Study on User Interface for a Capacitive-Sensor Based Smart Device
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In this paper, we designed HW / SW interfaces for processing the signals of capacitive sensors like Electric Potential Sensor (EPS) to detect the surrounding electric field disturbance as feature signals in motion recognition systems. We implemented a smart light control system with those interfaces. In the system, the on/off switch and brightness adjustment are controlled by hand gestures using the designed and fabricated interface circuits. PWM (Pulse Width Modulation) signals of the controller with a driver IC are used to drive the LED and to control the brightness and on/off operation. Using the hand-gesture signals obtained through EPS sensors and the interface HW/SW, we can not only construct a gesture instructing system but also accomplish the faster recognition speed by developing dedicated interface hardware including control circuitry. Finally, using the proposed hand-gesture recognition and signal processing methods, the light control module was also designed and implemented. The experimental result shows that the smart light control system can control the LED module properly by accurate motion detection and gesture classification.
Abstract
In this paper, we designed HW / SW interfaces for processing the signals of capacitive sensors like Electric Potential Sensor (EPS) to detect the surrounding electric field disturbance as feature signals in motion recognition systems. We implemented a smart light control system with those interfaces. In the system, the on/off switch and brightness adjustment are controlled by hand gestures using the designed and fabricated interface circuits. PWM (Pulse Width Modulation) signals of the controller with a driver IC are used to drive the LED and to control the brightness and on/off operation. Using the hand-gesture signals obtained through EPS sensors and the interface HW/SW, we can not only construct a gesture instructing system but also accomplish the faster recognition speed by developing dedicated interface hardware including control circuitry. Finally, using the proposed hand-gesture recognition and signal processing methods, the light control module was also designed and implemented. The experimental result shows that the smart light control system can control the LED module properly by accurate motion detection and gesture classification.
참고문헌 (11)
- "Notes on Natural Interaction"[URL]
- W. Liu, "Natural User Interface-Next Mainstream Product User Interface", IEEE, CAIDCD, pp.203~205 (2010)
- 홍동표, "제스처기반 사용자 인터페이스에 대한 연구 동향", Telecommunications Review, 18(3), pp.403~413 (2008), 에스케이텔레콤 (주)
- I. K. Ha, "Evolution of Mobile UI:Beyond Touch", LG Institute of Eco nomics Weekly Focus, 19~24 (2012)
- H. Prance, "Position and Movement Sensing at Metre Standoff Distances Using Ambient Electric Field", Measurement Science and Technology, 23(11), pp.5101~5108 (2012)
- R. J. Prance, "Remote Detection of Human Electrophysiological Signals Using Electric Potential Sensors", Applied Physics Letters, 93(3) (2008)
- 천우영, "LabVIEW 기반 EPS 동작신호 검출 및 분석 시스템 구현", 스마트미디어저널, 5(3), pp.25~29 (2016), (사)한국스마트미디어학회
- 천우영, "인체전자기장 신호를 응용하여 손동작 인식을 위한 하드웨어 구현에 대한 연구", 스마트미디어저널, 5(3), pp.49~53 (2016), (사)한국스마트미디어학회
- 천우영, "주변 전기장 측정센서를 이용한 손동작 신호 검출을 위한 신호처리시스템 연구", 스마트미디어저널, 6(2), pp.26~32 (2017), (사)한국스마트미디어학회
- K. Tang, "Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics", Sensors, 18, pp.1677~ (2018)[DOI]
- B. Fu, "Performing Indoor Localization with Electric Potential Sensing", J. of Ambient Intelligence and Humanized Computing, 10(2), pp.731~746 (2019)