A machine-to-machine application: Body posture recognition on smartphones for intelligent remote control
Jia Liu, Chaowei Wang, Juyi Qiao, Weidong Wang, Yinghai Zhang · 2012
The protection for individual privacy especially in personal computers has drawn sharply increasing attentions all over the world. Owing to the concept of machine-to-machine (M2M) communication that plays a significant role in the Internet of things (IoT), Sit&Stand, an android application is ergonomically developed to help people with smartphones prevent privacy disclosure through locking or unlocking their computers intelligently and automatically according to their body postures such as stand-up or sit-down. This paper first introduces the M2M communication, and describes system model and the principle to recognize body postures intelligently. And then, the application implementation is stated in detail. Finally a few tests are made to verify the availability of the application and further enhance its performance.