short-paper

Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement

Authors:

A. Pouryazdan,

R. J. Prance,

H. Prance,

D. RoggenAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 846 - 850

https://doi.org/10.1145/2968219.2968286

Published: 12 September 2016 Publication History

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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).

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Alim AImtiaz M(2023)Wearable Sensors for the Monitoring of Maternal Health—A Systematic ReviewSensors10.3390/s2305241123:5(2411)Online publication date: 22-Feb-2023
https://doi.org/10.3390/s23052411
Bian SLiu MZhou BLukowicz P(2022)The State-of-the-Art Sensing Techniques in Human Activity Recognition: A SurveySensors10.3390/s2212459622:12(4596)Online publication date: 17-Jun-2022
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Bello HZhou BSuh SSanchez Marin LLukowicz P(2022)Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as AntennasFrontiers in Computer Science10.3389/fcomp.2022.9152804Online publication date: 22-Jun-2022
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Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement

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Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 12 September 2016

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Alim AImtiaz M(2023)Wearable Sensors for the Monitoring of Maternal Health—A Systematic ReviewSensors10.3390/s2305241123:5(2411)Online publication date: 22-Feb-2023
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Bian SLiu MZhou BLukowicz P(2022)The State-of-the-Art Sensing Techniques in Human Activity Recognition: A SurveySensors10.3390/s2212459622:12(4596)Online publication date: 17-Jun-2022
https://doi.org/10.3390/s22124596
Bello HZhou BSuh SSanchez Marin LLukowicz P(2022)Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as AntennasFrontiers in Computer Science10.3389/fcomp.2022.9152804Online publication date: 22-Jun-2022
https://doi.org/10.3389/fcomp.2022.915280
Hu YYan Y(2022)A Wearable Electrostatic Sensor for Human Activity MonitoringIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.321429571(1-10)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3214295
Yan YHu YWang LQian XZhang WReda KWu JZheng G(2021)Electrostatic sensors – Their principles and applicationsMeasurement10.1016/j.measurement.2020.108506169(108506)Online publication date: Feb-2021
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Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns

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