+3 种基金the National Natural Science Foundation of China (31271167, 31271168, 81271495, 31070963, 31070965)the Strategic Priority Research Program of the Chinese Academy of Sciences, China (XDB02020000)the Academy of Finland (National Centers of Excellence Program 2006-2011, Grant No.259752) the aivoAALTO Project of the Aalto University, Finland
文摘Studies estimating eye movements have demonstrated that non-human primates have fixation patterns similar to humans at the first sight of a picture.In the current study,three sets of pictures containing monkeys,humans or both were presented to rhesus monkeys and humans.The eye movements on these pictures by the two species were recorded using a Tobii eye-tracking system.We found that monkeys paid more attention to the head and body in pictures containing monkeys,whereas both monkeys and humans paid more attention to the head in pictures containing humans.The humans always concentrated on the eyes and head in all the pictures,indicating the social role of facial cues in society.Although humans paid more attention to the hands than monkeys,both monkeys and humans were interested in the hands and what was being done with them in the pictures.This may suggest the importance and necessity of hands for survival.Finally,monkeys scored lower in eye-tracking when fixating on the pictures,as if they were less interested in looking at the screen than humans.The locations of fixation in monkeys may provide insight into the role of eye movements in an evolutionary context.
