Pour Yazdan, A, Prance, R, Prance, H and Roggen, D (2016) Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement. Published in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct; Heidelberg, Germany; 12-16 September 2016. 846-850. Association for Computing Machinery ISBN 9781450344623
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Abstract
Electric potential sensors (EPS) are classified as capacitive sensors with the ability to measure small variations in electric potential or electric field remotely and accurately. Here we show how a low cost single chip version of EPS can be integrated into a wearable device such as smart watch to provide relevant information about habitual movements specifically, hair touching and scratching as well as leg movement. This new modality could be used in consumer care product research such as studying the quality of shampoos and to study restless leg syndrome remotely without the need of wearing additional sensors. In both scenarios, a single sensor was worn on the wrist, similar to a smart watch, with the sensing electrode pointing away from the body (i.e. no skin contact).
Item Type: | Conference Proceedings |
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Additional Information: | Workshop held in conjunction with UbiComp2016. |
Keywords: | Wearable sensors, Hair brushing detection, Remote leg movement detection, Electric potential sensor (EPS) |
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Subjects: | Q Science > QC Physics > QC0501 Electricity and magnetism > QC0522 Electricity T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0301 Electric meters T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics > TK7885 Computer engineering. Computer hardware |
Related URLs: | |
Depositing User: | Daniel Roggen |
Date Deposited: | 15 Jul 2016 13:30 |
Last Modified: | 13 Jul 2017 16:15 |
URI: | http://srodev.sussex.ac.uk/id/eprint/62025 |
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