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Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor
The goal of this research was to develop an intuitive wearable human-machine interface (HMI), utilizing an optical sensor. The proposed system quantifies wrist pronation and supination using an optical displacement sensor. Compared with existing systems, this HMI ensures intuitiveness by relying on...
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creator | Popp, Fiona Liu, Ming Huang, He Helen |
description | The goal of this research was to develop an intuitive wearable human-machine interface (HMI), utilizing an optical sensor. The proposed system quantifies wrist pronation and supination using an optical displacement sensor. Compared with existing systems, this HMI ensures intuitiveness by relying on direct measurement of forearm position, minimizes involved sensors, and is expected to be long-lasting. To test for feasibility, the developed HMI was implemented to control a prosthetic wrist based on forearm rotation of able-bodied subjects. Performance of optical sensor system (OSS) prosthesis control was compared to electromyography (EMG) based direct control, for six able-bodied individuals, using a clothespin relocation task. Results showed that the performance of OSS control was comparable to direct control, therefore validating the feasibility of the OSS HMI. |
doi_str_mv | 10.1109/EMBC46164.2021.9629851 |
format | conference_proceeding |
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Results showed that the performance of OSS control was comparable to direct control, therefore validating the feasibility of the OSS HMI.</description><subject>Artificial Limbs</subject><subject>Electromyography</subject><subject>Forearm</subject><subject>Humans</subject><subject>Optical sensors</subject><subject>Optical variables measurement</subject><subject>Position measurement</subject><subject>Task analysis</subject><subject>Tracking</subject><subject>Upper Extremity</subject><subject>Wearable Electronic Devices</subject><subject>Wrist</subject><subject>Wrist Joint</subject><issn>2694-0604</issn><isbn>172811179X</isbn><isbn>9781728111797</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo90M1OwkAUBeDRxAgiT2BCZummODOdzs9SEYQEQqIY3ZE709tYbTu1LSS-vSSgq7M4X87iEDLibMw5s3fT1cNEKq7kWDDBx1YJaxJ-Rq64FoZzru37OekLZWXEFJM9MmzbT8aY0MxqJi9JL5bGCm1Nn8Aj7rEIdYlVR0NGgb4hNOAKpPNdCVW0Av-RV0gXVYdNBh5pF-imAf9FZ6E52JI-hw66PFR0nwOFiq7rLvdQ0Bes2tBck4sMihaHpxyQ19l0M5lHy_XTYnK_jHKR2C6yLhHOCYeeS-6VhAyl1i7NFHiDcWLQe6kdcxlYJTGLUwdSiQS8AtQmjQfk9rhbN-F7h223LfPWY1FAhWHXboViVipmmDnQ0YnuXInptm7yEpqf7d8tB3BzBDki_teno-NfZFxw9Q</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Popp, Fiona</creator><creator>Liu, Ming</creator><creator>Huang, He Helen</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>202111</creationdate><title>Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor</title><author>Popp, Fiona ; Liu, Ming ; Huang, He Helen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i259t-9b52bb2bec141c64afe477bdf6ac8e358ecc47b0bfa964ef3dba4625ac6ae78d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial Limbs</topic><topic>Electromyography</topic><topic>Forearm</topic><topic>Humans</topic><topic>Optical sensors</topic><topic>Optical variables measurement</topic><topic>Position measurement</topic><topic>Task analysis</topic><topic>Tracking</topic><topic>Upper Extremity</topic><topic>Wearable Electronic Devices</topic><topic>Wrist</topic><topic>Wrist Joint</topic><toplevel>online_resources</toplevel><creatorcontrib>Popp, Fiona</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Huang, He Helen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Popp, Fiona</au><au>Liu, Ming</au><au>Huang, He Helen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor</atitle><btitle>2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</btitle><stitle>EMBC</stitle><addtitle>Annu Int Conf IEEE Eng Med Biol Soc</addtitle><date>2021-11</date><risdate>2021</risdate><volume>2021</volume><spage>7360</spage><epage>7363</epage><pages>7360-7363</pages><eissn>2694-0604</eissn><eisbn>172811179X</eisbn><eisbn>9781728111797</eisbn><abstract>The goal of this research was to develop an intuitive wearable human-machine interface (HMI), utilizing an optical sensor. The proposed system quantifies wrist pronation and supination using an optical displacement sensor. Compared with existing systems, this HMI ensures intuitiveness by relying on direct measurement of forearm position, minimizes involved sensors, and is expected to be long-lasting. To test for feasibility, the developed HMI was implemented to control a prosthetic wrist based on forearm rotation of able-bodied subjects. Performance of optical sensor system (OSS) prosthesis control was compared to electromyography (EMG) based direct control, for six able-bodied individuals, using a clothespin relocation task. Results showed that the performance of OSS control was comparable to direct control, therefore validating the feasibility of the OSS HMI.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>34892798</pmid><doi>10.1109/EMBC46164.2021.9629851</doi><tpages>4</tpages></addata></record> |
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ispartof | 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.7360-7363 |
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source | IEEE Xplore All Conference Series |
subjects | Artificial Limbs Electromyography Forearm Humans Optical sensors Optical variables measurement Position measurement Task analysis Tracking Upper Extremity Wearable Electronic Devices Wrist Wrist Joint |
title | Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor |
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