PadNET: wearable physical activity detection network

This paper describes a low power, distributed platform that combines a wide range of different sensors in a wearable, hierarchical network. The architecture simplifies integration of the sensors into the user’s outfit by structuring the hierarchy according to the anatomy of the human body. To date, acceleration and magnetic field sensors were used with the platform for a series of context recognition experiments. Other devices including gyroscopes and force resistive sensors are now being integrated. All designs are available over the internet under GPL licence.