期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Hand Gestures for Elderly Care Using a Microsoft Kinect
1
作者 Munir Oudah Ali Al-Naji javaan chahl 《Nano Biomedicine & Engineering》 2020年第3期197-204,共8页
The link between humans and computers,called human-computer interaction(HCI)techniques,has the potential to improve quality of life,where analysis of the information collected from humans through computers allows pers... The link between humans and computers,called human-computer interaction(HCI)techniques,has the potential to improve quality of life,where analysis of the information collected from humans through computers allows personal patient requirements to be achieved.Among them,a computer vision system for helping elderly patients currently attracts a large amount of research interest to avail of personal requirements.This paper proposes a real-time computer vision system to recognize hand gestures for elderly patients who are disabled or unable to translate their orders or feelings into words.The proposed system uses a Microsoft Kinect v2 Sensor,installed in front of the elderly patient,to recognize hand signs that correspond to a specific request and sends their meanings to the care provider or family member through a microcontroller and global system for mobile communications(GSM).The experimental results illustrated the effectiveness of the proposed system,which showed promising results with several hand signs,whilst being reliable,safe,comfortable,and cost-effective. 展开更多
关键词 Real-time Non-contact computer vision system Microsoft kinect sensor Arduino nano microcontroller Global system for mobile communication(GSM) Elderly care
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部