Loading…
A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions
Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will...
Saved in:
Published in: | IEEE sensors journal 2011-03, Vol.11 (3), p.522-529 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43 |
---|---|
cites | cdi_FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43 |
container_end_page | 529 |
container_issue | 3 |
container_start_page | 522 |
container_title | IEEE sensors journal |
container_volume | 11 |
creator | Lin, Yingzi |
description | Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will be called biosensors. There are two existing paradigms for biosensors: wearable sensor and noncontact sensor. A wearable sensor had potential to be intrusive, and noncontact sensor methods may still be intrusiveness to a certain extent, while a noncontact sensor is limited in its capability of acquiring physiological signals. The overall objective of this paper is to propose a new paradigm called "natural-contact biosensor" upon a comprehensive evaluation of the existing paradigms. In this paper, the problem dimension for this new paradigm is defined, technical challenges are identified, and technologies to cope with these challenges are presented. |
doi_str_mv | 10.1109/JSEN.2010.2041773 |
format | article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_5482079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5482079</ieee_id><sourcerecordid>861539460</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43</originalsourceid><addsrcrecordid>eNpdkU9P3DAQxSMEUmHpB6i4WFx6ytZe27F93K74sxVdEEul3qyJ4yxeJTbYCRLfvk4X9dDTzEi_96R5ryi-EDwnBKtvP7ZXm_kC53OBGRGCHhWnhHNZEsHk8bRTXDIqfn8qzlLaY0yU4OK0GJZoA8MYoUOr4AcwA9pan0JEDxChcbsetfnYBO_8EMfk3iwC36BHC1355Hr7F3d-h0KLvruQ3M5Dl5Dz6HbswZc_wTw7b9HaDzZmexd8Oi9O2gzZzx9zVvy6vnpa3ZZ39zfr1fKuNFThoVS1NKB427QtrkHWQhngwlDJFLG14sYwjqUUFadV09AKcN0ICZARyivL6Kz4evB9ieF1tGnQvUvGdh14G8akZZVjUazCmbz8j9yHMU6faMkEZVOKGSIHyMSQUrStfomuh_iuCdZTC3pqQU8t6I8WsubioHHW2n88Z3KBhaJ_ABkghBQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>847341748</pqid></control><display><type>article</type><title>A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Lin, Yingzi</creator><creatorcontrib>Lin, Yingzi</creatorcontrib><description>Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will be called biosensors. There are two existing paradigms for biosensors: wearable sensor and noncontact sensor. A wearable sensor had potential to be intrusive, and noncontact sensor methods may still be intrusiveness to a certain extent, while a noncontact sensor is limited in its capability of acquiring physiological signals. The overall objective of this paper is to propose a new paradigm called "natural-contact biosensor" upon a comprehensive evaluation of the existing paradigms. In this paper, the problem dimension for this new paradigm is defined, technical challenges are identified, and technologies to cope with these challenges are presented.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2010.2041773</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Biomedical monitoring ; Biosensor ; Biosensors ; Contact ; Control systems ; Human ; human-machine interaction ; Humans ; Intelligent sensors ; Interference constraints ; Man machine systems ; Management ; Mechanical sensors ; natural-contact ; nonintrusive ; physiological signals ; Real time ; Sensor phenomena and characterization ; Sensor systems ; Sensors ; Wearable ; Wearable sensors</subject><ispartof>IEEE sensors journal, 2011-03, Vol.11 (3), p.522-529</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43</citedby><cites>FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5482079$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,54795</link.rule.ids></links><search><creatorcontrib>Lin, Yingzi</creatorcontrib><title>A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will be called biosensors. There are two existing paradigms for biosensors: wearable sensor and noncontact sensor. A wearable sensor had potential to be intrusive, and noncontact sensor methods may still be intrusiveness to a certain extent, while a noncontact sensor is limited in its capability of acquiring physiological signals. The overall objective of this paper is to propose a new paradigm called "natural-contact biosensor" upon a comprehensive evaluation of the existing paradigms. In this paper, the problem dimension for this new paradigm is defined, technical challenges are identified, and technologies to cope with these challenges are presented.</description><subject>Biomedical monitoring</subject><subject>Biosensor</subject><subject>Biosensors</subject><subject>Contact</subject><subject>Control systems</subject><subject>Human</subject><subject>human-machine interaction</subject><subject>Humans</subject><subject>Intelligent sensors</subject><subject>Interference constraints</subject><subject>Man machine systems</subject><subject>Management</subject><subject>Mechanical sensors</subject><subject>natural-contact</subject><subject>nonintrusive</subject><subject>physiological signals</subject><subject>Real time</subject><subject>Sensor phenomena and characterization</subject><subject>Sensor systems</subject><subject>Sensors</subject><subject>Wearable</subject><subject>Wearable sensors</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkU9P3DAQxSMEUmHpB6i4WFx6ytZe27F93K74sxVdEEul3qyJ4yxeJTbYCRLfvk4X9dDTzEi_96R5ryi-EDwnBKtvP7ZXm_kC53OBGRGCHhWnhHNZEsHk8bRTXDIqfn8qzlLaY0yU4OK0GJZoA8MYoUOr4AcwA9pan0JEDxChcbsetfnYBO_8EMfk3iwC36BHC1355Hr7F3d-h0KLvruQ3M5Dl5Dz6HbswZc_wTw7b9HaDzZmexd8Oi9O2gzZzx9zVvy6vnpa3ZZ39zfr1fKuNFThoVS1NKB427QtrkHWQhngwlDJFLG14sYwjqUUFadV09AKcN0ICZARyivL6Kz4evB9ieF1tGnQvUvGdh14G8akZZVjUazCmbz8j9yHMU6faMkEZVOKGSIHyMSQUrStfomuh_iuCdZTC3pqQU8t6I8WsubioHHW2n88Z3KBhaJ_ABkghBQ</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Lin, Yingzi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20110301</creationdate><title>A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions</title><author>Lin, Yingzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biomedical monitoring</topic><topic>Biosensor</topic><topic>Biosensors</topic><topic>Contact</topic><topic>Control systems</topic><topic>Human</topic><topic>human-machine interaction</topic><topic>Humans</topic><topic>Intelligent sensors</topic><topic>Interference constraints</topic><topic>Man machine systems</topic><topic>Management</topic><topic>Mechanical sensors</topic><topic>natural-contact</topic><topic>nonintrusive</topic><topic>physiological signals</topic><topic>Real time</topic><topic>Sensor phenomena and characterization</topic><topic>Sensor systems</topic><topic>Sensors</topic><topic>Wearable</topic><topic>Wearable sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Yingzi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Yingzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2011-03-01</date><risdate>2011</risdate><volume>11</volume><issue>3</issue><spage>522</spage><epage>529</epage><pages>522-529</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will be called biosensors. There are two existing paradigms for biosensors: wearable sensor and noncontact sensor. A wearable sensor had potential to be intrusive, and noncontact sensor methods may still be intrusiveness to a certain extent, while a noncontact sensor is limited in its capability of acquiring physiological signals. The overall objective of this paper is to propose a new paradigm called "natural-contact biosensor" upon a comprehensive evaluation of the existing paradigms. In this paper, the problem dimension for this new paradigm is defined, technical challenges are identified, and technologies to cope with these challenges are presented.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2010.2041773</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1530-437X |
ispartof | IEEE sensors journal, 2011-03, Vol.11 (3), p.522-529 |
issn | 1530-437X 1558-1748 |
language | eng |
recordid | cdi_ieee_primary_5482079 |
source | IEEE Electronic Library (IEL) Journals |
subjects | Biomedical monitoring Biosensor Biosensors Contact Control systems Human human-machine interaction Humans Intelligent sensors Interference constraints Man machine systems Management Mechanical sensors natural-contact nonintrusive physiological signals Real time Sensor phenomena and characterization Sensor systems Sensors Wearable Wearable sensors |
title | A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T16%3A50%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Natural%20Contact%20Sensor%20Paradigm%20for%20Nonintrusive%20and%20Real-Time%20Sensing%20of%20Biosignals%20in%20Human-Machine%20Interactions&rft.jtitle=IEEE%20sensors%20journal&rft.au=Lin,%20Yingzi&rft.date=2011-03-01&rft.volume=11&rft.issue=3&rft.spage=522&rft.epage=529&rft.pages=522-529&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2010.2041773&rft_dat=%3Cproquest_ieee_%3E861539460%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c390t-9b8ca95fdff0ba8b79ca57c38491eb95cc4508876536dd36a0bd78aa7c3356e43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=847341748&rft_id=info:pmid/&rft_ieee_id=5482079&rfr_iscdi=true |