Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped behaviors.Existing intervention methods ha...Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped behaviors.Existing intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to implement.Extended Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation skills.This paper compares XR theoretical models,application examples,and intervention effects.The study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning theories.It utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention outcomes.Participants showed effective improvement in competency barriers using XR-based multimodal interactive platforms.However,Mixed Reality(MR)technology still requires further development.Future research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.展开更多
Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose ...Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose issues of sudden aggressiveness,strong destructiveness,and criminal premeditation,this paper proposes a prevention and control system based on multimodal perception technology.It elaborates on the research process,including design concepts,technical routes,and implementation strategies.The innovation lies in integrating the Keras deep learning framework and the ResNet-50 model-based micro-expression analysis algorithm to construct a highly intelligent prevention and control system.This system realizes realtime monitoring and analysis of drivers'emotions and behaviors,and can control vehicles safely in emergency situations.Simulation tests show that under Simulink,the system exhibits excellent performance and high efficiency.For intentional acceleration and pedestrian ramming scenarios,it triggers Automatic Emergency Braking(AEB)within 1.2 seconds,reducing the collision speed to 20 km/h and mitigating casualties.Compared with traditional technologies,its safety is significantly improved,providing a new solution for the field of road traffic safety.展开更多
基金supported by grants from the National Natural Science Foundation of China(82301735)The University Synergy Innovation Program of Anhui Province(GXXT-2021-003)The Basic and Clinical Collaborative Research Enhancement Programme of Anhui Medical University(2022xkjT016).
文摘Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped behaviors.Existing intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to implement.Extended Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation skills.This paper compares XR theoretical models,application examples,and intervention effects.The study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning theories.It utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention outcomes.Participants showed effective improvement in competency barriers using XR-based multimodal interactive platforms.However,Mixed Reality(MR)technology still requires further development.Future research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.
文摘Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose issues of sudden aggressiveness,strong destructiveness,and criminal premeditation,this paper proposes a prevention and control system based on multimodal perception technology.It elaborates on the research process,including design concepts,technical routes,and implementation strategies.The innovation lies in integrating the Keras deep learning framework and the ResNet-50 model-based micro-expression analysis algorithm to construct a highly intelligent prevention and control system.This system realizes realtime monitoring and analysis of drivers'emotions and behaviors,and can control vehicles safely in emergency situations.Simulation tests show that under Simulink,the system exhibits excellent performance and high efficiency.For intentional acceleration and pedestrian ramming scenarios,it triggers Automatic Emergency Braking(AEB)within 1.2 seconds,reducing the collision speed to 20 km/h and mitigating casualties.Compared with traditional technologies,its safety is significantly improved,providing a new solution for the field of road traffic safety.
