Event-detection microcontroller using interoperation-based acoustic surface sensing for individualized things-human interaction

This paper proposes the Matlab/Simulink interoperation framework to facilitate the touch-based interaction between the things and human. The basic touch detection is based on the surface acoustic sensing method. The atomic touch events are traced into the on-chip memory in the microcontroller. The proposed platform provides the useful interfaces so that the programmer can describe the corresponded services to the specific event type. By collecting and sharing the patterns detected among all kinds of things, we can construct an environment that enables individualized interactions with different objects. The microcontroller with acoustic surface sensor interface is dynamically connected with the server-side computer running Matlab/Simulink, in which the human intent on purpose will be identified. This paper shows our experience to realize the architecture of initial prototype for the acoustic touch processor by using an off-the-shelf MCU and the integrated framework based on the Matlab/Simulink model to extract the individualized intent from user’s touch event sequence. The implementation for the proposed approach will show how the pervasive interaction of an ecosystem formed by touching objects between humans and things can be recognized on purpose.