A machine-to-machine application: Body posture recognition on smartphones for intelligent remote control

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.