TY - GEN
T1 - Acoustic event detection-based individualized things-human interaction using Matlab-microcontroller interoperation
AU - Kim, Seong Seop
AU - An, Joonghyun
AU - Cho, Jeonghun
AU - Park, Daejin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85010443427&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2016.7800383
DO - 10.1109/GCCE.2016.7800383
M3 - Conference contribution
AN - SCOPUS:85010443427
T3 - 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
BT - 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Global Conference on Consumer Electronics, GCCE 2016
Y2 - 11 October 2016 through 14 October 2016
ER -