Loading…
Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights
Acrophobia (fear of heights), a prevalent psychological disorder, elicits profound fear and evokes a range of adverse physiological responses in individuals when exposed to heights, which will lead to a very dangerous state for people in actual heights. In this paper, we explore the behavioral influ...
Saved in:
Published in: | Sensors (Basel, Switzerland) Switzerland), 2023-06, Vol.23 (12), p.5482 |
---|---|
Main Authors: | , , , , , , |
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-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3 |
---|---|
cites | cdi_FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3 |
container_end_page | |
container_issue | 12 |
container_start_page | 5482 |
container_title | Sensors (Basel, Switzerland) |
container_volume | 23 |
creator | Cheng, Xiankai Bao, Benkun Cui, Weidong Liu, Shuai Zhong, Jun Cai, Liming Yang, Hongbo |
description | Acrophobia (fear of heights), a prevalent psychological disorder, elicits profound fear and evokes a range of adverse physiological responses in individuals when exposed to heights, which will lead to a very dangerous state for people in actual heights. In this paper, we explore the behavioral influences in terms of movements in people confronted with virtual reality scenes of extreme heights and develop an acrophobia classification model based on human movement characteristics. To this end, we used wireless miniaturized inertial navigation sensors (WMINS) network to obtain the information of limb movements in the virtual environment. Based on these data, we constructed a series of data feature processing processes, proposed a system model for the classification of acrophobia and non-acrophobia based on human motion feature analysis, and realized the classification recognition of acrophobia and non-acrophobia through the designed integrated learning model. The final accuracy of acrophobia dichotomous classification based on limb motion information reached 94.64%, which has higher accuracy and efficiency compared with other existing research models. Overall, our study demonstrates a strong correlation between people's mental state during fear of heights and their limb movements at that time. |
doi_str_mv | 10.3390/s23125482 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_e6575a9930444cf29fd6ca32a3c95733</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A758482894</galeid><doaj_id>oai_doaj_org_article_e6575a9930444cf29fd6ca32a3c95733</doaj_id><sourcerecordid>A758482894</sourcerecordid><originalsourceid>FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3</originalsourceid><addsrcrecordid>eNpdUk1vEzEQXSEQbQMH_gCyxAUOKV5_rNcnFCKgkYqQ-Lpas147cbRrB9tblL_QX41DStRiHzwav3nj53lV9aLGl5RK_DYRWhPOWvKoOq8ZYfOWEPz4XnxWXaS0xZhQStun1RkVjOCGk_PqdjlASs46DdkFj8D3aOFh2CeXULDoahrBo_eh36PP4caMxme03EAEnU10KTud0CKloB1k06PfLm_QQsew24TOAVr5ftIl3-3RTxfzBAP6amBweY--aePNsYdx601Oz6onFoZknt-ds-rHxw_fl1fz6y-fVsvF9VxzLPOc9BZTXRbtu1aCga6mHHccDNEdl7LWljcCwDCKraSCN43WltWgaysk03RWrY68fYCt2kU3QtyrAE79TYS4VhCLsMEo03DBQUqKGWPaEmn7RgMlQLXkonzmrHp35NpN3Wj6IilHGB6QPrzxbqPW4UbVmGKOSVMYXt8xxPBrMimr0SVthgG8CVNSpKWciLaldYG--g-6DVMswzqgiGyFkOJAeHlEraEocN6G0liX3ZvR6eCNdSW_ELwthmklKwVvjgVlbClFY0_Pr7E6-Eud_FWwL-_rPSH_GYr-Afb_zGQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829877976</pqid></control><display><type>article</type><title>Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights</title><source>Open Access: PubMed Central</source><source>Publicly Available Content (ProQuest)</source><creator>Cheng, Xiankai ; Bao, Benkun ; Cui, Weidong ; Liu, Shuai ; Zhong, Jun ; Cai, Liming ; Yang, Hongbo</creator><creatorcontrib>Cheng, Xiankai ; Bao, Benkun ; Cui, Weidong ; Liu, Shuai ; Zhong, Jun ; Cai, Liming ; Yang, Hongbo</creatorcontrib><description>Acrophobia (fear of heights), a prevalent psychological disorder, elicits profound fear and evokes a range of adverse physiological responses in individuals when exposed to heights, which will lead to a very dangerous state for people in actual heights. In this paper, we explore the behavioral influences in terms of movements in people confronted with virtual reality scenes of extreme heights and develop an acrophobia classification model based on human movement characteristics. To this end, we used wireless miniaturized inertial navigation sensors (WMINS) network to obtain the information of limb movements in the virtual environment. Based on these data, we constructed a series of data feature processing processes, proposed a system model for the classification of acrophobia and non-acrophobia based on human motion feature analysis, and realized the classification recognition of acrophobia and non-acrophobia through the designed integrated learning model. The final accuracy of acrophobia dichotomous classification based on limb motion information reached 94.64%, which has higher accuracy and efficiency compared with other existing research models. Overall, our study demonstrates a strong correlation between people's mental state during fear of heights and their limb movements at that time.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s23125482</identifier><identifier>PMID: 37420652</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>acrophobia ; Altitude ; Analysis ; Behavior modification ; body movement ; Classification ; Data transmission ; Fear ; Fear & phobias ; Human body ; Human mechanics ; Human motion ; Inertial navigation ; Inertial navigation (Aeronautics) ; machine learning ; Mental disorders ; Model accuracy ; Physiological responses ; sensor network ; Sensors ; Virtual environments ; Virtual reality ; Walking ; Wrist</subject><ispartof>Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5482</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3</citedby><cites>FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2829877976/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2829877976?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37420652$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheng, Xiankai</creatorcontrib><creatorcontrib>Bao, Benkun</creatorcontrib><creatorcontrib>Cui, Weidong</creatorcontrib><creatorcontrib>Liu, Shuai</creatorcontrib><creatorcontrib>Zhong, Jun</creatorcontrib><creatorcontrib>Cai, Liming</creatorcontrib><creatorcontrib>Yang, Hongbo</creatorcontrib><title>Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><description>Acrophobia (fear of heights), a prevalent psychological disorder, elicits profound fear and evokes a range of adverse physiological responses in individuals when exposed to heights, which will lead to a very dangerous state for people in actual heights. In this paper, we explore the behavioral influences in terms of movements in people confronted with virtual reality scenes of extreme heights and develop an acrophobia classification model based on human movement characteristics. To this end, we used wireless miniaturized inertial navigation sensors (WMINS) network to obtain the information of limb movements in the virtual environment. Based on these data, we constructed a series of data feature processing processes, proposed a system model for the classification of acrophobia and non-acrophobia based on human motion feature analysis, and realized the classification recognition of acrophobia and non-acrophobia through the designed integrated learning model. The final accuracy of acrophobia dichotomous classification based on limb motion information reached 94.64%, which has higher accuracy and efficiency compared with other existing research models. Overall, our study demonstrates a strong correlation between people's mental state during fear of heights and their limb movements at that time.</description><subject>acrophobia</subject><subject>Altitude</subject><subject>Analysis</subject><subject>Behavior modification</subject><subject>body movement</subject><subject>Classification</subject><subject>Data transmission</subject><subject>Fear</subject><subject>Fear & phobias</subject><subject>Human body</subject><subject>Human mechanics</subject><subject>Human motion</subject><subject>Inertial navigation</subject><subject>Inertial navigation (Aeronautics)</subject><subject>machine learning</subject><subject>Mental disorders</subject><subject>Model accuracy</subject><subject>Physiological responses</subject><subject>sensor network</subject><subject>Sensors</subject><subject>Virtual environments</subject><subject>Virtual reality</subject><subject>Walking</subject><subject>Wrist</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdUk1vEzEQXSEQbQMH_gCyxAUOKV5_rNcnFCKgkYqQ-Lpas147cbRrB9tblL_QX41DStRiHzwav3nj53lV9aLGl5RK_DYRWhPOWvKoOq8ZYfOWEPz4XnxWXaS0xZhQStun1RkVjOCGk_PqdjlASs46DdkFj8D3aOFh2CeXULDoahrBo_eh36PP4caMxme03EAEnU10KTud0CKloB1k06PfLm_QQsew24TOAVr5ftIl3-3RTxfzBAP6amBweY--aePNsYdx601Oz6onFoZknt-ds-rHxw_fl1fz6y-fVsvF9VxzLPOc9BZTXRbtu1aCga6mHHccDNEdl7LWljcCwDCKraSCN43WltWgaysk03RWrY68fYCt2kU3QtyrAE79TYS4VhCLsMEo03DBQUqKGWPaEmn7RgMlQLXkonzmrHp35NpN3Wj6IilHGB6QPrzxbqPW4UbVmGKOSVMYXt8xxPBrMimr0SVthgG8CVNSpKWciLaldYG--g-6DVMswzqgiGyFkOJAeHlEraEocN6G0liX3ZvR6eCNdSW_ELwthmklKwVvjgVlbClFY0_Pr7E6-Eud_FWwL-_rPSH_GYr-Afb_zGQ</recordid><startdate>20230610</startdate><enddate>20230610</enddate><creator>Cheng, Xiankai</creator><creator>Bao, Benkun</creator><creator>Cui, Weidong</creator><creator>Liu, Shuai</creator><creator>Zhong, Jun</creator><creator>Cai, Liming</creator><creator>Yang, Hongbo</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20230610</creationdate><title>Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights</title><author>Cheng, Xiankai ; Bao, Benkun ; Cui, Weidong ; Liu, Shuai ; Zhong, Jun ; Cai, Liming ; Yang, Hongbo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>acrophobia</topic><topic>Altitude</topic><topic>Analysis</topic><topic>Behavior modification</topic><topic>body movement</topic><topic>Classification</topic><topic>Data transmission</topic><topic>Fear</topic><topic>Fear & phobias</topic><topic>Human body</topic><topic>Human mechanics</topic><topic>Human motion</topic><topic>Inertial navigation</topic><topic>Inertial navigation (Aeronautics)</topic><topic>machine learning</topic><topic>Mental disorders</topic><topic>Model accuracy</topic><topic>Physiological responses</topic><topic>sensor network</topic><topic>Sensors</topic><topic>Virtual environments</topic><topic>Virtual reality</topic><topic>Walking</topic><topic>Wrist</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Xiankai</creatorcontrib><creatorcontrib>Bao, Benkun</creatorcontrib><creatorcontrib>Cui, Weidong</creatorcontrib><creatorcontrib>Liu, Shuai</creatorcontrib><creatorcontrib>Zhong, Jun</creatorcontrib><creatorcontrib>Cai, Liming</creatorcontrib><creatorcontrib>Yang, Hongbo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Xiankai</au><au>Bao, Benkun</au><au>Cui, Weidong</au><au>Liu, Shuai</au><au>Zhong, Jun</au><au>Cai, Liming</au><au>Yang, Hongbo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2023-06-10</date><risdate>2023</risdate><volume>23</volume><issue>12</issue><spage>5482</spage><pages>5482-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>Acrophobia (fear of heights), a prevalent psychological disorder, elicits profound fear and evokes a range of adverse physiological responses in individuals when exposed to heights, which will lead to a very dangerous state for people in actual heights. In this paper, we explore the behavioral influences in terms of movements in people confronted with virtual reality scenes of extreme heights and develop an acrophobia classification model based on human movement characteristics. To this end, we used wireless miniaturized inertial navigation sensors (WMINS) network to obtain the information of limb movements in the virtual environment. Based on these data, we constructed a series of data feature processing processes, proposed a system model for the classification of acrophobia and non-acrophobia based on human motion feature analysis, and realized the classification recognition of acrophobia and non-acrophobia through the designed integrated learning model. The final accuracy of acrophobia dichotomous classification based on limb motion information reached 94.64%, which has higher accuracy and efficiency compared with other existing research models. Overall, our study demonstrates a strong correlation between people's mental state during fear of heights and their limb movements at that time.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37420652</pmid><doi>10.3390/s23125482</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1424-8220 |
ispartof | Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5482 |
issn | 1424-8220 1424-8220 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_e6575a9930444cf29fd6ca32a3c95733 |
source | Open Access: PubMed Central; Publicly Available Content (ProQuest) |
subjects | acrophobia Altitude Analysis Behavior modification body movement Classification Data transmission Fear Fear & phobias Human body Human mechanics Human motion Inertial navigation Inertial navigation (Aeronautics) machine learning Mental disorders Model accuracy Physiological responses sensor network Sensors Virtual environments Virtual reality Walking Wrist |
title | Classification and Analysis of Human Body Movement Characteristics Associated with Acrophobia Induced by Virtual Reality Scenes of Heights |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T23%3A45%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Classification%20and%20Analysis%20of%20Human%20Body%20Movement%20Characteristics%20Associated%20with%20Acrophobia%20Induced%20by%20Virtual%20Reality%20Scenes%20of%20Heights&rft.jtitle=Sensors%20(Basel,%20Switzerland)&rft.au=Cheng,%20Xiankai&rft.date=2023-06-10&rft.volume=23&rft.issue=12&rft.spage=5482&rft.pages=5482-&rft.issn=1424-8220&rft.eissn=1424-8220&rft_id=info:doi/10.3390/s23125482&rft_dat=%3Cgale_doaj_%3EA758482894%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c509t-2df03cccc3db89aeab1350b5ae2cb5991cf567aae430f937566ccf41ac1f794c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2829877976&rft_id=info:pmid/37420652&rft_galeid=A758482894&rfr_iscdi=true |