A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge

10.1109/TCSII.2020.3010318

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Bibliographic Details
Main Authors:	LUO YUXUAN, LI YIDA, THAM CHEN KHONG, HENG CHUN HUAT, THEAN VOON YEW, AARON
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Language:	English
Published:	IEEE 2021
Subjects:	AI at the edge, capacitive sensors, edge computing, machine learning, multi-channel sensing, smart glove, wireless sensors
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/192015
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-192015
record_format	dspace
spelling	sg-nus-scholar.10635-1920152024-04-17T03:20:25Z A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge LUO YUXUAN LI YIDA THAM CHEN KHONG HENG CHUN HUAT THEAN VOON YEW, AARON ELECTRICAL AND COMPUTER ENGINEERING AI at the edge, capacitive sensors, edge computing, machine learning, multi-channel sensing, smart glove, wireless sensors 10.1109/TCSII.2020.3010318 IEEE Transactions on Circuits and Systems II: Express Briefs 67 9 1624-1628 2021-06-14T02:50:25Z 2021-06-14T02:50:25Z 2020-07-20 Article LUO YUXUAN, LI YIDA, THAM CHEN KHONG, HENG CHUN HUAT, THEAN VOON YEW, AARON (2020-07-20). A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge. IEEE Transactions on Circuits and Systems II: Express Briefs 67 (9) : 1624-1628. ScholarBank@NUS Repository. https://doi.org/10.1109/TCSII.2020.3010318 15583791 https://scholarbank.nus.edu.sg/handle/10635/192015 en CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ IEEE
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	AI at the edge, capacitive sensors, edge computing, machine learning, multi-channel sensing, smart glove, wireless sensors
spellingShingle	AI at the edge, capacitive sensors, edge computing, machine learning, multi-channel sensing, smart glove, wireless sensors LUO YUXUAN LI YIDA THAM CHEN KHONG HENG CHUN HUAT THEAN VOON YEW, AARON A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
description	10.1109/TCSII.2020.3010318
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING LUO YUXUAN LI YIDA THAM CHEN KHONG HENG CHUN HUAT THEAN VOON YEW, AARON
format	Article
author	LUO YUXUAN LI YIDA THAM CHEN KHONG HENG CHUN HUAT THEAN VOON YEW, AARON
author_sort	LUO YUXUAN
title	A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
title_short	A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
title_full	A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
title_fullStr	A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
title_full_unstemmed	A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
title_sort	wireless multi-channel capacitive sensor system for efficient glove-based gesture recognition with ai at the edge
publisher	IEEE
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/192015
_version_	1800914825759424512

A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge

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