{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T04:18:53Z","timestamp":1763180333630,"version":"3.45.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031935046"},{"type":"electronic","value":"9783031935053"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93505-3_18","type":"book-chapter","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T01:15:04Z","timestamp":1748567704000},"page":"281-290","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Fall Risk Assessment Approach Using Gait Parameters from a Single RGB Camera: A Preliminary Study"],"prefix":"10.1007","author":[{"given":"Chenfeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Woojoo","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,25]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/9781108594455","volume-title":"Falls in Older People","author":"SR Lord","year":"2021","unstructured":"Lord, S.R., Sherrington, C., Naganathan, V.: Falls in Older People. Cambridge University Press (2021)"},{"key":"18_CR2","unstructured":"World Health Organization. Falls. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/falls. (2021). Accessed 17 July 2024"},{"issue":"1","key":"18_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40520-017-0749-0","volume":"30","author":"S-H Park","year":"2018","unstructured":"Park, S.-H.: Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clin. Exp. Res. 30(1), 1\u201316 (2018)","journal-title":"Aging Clin. Exp. Res."},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1016\/j.apergo.2016.10.013","volume":"65","author":"SD Choi","year":"2017","unstructured":"Choi, S.D., Guo, L., Kang, D., Xiong, S.: Exergame technology and interactive interventions for elderly fall prevention: a systematic literature review. Appl. Ergon. 65, 570\u2013581 (2017)","journal-title":"Appl. Ergon."},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Strini, V., Schiavolin, R., Prendin, A.: Fall risk assessment scales: a systematic literature review. Nurs. Rep. 11(2), 430\u2013443 (2021)","DOI":"10.3390\/nursrep11020041"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Subramaniam, S., Faisal, A.I., Deen, M.J.:  Wearable sensor systems for fall risk assessment: a review. Front. digital health 4, 921506 (2022)","DOI":"10.3389\/fdgth.2022.921506"},{"issue":"1","key":"18_CR7","doi-asserted-by":"publisher","first-page":"16349","DOI":"10.1038\/s41598-018-34671-6","volume":"8","author":"H Qiu","year":"2018","unstructured":"Qiu, H., Rehman, R.Z.U., Yu, X., Xiong, S.: Application of wearable inertial sensors and a new test battery for distinguishing retrospective fallers from non-fallers among community-dwelling older people. Sci. Rep. 8(1), 16349 (2018)","journal-title":"Sci. Rep."},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1109\/JBHI.2022.3215921","volume":"27","author":"M Ullrich","year":"2023","unstructured":"Ullrich, M., Roth, N., Kuderle, A., Richer, R., Gladow, T., Gasner, H., et al.: Fall risk prediction in Parkinson\u2019s disease using real-world inertial sensor gait data. IEEE J. Biomed. Health Inform. 27(1), 319\u2013328 (2023)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Rast, F.M., Herren, S., Labruy\u00e8re, R.: Acceptability of wearable inertial sensors, completeness of data, and day-to-day variability of everyday life motor activities in children and adolescents with neuromotor impairments. Front. Rehabil. Sci. 3, 923328 (2022)","DOI":"10.3389\/fresc.2022.923328"},{"issue":"6","key":"18_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s21061957","volume":"21","author":"A Dubois","year":"2021","unstructured":"Dubois, A., Bihl, T., Bresciani, J.P.: Identifying fall risk predictors by monitoring daily activities at home using a depth sensor coupled to machine learning algorithms. Sensors. 21(6), 1\u201310 (2021)","journal-title":"Sensors"},{"issue":"7","key":"18_CR11","doi-asserted-by":"publisher","first-page":"3599","DOI":"10.1109\/JBHI.2023.3267039","volume":"27","author":"V Adeli","year":"2023","unstructured":"Adeli, V., Korhani, N., Sabo, A., Mehdizadeh, S., Mansfield, A., Flint, A., et al.: Ambient monitoring of gait and machine learning models for dynamic and short-term falls risk assessment in people with dementia. IEEE J. Biomed. Health Inform. 27(7), 3599\u20133609 (2023)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Lachat, E., Macher, H., Landes, T., Grussenmeyer, P.: Assessment and calibration of a RGB-D camera (Kinect v2 Sensor) towards a potential use for close-range 3D modeling. Remote Sens. 7(10), 13070\u201313097 (2015)","DOI":"10.3390\/rs71013070"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.143"},{"issue":"6","key":"18_CR14","doi-asserted-by":"publisher","first-page":"7157","DOI":"10.1109\/TPAMI.2022.3222784","volume":"45","author":"HS Fang","year":"2023","unstructured":"Fang, H.S., Li, J., Tang, H., Xu, C., Zhu, H., Xiu, Y., Li, Y.L., Lu, C.: AlphaPose: whole-body regional multi-person pose estimation and tracking in real-time. IEEE Trans. Pattern Anal. Mach. Intell. 45(6), 7157\u20137173 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"18_CR15","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s10055-021-00551-0","volume":"26","author":"W Kim","year":"2022","unstructured":"Kim, W., Sung, J., Xiong, S.: Walking-in-place for omnidirectional VR locomotion using a single RGB camera. Virtual Reality. 26(1), 173\u2013186 (2022)","journal-title":"Virtual Reality"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Hern\u00e1ndez, \u00d3.G., Morell, V., Ramon, J.L., Jara, C.A. Human pose detection for robotic-assisted and rehabilitation environments. Appl. Sci. 11(9), 4183 (2021)","DOI":"10.3390\/app11094183"},{"issue":"1","key":"18_CR17","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1186\/s12891-020-03788-z","volume":"21","author":"N Kitcharanant","year":"2020","unstructured":"Kitcharanant, N., Vanitcharoenkul, E., Unnanuntana, A.: Validity and reliability of the self-rated fall risk questionnaire in older adults with osteoporosis. BMC Musculoskelet. Disord. 21(1), 757 (2020)","journal-title":"BMC Musculoskelet. Disord."},{"issue":"3","key":"18_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000467","volume":"3","author":"J Stenum","year":"2024","unstructured":"Stenum, J., Hsu, M.M., Pantelyat, A.Y., Roemmich, R.T.: Clinical gait analysis using video-based pose estimation: multiple perspectives, clinical populations, and measuring change. PLOS Digital Health. 3(3), e0000467 (2024)","journal-title":"PLOS Digital Health"},{"issue":"1","key":"18_CR19","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.gaitpost.2012.06.024","volume":"37","author":"ME Taylor","year":"2013","unstructured":"Taylor, M.E., Delbaere, K., Mikolaizak, A.S., Lord, S.R., Close, J.C.T.: Gait parameter risk factors for falls under simple and dual task conditions in cognitively impaired older people. Gait Posture. 37(1), 126\u2013130 (2013)","journal-title":"Gait Posture"},{"issue":"1","key":"18_CR20","doi-asserted-by":"publisher","first-page":"8813","DOI":"10.1038\/s41598-019-45113-2","volume":"9","author":"A Rodr\u00edguez-Molinero","year":"2019","unstructured":"Rodr\u00edguez-Molinero, A., Herrero-Larrea, A., Mi\u00f1arro, A., Narvaiza, L., G\u00e1lvez-Barr\u00f3n, C., Gonzalo Le\u00f3n, N., et al.: The spatial parameters of gait and their association with falls, functional decline and death in older adults: a prospective study. Sci. Rep. 9(1), 8813 (2019)","journal-title":"Sci. Rep."},{"issue":"5","key":"18_CR21","doi-asserted-by":"publisher","first-page":"2197","DOI":"10.1109\/JBHI.2022.3228598","volume":"27","author":"X Yu","year":"2023","unstructured":"Yu, X., Ma, T., Jang, J., Xiong, S.: Data augmentation to address various rotation errors of wearable sensors for robust pre-impact fall detection. IEEE J. Biomed. Health Inform. 27(5), 2197\u20132207 (2023)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Galambos, C., Rantz, M., Back, J., Jun, J.S., Skubic, M., Miller, S.J.: Older adults' perceptions of and preferences for a fall risk assessment system: exploring stages of acceptance model. CIN: Comput. Inf. Nurs. 35(7), 331\u2013337 (2017)","DOI":"10.1097\/CIN.0000000000000330"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Xu, T., An, D., Jia, Y., Yue, Y.: A review: point cloud-based 3d human joints estimation. Sensors 21(5), 1684 (2021)","DOI":"10.3390\/s21051684"},{"issue":"11","key":"18_CR24","doi-asserted-by":"publisher","first-page":"12533","DOI":"10.1109\/TII.2024.3421511","volume":"20","author":"G Lan","year":"2024","unstructured":"Lan, G., Wu, Y., Hao, Q.: DIR-BHRNet: a lightweight network for real-time vision-based multiperson pose estimation on smartphones. IEEE Trans. Industr. Inform. 20(11), 12533\u201312541 (2024)","journal-title":"IEEE Trans. Industr. Inform."}],"container-title":["Lecture Notes in Computer Science","Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93505-3_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T04:16:19Z","timestamp":1763180179000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93505-3_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031935046","9783031935053"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93505-3_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}