Gait identity identification method based on mobile phone acceleration sensor and system thereof
The invention discloses a gait identity identification method based on a mobile phone acceleration sensor and a system thereof. The method comprises the following steps of using a mobile phone acceleration sensor to collect gait data of a person to be measured in a section of journey; preprocessing...
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| creator | YAN JIASI WANG YANG ZHAN ENQI ZHENG JIANBIN |
| description | The invention discloses a gait identity identification method based on a mobile phone acceleration sensor and a system thereof. The method comprises the following steps of using a mobile phone acceleration sensor to collect gait data of a person to be measured in a section of journey; preprocessing the acquired gait data, carrying out linearity interpolation and filtering on triaxial acceleration signals x, y and z, and then synthesizing a resultant accelerated speed; carrying out period segmentation on a synthesized resultant accelerated speed sequence, using a DTW algorithm to filter a period, and filtering a disqualification period and acquiring a qualified period; extracting time domain and frequency domain characteristics from the qualified period, wherein the time domain characteristic includes 8 characteristics of an z-axis-direction average maximum acceleration speed, an average minimum acceleration speed, an average acceleration speed, a root mean square, a standard deviation, a peak value factor, ku |
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The method comprises the following steps of using a mobile phone acceleration sensor to collect gait data of a person to be measured in a section of journey; preprocessing the acquired gait data, carrying out linearity interpolation and filtering on triaxial acceleration signals x, y and z, and then synthesizing a resultant accelerated speed; carrying out period segmentation on a synthesized resultant accelerated speed sequence, using a DTW algorithm to filter a period, and filtering a disqualification period and acquiring a qualified period; extracting time domain and frequency domain characteristics from the qualified period, wherein the time domain characteristic includes 8 characteristics of an z-axis-direction average maximum acceleration speed, an average minimum acceleration speed, an average acceleration speed, a root mean square, a standard deviation, a peak value factor, ku</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170829&DB=EPODOC&CC=CN&NR=107103297A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170829&DB=EPODOC&CC=CN&NR=107103297A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YAN JIASI</creatorcontrib><creatorcontrib>WANG YANG</creatorcontrib><creatorcontrib>ZHAN ENQI</creatorcontrib><creatorcontrib>ZHENG JIANBIN</creatorcontrib><title>Gait identity identification method based on mobile phone acceleration sensor and system thereof</title><description>The invention discloses a gait identity identification method based on a mobile phone acceleration sensor and a system thereof. 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The method comprises the following steps of using a mobile phone acceleration sensor to collect gait data of a person to be measured in a section of journey; preprocessing the acquired gait data, carrying out linearity interpolation and filtering on triaxial acceleration signals x, y and z, and then synthesizing a resultant accelerated speed; carrying out period segmentation on a synthesized resultant accelerated speed sequence, using a DTW algorithm to filter a period, and filtering a disqualification period and acquiring a qualified period; extracting time domain and frequency domain characteristics from the qualified period, wherein the time domain characteristic includes 8 characteristics of an z-axis-direction average maximum acceleration speed, an average minimum acceleration speed, an average acceleration speed, a root mean square, a standard deviation, a peak value factor, ku</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Gait identity identification method based on mobile phone acceleration sensor and system thereof |
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