An intelligent skin based self-powered finger motion sensor integrated with triboelectric nanogenerator

被引:181
作者
Dhakar, Lokesh [1 ,2 ]
Pitchappa, Prakash [1 ]
Tay, Francis Eng Hock [2 ,3 ]
Lee, Chengkuo [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, 4 Engn Dr 3, Singapore 117576, Singapore
[2] Natl Univ Singapore, NUS Grad Sch Integrat Sci & Engn, 28 Med Dr, Singapore 117456, Singapore
[3] Natl Univ Singapore, Dept Mech Engn, 9 Engn Dr 1, Singapore 117576, Singapore
基金
新加坡国家研究基金会;
关键词
Human motion sensor; Intelligent sensor; Capacitive coupling; Triboelectric nanogenerator; Biomechanical energy harvesting; HARVESTING BIOMECHANICAL ENERGY; PRESSURE SENSORS; FALL DETECTION; GENERATOR; SYSTEM; VIBRATION; FRICTION; DRIVEN; FILMS; BODY;
D O I
10.1016/j.nanoen.2015.04.020
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070305 [高分子化学与物理];
摘要
Tracking human gestures and movement is crucial for development of advanced input technologies and human computer interfaces. In this paper we demonstrate a novel flexible, low cost and wearable self-powered motion sensor to detect human finger motion for static positions and dynamic motion. As the finger moves to different positions, the capacitance between finger skin and device electrode changes. The device uses the change in capacitive coupling with human skin (epidermis) to measure the static and dynamic positions of finger. It is proposed that the device can utilize low frequency electric fields generated by the household power lines and equipment to passively sense the human finger movement. The device also acts as a triboelectric nanogenerator using outer epidermis as an active triboelectric layer for surface charge generation. It is shown to generate a maximum voltage of 70 V and a current area density of 2.7 mu A/cm(2) at a load resistance of 5 M Omega As a demonstration of a new approach for detection of static finger gestures and dynamic motion which is self-powered and intuitive, this work contributes towards development of self-powered sensors for human computer interfacing and osteoarthritis rehabilitation applications. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:532 / 540
页数:9
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