随着人工智能技术的发展,婴儿监护系统在生活中的应用日益普及,本文设计了一种基于人工智能的婴幼儿行为监护系统,利用计算机视觉技术和深度学习算法,结合Raspberry Pi 4B、Camera V2等硬件设备,实现对婴幼儿行为的实时监测与智能分析...随着人工智能技术的发展,婴儿监护系统在生活中的应用日益普及,本文设计了一种基于人工智能的婴幼儿行为监护系统,利用计算机视觉技术和深度学习算法,结合Raspberry Pi 4B、Camera V2等硬件设备,实现对婴幼儿行为的实时监测与智能分析。系统通过Google MediaPipe姿态识别算法提取婴幼儿关节特征并结合设置的安全范围,采用优化后的Moondream 2模型进行多模态数据推理,显著提升系统实时性和准确性。系统引入轻量化时间序列分析模块以增强行为变化的敏感度以及动态预警功能的集成,确保监护系统的高效、可靠。通过Home Assistant平台、MQTT协议及内网穿透技术,系统支持远程访问与实时通知功能。实验结果表明,系统在准确性及稳定性方面表现良好,可广泛应用于家庭监护和智能看护场景,为婴幼儿的安全管理提供了新型解决方案。展开更多
The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potenti...The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living （SHAAL）to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM （industrial, scientific, and medical） band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate （PRR） above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.展开更多
The ability of Voice User Interface(VUI)to understand how users will express their commands naturally and intuitively is an essential component of user experience,especially when the user is interacting with the VUI f...The ability of Voice User Interface(VUI)to understand how users will express their commands naturally and intuitively is an essential component of user experience,especially when the user is interacting with the VUI for the first time.Designing an automated method for testing the usability of VUI is a challenge for two reasons.First,there are many different ways for a user to express the same intention,e.g.“play some music”,“put some music on”,etc.,that is difficult to determine in advance.Second,many VUI apps today typically rely on the platform service provider(e.g.Amazon,Google,etc.)to perform many of the speech recognition and natural language processing tasks,and these services are provided as a blackbox.Consequently,it is difficult for the app developer to obtain information about errors and user feedback.In this paper,we propose a framework,VORI,to systematically evaluate the interactability of VUI,as well as a new metric for quantifying the interactability of a VUI.We use VORI to analyze 127 applications on Alexa by sending over 82,931 commands.Our analysis results highlight that 41.7%of apps only accept strict input that has to exactly match the developer’s predefined sample commands with an interactability score of 20%or less.This suggests developers should consider a better interactability strategy in the design of VUIs,and more research is needed to further explore the design space to improve the interactability.展开更多
基金supported by the Ministry of Higher Education,Malaysia under Grant No.R.J130000.7823.4L626
文摘The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living （SHAAL）to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM （industrial, scientific, and medical） band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate （PRR） above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.
文摘The ability of Voice User Interface(VUI)to understand how users will express their commands naturally and intuitively is an essential component of user experience,especially when the user is interacting with the VUI for the first time.Designing an automated method for testing the usability of VUI is a challenge for two reasons.First,there are many different ways for a user to express the same intention,e.g.“play some music”,“put some music on”,etc.,that is difficult to determine in advance.Second,many VUI apps today typically rely on the platform service provider(e.g.Amazon,Google,etc.)to perform many of the speech recognition and natural language processing tasks,and these services are provided as a blackbox.Consequently,it is difficult for the app developer to obtain information about errors and user feedback.In this paper,we propose a framework,VORI,to systematically evaluate the interactability of VUI,as well as a new metric for quantifying the interactability of a VUI.We use VORI to analyze 127 applications on Alexa by sending over 82,931 commands.Our analysis results highlight that 41.7%of apps only accept strict input that has to exactly match the developer’s predefined sample commands with an interactability score of 20%or less.This suggests developers should consider a better interactability strategy in the design of VUIs,and more research is needed to further explore the design space to improve the interactability.
