A Radar Sensor for Automatic Gait Speed Analysis in Walking Tests
Walking tests can provide an indicator of balance and fragility of people. They measure the gait speed and compare it to reference values related to various pathologies. We propose a radar sensor system that allows the evaluation of the gait speed in these tests in an automatic manner. The proposed...
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Veröffentlicht in: | IEEE sensors journal 2021-06, Vol.21 (12), p.13886-13894 |
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description | Walking tests can provide an indicator of balance and fragility of people. They measure the gait speed and compare it to reference values related to various pathologies. We propose a radar sensor system that allows the evaluation of the gait speed in these tests in an automatic manner. The proposed approach consists of three phases; a first phase where the system automatically distinguishes the three sections of the test, namely walk #1, turn, and walk #2. Then, a second phase where the obtained signal is processed to evaluate the gait speed of the person. This is done through time-frequency analysis of the radar signal. In order to deal with the non-stationary nature of the radar signals, we consider the short-time Fourier transfer in our time-frequency analysis. The third phase consists in segmenting each walk into three segments, namely an acceleration zone, a measured-gait zone, and a deceleration zone. We provide a segmentation of the walking in order to automatically distinguish these zones. The proposed approach is validated using a Vicon motion-capture system, with a mean RMSE equal to 0.076 m/s. As compared to traditional techniques, our proposed system is automatic and does not require acceleration and deceleration zones. |
doi_str_mv | 10.1109/JSEN.2021.3070682 |
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They measure the gait speed and compare it to reference values related to various pathologies. We propose a radar sensor system that allows the evaluation of the gait speed in these tests in an automatic manner. The proposed approach consists of three phases; a first phase where the system automatically distinguishes the three sections of the test, namely walk #1, turn, and walk #2. Then, a second phase where the obtained signal is processed to evaluate the gait speed of the person. This is done through time-frequency analysis of the radar signal. In order to deal with the non-stationary nature of the radar signals, we consider the short-time Fourier transfer in our time-frequency analysis. The third phase consists in segmenting each walk into three segments, namely an acceleration zone, a measured-gait zone, and a deceleration zone. We provide a segmentation of the walking in order to automatically distinguish these zones. The proposed approach is validated using a Vicon motion-capture system, with a mean RMSE equal to 0.076 m/s. As compared to traditional techniques, our proposed system is automatic and does not require acceleration and deceleration zones.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2021.3070682</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acceleration ; Computer Science ; Deceleration ; Evaluation ; Fragility ; Gait ; gait speed analysis ; Hospitals ; Legged locomotion ; Motion capture ; Motion segmentation ; Pathology ; Phase measurement ; Radar ; radar sensor ; repeatability ; Segmentation ; Signal processing ; Time-frequency analysis ; Walking ; Walking tests</subject><ispartof>IEEE sensors journal, 2021-06, Vol.21 (12), p.13886-13894</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-853188478c81ecc5e885fc2fb91d77f48efe7d5d12ce5b7c31876c45e5f5fb173</citedby><cites>FETCH-LOGICAL-c395t-853188478c81ecc5e885fc2fb91d77f48efe7d5d12ce5b7c31876c45e5f5fb173</cites><orcidid>0000-0003-3116-5652 ; 0000-0002-9927-8031</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9393969$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9393969$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal-lirmm.ccsd.cnrs.fr/lirmm-03473216$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Alshamaa, Daniel</creatorcontrib><creatorcontrib>Soubra, Racha</creatorcontrib><creatorcontrib>Chkeir, Aly</creatorcontrib><title>A Radar Sensor for Automatic Gait Speed Analysis in Walking Tests</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Walking tests can provide an indicator of balance and fragility of people. They measure the gait speed and compare it to reference values related to various pathologies. We propose a radar sensor system that allows the evaluation of the gait speed in these tests in an automatic manner. The proposed approach consists of three phases; a first phase where the system automatically distinguishes the three sections of the test, namely walk #1, turn, and walk #2. Then, a second phase where the obtained signal is processed to evaluate the gait speed of the person. This is done through time-frequency analysis of the radar signal. In order to deal with the non-stationary nature of the radar signals, we consider the short-time Fourier transfer in our time-frequency analysis. The third phase consists in segmenting each walk into three segments, namely an acceleration zone, a measured-gait zone, and a deceleration zone. We provide a segmentation of the walking in order to automatically distinguish these zones. The proposed approach is validated using a Vicon motion-capture system, with a mean RMSE equal to 0.076 m/s. As compared to traditional techniques, our proposed system is automatic and does not require acceleration and deceleration zones.</description><subject>Acceleration</subject><subject>Computer Science</subject><subject>Deceleration</subject><subject>Evaluation</subject><subject>Fragility</subject><subject>Gait</subject><subject>gait speed analysis</subject><subject>Hospitals</subject><subject>Legged locomotion</subject><subject>Motion capture</subject><subject>Motion segmentation</subject><subject>Pathology</subject><subject>Phase measurement</subject><subject>Radar</subject><subject>radar sensor</subject><subject>repeatability</subject><subject>Segmentation</subject><subject>Signal processing</subject><subject>Time-frequency analysis</subject><subject>Walking</subject><subject>Walking tests</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE9LAzEQxRdRsFY_gHgJeJStmWSzyR6Xoq1SFGxFbyHNJpq6f2qyFfrt3WVLGYaZw-89Zl4UXQOeAODs_nn58DIhmMCEYo5TQU6iETAmYuCJOO13iuOE8s_z6CKEDcaQccZHUZ6jN1Uoj5amDo1Htut81zaVap1GM-VatNwaU6C8VuU-uIBcjT5U-ePqL7QyoQ2X0ZlVZTBXhzmO3h8fVtN5vHidPU3zRaxpxtpYMApCJFxoAUZrZoRgVhO7zqDg3CbCWMMLVgDRhq257mie6oQZZpldA6fj6G7w_Val3HpXKb-XjXJyni9k6XxVSUwTTgmkf9DRtwO99c3vrrtTbpqd734IkrAEkjQTgnQUDJT2TQje2KMxYNnnKvtcZZ-rPOTaaW4GjTPGHPmMdpVm9B_DcHHk</recordid><startdate>20210615</startdate><enddate>20210615</enddate><creator>Alshamaa, Daniel</creator><creator>Soubra, Racha</creator><creator>Chkeir, Aly</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>Institute of Electrical and Electronics Engineers</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>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-3116-5652</orcidid><orcidid>https://orcid.org/0000-0002-9927-8031</orcidid></search><sort><creationdate>20210615</creationdate><title>A Radar Sensor for Automatic Gait Speed Analysis in Walking Tests</title><author>Alshamaa, Daniel ; Soubra, Racha ; Chkeir, Aly</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-853188478c81ecc5e885fc2fb91d77f48efe7d5d12ce5b7c31876c45e5f5fb173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acceleration</topic><topic>Computer Science</topic><topic>Deceleration</topic><topic>Evaluation</topic><topic>Fragility</topic><topic>Gait</topic><topic>gait speed analysis</topic><topic>Hospitals</topic><topic>Legged locomotion</topic><topic>Motion capture</topic><topic>Motion segmentation</topic><topic>Pathology</topic><topic>Phase measurement</topic><topic>Radar</topic><topic>radar sensor</topic><topic>repeatability</topic><topic>Segmentation</topic><topic>Signal processing</topic><topic>Time-frequency analysis</topic><topic>Walking</topic><topic>Walking tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alshamaa, Daniel</creatorcontrib><creatorcontrib>Soubra, Racha</creatorcontrib><creatorcontrib>Chkeir, Aly</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alshamaa, Daniel</au><au>Soubra, Racha</au><au>Chkeir, Aly</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Radar Sensor for Automatic Gait Speed Analysis in Walking Tests</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2021-06-15</date><risdate>2021</risdate><volume>21</volume><issue>12</issue><spage>13886</spage><epage>13894</epage><pages>13886-13894</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Walking tests can provide an indicator of balance and fragility of people. They measure the gait speed and compare it to reference values related to various pathologies. We propose a radar sensor system that allows the evaluation of the gait speed in these tests in an automatic manner. The proposed approach consists of three phases; a first phase where the system automatically distinguishes the three sections of the test, namely walk #1, turn, and walk #2. Then, a second phase where the obtained signal is processed to evaluate the gait speed of the person. This is done through time-frequency analysis of the radar signal. In order to deal with the non-stationary nature of the radar signals, we consider the short-time Fourier transfer in our time-frequency analysis. The third phase consists in segmenting each walk into three segments, namely an acceleration zone, a measured-gait zone, and a deceleration zone. We provide a segmentation of the walking in order to automatically distinguish these zones. 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subjects | Acceleration Computer Science Deceleration Evaluation Fragility Gait gait speed analysis Hospitals Legged locomotion Motion capture Motion segmentation Pathology Phase measurement Radar radar sensor repeatability Segmentation Signal processing Time-frequency analysis Walking Walking tests |
title | A Radar Sensor for Automatic Gait Speed Analysis in Walking Tests |
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