{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T01:44:48Z","timestamp":1775267088110,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030038007","type":"print"},{"value":"9783030038014","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-03801-4_48","type":"book-chapter","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T07:40:49Z","timestamp":1541749249000},"page":"552-564","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Patient\u2019s Body Motion Study Using Multimodal RGBDT Videos"],"prefix":"10.1007","author":[{"given":"Mohammad A.","family":"Haque","sequence":"first","affiliation":[]},{"given":"Simon S.","family":"Kjeldsen","sequence":"additional","affiliation":[]},{"given":"Federico G.","family":"Arguissain","sequence":"additional","affiliation":[]},{"given":"Iris","family":"Brunner","sequence":"additional","affiliation":[]},{"given":"Kamal","family":"Nasrollahi","sequence":"additional","affiliation":[]},{"given":"Ole K\u00e6seler","family":"Andersen","sequence":"additional","affiliation":[]},{"given":"J\u00f8rgen F.","family":"Nielsen","sequence":"additional","affiliation":[]},{"given":"Thomas B.","family":"Moeslund","sequence":"additional","affiliation":[]},{"given":"Anders","family":"J\u00f8rgensen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,10]]},"reference":[{"key":"48_CR1","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1136\/jech-2011-200505","volume":"66","author":"M Hamer","year":"2012","unstructured":"Hamer, M., Kivimaki, M., Steptoe, A.: Longitudinal patterns in physical activity and sedentary behaviour from mid-life to early old age: a substudy of the Whitehall II cohort. J. Epidemiol. Community Health 66, 1110\u20131115 (2012)","journal-title":"J. Epidemiol. Community Health"},{"key":"48_CR2","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1159\/000222244","volume":"2","author":"R Telama","year":"2009","unstructured":"Telama, R.: Tracking of physical activity from childhood to adulthood: a review. Obes Facts 2, 187\u2013195 (2009)","journal-title":"Obes Facts"},{"key":"48_CR3","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.apmr.2008.10.024","volume":"90","author":"JB Talkowski","year":"2009","unstructured":"Talkowski, J.B., Lenze, E.J., Munin, M.C., Harrison, C., Brach, J.S.: Patient participation and physical activity during rehabilitation and future functional outcomes in patients after hip fracture. Arch. Phys. Med. Rehabil. 90, 618\u2013622 (2009)","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Sathyanarayana, S., Satzoda, R.K., Sathyanarayana, S., Thambipillai, S.: Vision-based patient monitoring: a comprehensive review of algorithms and technologies. J. Ambient. Intell. Hum. Comput. (2015)","DOI":"10.1007\/s12652-015-0328-1"},{"key":"48_CR5","series-title":"SpringerBriefs in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27024-1","volume-title":"Distributed Computing and Monitoring Technologies for Older Patients","author":"J Klonovs","year":"2016","unstructured":"Klonovs, J., et al.: Distributed Computing and Monitoring Technologies for Older Patients. SCS. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-27024-1"},{"key":"48_CR6","first-page":"197","volume":"19","author":"S Gluck","year":"2017","unstructured":"Gluck, S., Chapple, L.S., Chapman, M.J., Iwashyna, T.J., Deane, A.M.: A scoping review of use of wearable devices to evaluate outcomes in survivors of critical illness. Crit. Care Resusc. 19, 197\u2013204 (2017)","journal-title":"Crit. Care Resusc."},{"key":"48_CR7","doi-asserted-by":"publisher","first-page":"1514","DOI":"10.1378\/chest.10-1872","volume":"139","author":"JL Martin","year":"2011","unstructured":"Martin, J.L., Hakim, A.D.: Wrist actigraphy. Chest 139, 1514\u20131527 (2011)","journal-title":"Chest"},{"key":"48_CR8","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.smrv.2010.10.001","volume":"15","author":"A Sadeh","year":"2011","unstructured":"Sadeh, A.: The role and validity of actigraphy in sleep medicine: an update. Sleep Med. Rev. 15, 259\u2013267 (2011)","journal-title":"Sleep Med. Rev."},{"key":"48_CR9","doi-asserted-by":"publisher","first-page":"2076","DOI":"10.1007\/s00134-008-1180-y","volume":"34","author":"JM Beecroft","year":"2008","unstructured":"Beecroft, J.M., Ward, M., Younes, M., Crombach, S., Smith, O., Hanly, P.J.: Sleep monitoring in the intensive care unit: comparison of nurse assessment, actigraphy and polysomnography. Intensive Care Med. 34, 2076\u20132083 (2008)","journal-title":"Intensive Care Med."},{"key":"48_CR10","doi-asserted-by":"publisher","first-page":"329","DOI":"10.4037\/ajcc2017660","volume":"26","author":"BB Kamdar","year":"2017","unstructured":"Kamdar, B.B., et al.: Feasibility of continuous actigraphy in patients in a medical intensive care unit. Am. J. Crit. Care 26, 329\u2013335 (2017)","journal-title":"Am. J. Crit. Care"},{"key":"48_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/0967-3334\/35\/1\/R1","volume":"35","author":"A Roebuck","year":"2014","unstructured":"Roebuck, A., et al.: A review of signals used in sleep analysis. Physiol. Meas. 35, 1\u201357 (2014)","journal-title":"Physiol. Meas."},{"issue":"1","key":"48_CR12","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.cviu.2006.10.016","volume":"108","author":"R Poppe","year":"2007","unstructured":"Poppe, R.: Vision-based human motion analysis: an overview. Comput. Vis. Image Underst. 108(1), 4\u201318 (2007). Special Issue on Vision for Human-Computer Interaction","journal-title":"Comput. Vis. Image Underst."},{"key":"48_CR13","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/JBHI.2013.2282829","volume":"18","author":"A Heinrich","year":"2014","unstructured":"Heinrich, A., Geng, D., Znamenskiy, D., Vink, J.P., de Haan, G.: Robust and sensitive video motion detection for sleep analysis. IEEE J. Biomed. Health Inform. 18, 790\u2013798 (2014)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"4","key":"48_CR14","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.irbm.2017.05.003","volume":"38","author":"S Cabon","year":"2017","unstructured":"Cabon, S., et al.: Motion estimation and characterization in premature newborns using long duration video recordings. IRBM 38(4), 207\u2013213 (2017)","journal-title":"IRBM"},{"key":"48_CR15","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s12652-014-0247-6","volume":"6","author":"A Heinrich","year":"2015","unstructured":"Heinrich, A., van Heesch, F., Puvvula, B., Rocque, M.: Video based actigraphy and breathing monitoring from the bedside table of shared beds. J. Ambient. Intell. Hum. Comput. 6, 107\u2013120 (2015)","journal-title":"J. Ambient. Intell. Hum. Comput."},{"key":"48_CR16","doi-asserted-by":"crossref","unstructured":"Ilyas, C., Nasrollahi, K., Moeslund, T., Rehm, M., Haque, M.: Facial expression recognition for traumatic brain injured patients, vol. 4, 1. SCITEPRESS Digital Library (2018)","DOI":"10.5220\/0006721305220530"},{"key":"48_CR17","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1177\/1545968313517756","volume":"28","author":"C Duclos","year":"2014","unstructured":"Duclos, C., et al.: Rest-activity cycle disturbances in the acute phase of moderate to severe traumatic brain injury. Neurorehabil. Neural Repair 28, 472\u2013482 (2014)","journal-title":"Neurorehabil. Neural Repair"},{"key":"48_CR18","doi-asserted-by":"crossref","unstructured":"Haque, M.A., Nasrollahi, K., Moeslund, T.B.: Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera. In: 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 443\u2013448, August 2013","DOI":"10.1109\/AVSS.2013.6636680"},{"key":"48_CR19","doi-asserted-by":"crossref","unstructured":"Haque, M.A., et al.: Deep multimodal pain recognition: a database and comparison of spatio-temporal visual modalities. In: 2018 13th IEEE International Conference on Automatic Face Gesture Recognition (FG 2018), pp. 250\u2013257, May 2018","DOI":"10.1109\/FG.2018.00044"},{"key":"48_CR20","unstructured":"Bouguet, J.: Pyramidal implementation of the Lucas Kanade feature tracker. Intel Corporation, Microprocessor Research Labs (2000)"},{"key":"48_CR21","doi-asserted-by":"crossref","unstructured":"Shi, J., Tomasi, C.: Good features to track. In: 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593\u2013600, June 1994","DOI":"10.1109\/CVPR.1994.323794"},{"key":"48_CR22","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1023\/B:VISI.0000011205.11775.fd","volume":"56","author":"S Baker","year":"2004","unstructured":"Baker, S., Matthews, I.: Lucas-Kanade 20 years on: a unifying framework. Int. J. Comput. Vis. 56, 221\u2013255 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"48_CR23","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MIS.2016.20","volume":"31","author":"MA Haque","year":"2016","unstructured":"Haque, M.A., Irani, R., Nasrollahi, K., Moeslund, T.B.: Heartbeat rate measurement from facial video. IEEE Intell. Syst. 31, 40\u201348 (2016)","journal-title":"IEEE Intell. Syst."},{"issue":"4","key":"48_CR24","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1049\/iet-cvi.2015.0215","volume":"10","author":"MA Haque","year":"2016","unstructured":"Haque, M.A., Irani, R., Nasrollahi, K., Moeslund, T.B.: Facial video-based detection of physical fatigue for maximal muscle activity. IET Comput. Vis. 10(4), 323\u2013329 (2016)","journal-title":"IET Comput. Vis."},{"key":"48_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/978-3-319-19665-7_14","volume-title":"Image Analysis","author":"MA Haque","year":"2015","unstructured":"Haque, M.A., Nasrollahi, K., Moeslund, T.B.: Heartbeat signal from facial video for biometric recognition. In: Paulsen, R.R., Pedersen, K.S. (eds.) SCIA 2015. LNCS, vol. 9127, pp. 165\u2013174. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19665-7_14"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03801-4_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T00:47:01Z","timestamp":1775263621000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03801-4_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030038007","9783030038014"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03801-4_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ISVC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Visual Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Vegas, NV","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isvc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.isvc.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"113","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"66","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"58% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"54 papers were accepted for the main symposium out of 91 submissions; and 12 papers were accepted for the special tracks out of 22 submissions","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}