会议专题

A Smart Home Design and Implementation Based on Kinect

  We proposed a smart home cloud system based on the Kinect camera combining control unit of STM32 with SVM classifier and networking technology.Human skeleton-based identification and posture recognition is fulfilled with Kinect depth sensor, from which users can enter different positions according to their preferences for system to learn, ultimately allow appliances have accurate predictive features.Instead of using any third-party media to complete the home appliances control,our system applies face recognition and bone matching technology to open the door, or alarm stranger invasion.Together with child fall/rain protection window, home electric power detection and web controller, it can enhance the intelligent level and security capability of the current smart home system.

Smart home Kinect somatosensory device Skeleton recognition SVM

Jin-wen DENG Xue-jun ZHANG Yue WANG Mu-jun LIU

School of Computer, Electronics and Information, Guangxi University, China;Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning 530004, China

国际会议

2018 International Conference on Physics, Computing and Mathematical Modeling(PCMM2018)(2018年物理计算和数学建模国际学术会议)

上海

英文

399-403

2018-04-15(万方平台首次上网日期,不代表论文的发表时间)