Acoustic event detection-based individualized things-human interaction using Matlab-microcontroller interoperation
Seongseop Kim, Joonghyun An, Jeonghun Cho, Daejin Park · 2016
Most IoT-related approaches have tried to establish the relation by connecting the network between things. The proposed research will present how the pervasive interaction of eco-system formed by touching the objects between humans and things can be recognized on purpose. By collecting and sharing the detected patterns among all kinds of things, we can construct the environment which enables individualized interactions of different objects. This study aims to implement the prototype of sensor processor integrated with system using Arduino-Matlab/Simulink hybrid-interoperation environment. In the experiment, the piezo transducer is used to detect the vibration by vibrating the surface using acoustic wave, which has an individualized signal shape in terms of time axis. The signal distortion in time and frequency domain is recorded into memory tracer within sensor processor to extract the meaningful pattern. Our initial prototype of the acoustic touch processor is implemented by using off-the-shelf MCU and the integrated framework based on Matlab/Simulink model demonstrates a possibility to enable the individualization of the touch-sensing for the user on purpose.