{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T14:05:55Z","timestamp":1774533955382,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,10,10]],"date-time":"2017-10-10T00:00:00Z","timestamp":1507593600000},"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":["Pattern Anal Applic"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s10044-017-0660-5","type":"journal-article","created":{"date-parts":[[2017,10,10]],"date-time":"2017-10-10T15:49:36Z","timestamp":1507650576000},"page":"601-614","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Efficient health-related abnormal behavior detection with visual and inertial sensor integration"],"prefix":"10.1007","volume":"22","author":[{"given":"Ying","family":"Li","sequence":"first","affiliation":[]},{"given":"Qiang","family":"Zhai","sequence":"additional","affiliation":[]},{"given":"Sihao","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yuan F.","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,10]]},"reference":[{"issue":"6","key":"660_CR1","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/j.pmcj.2012.08.003","volume":"8","author":"S Abbate","year":"2012","unstructured":"Abbate S, Avvenuti M, Bonatesta F, Cola G, Corsini P, Vecchio A (2012) A smartphone-based fall detection system. Pervasive and Mobile Computing 8(6):883\u2013899","journal-title":"Pervasive and Mobile Computing"},{"key":"660_CR2","unstructured":"Adib F, Kabelac Z, Katabi D, Miller RC (2013) 3D tracking via body radio reflections. Technical report MIT-CSAIL-TR-2013-030, MIT"},{"issue":"1","key":"660_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1008170101536","volume":"39","author":"L Alvarez","year":"2000","unstructured":"Alvarez L, Weickert J, S\u00e1nchez J (2000) Reliable estimation of dense optical flow fields with large displacements. Int J Comput Vis 39(1):41\u201356","journal-title":"Int J Comput Vis"},{"key":"660_CR4","first-page":"1003","volume":"1","author":"M Alwan","year":"2006","unstructured":"Alwan M, Rajendran P, Kell S, Mack D, Dalal S, Wolfe M, Felder R (2006) A smart and passive floor-vibration based fall detector for elderly. Proc. IEEE ICTTA 1:1003\u20131007","journal-title":"Proc. IEEE ICTTA"},{"issue":"2","key":"660_CR5","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"MS Arulampalam","year":"2002","unstructured":"Arulampalam MS, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for online nonlinear\/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing 50(2):174\u2013188","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"2","key":"660_CR6","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.gaitpost.2006.09.012","volume":"26","author":"AK Bourke","year":"2007","unstructured":"Bourke AK, O\u2019Brien JV, Lyons GM (2007) Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture 26(2):194\u2013199","journal-title":"Gait Posture"},{"key":"660_CR7","doi-asserted-by":"crossref","unstructured":"Brezmes T, Gorricho JL, Cotrina J (2009) Activity recognition from accelerometer data on a mobile phone. In: Proceedings of the IWANN, Part II, no. 5518 in LNCS, Springer, pp 796\u2013799","DOI":"10.1007\/978-3-642-02481-8_120"},{"key":"660_CR8","doi-asserted-by":"crossref","unstructured":"Ch\u00e9ron G, Laptev I, Schmid C (2015) P-CNN: Pose-based cnn features for action recognition. In: Proceedings of the IEEE international conference on computer vision, pp 3218\u20133226","DOI":"10.1109\/ICCV.2015.368"},{"issue":"2","key":"660_CR9","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MPRV.2008.39","volume":"7","author":"T Choudhury","year":"2008","unstructured":"Choudhury T, Consolvo S, Harrison B, Hightower J, Lamarca A, Legrand L, Rahimi A, Rea A, Bordello G, Hemingway B, Klasnja P, Koscher K, Landay J, Lester J, Wyatt D, Haehnel D (2008) The mobile sensing platform: an embedded activity recognition system. IEEE Pervasive Comput 7(2):32\u201341","journal-title":"IEEE Pervasive Comput"},{"issue":"3","key":"660_CR10","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"key":"660_CR11","doi-asserted-by":"crossref","unstructured":"Cuppens K, Chen CW, Wong KBY, Van\u00a0de Vel A, Lagae L, Ceulemans B, Tuytelaars T, Van\u00a0Huffel S, Vanrumste B, Aghajan H (2012) Integrating video and accelerometer signals for nocturnal epileptic seizure detection. In: Proceedings of the 14th ACM international conference on Multimodal interaction, ACM, pp 161\u2013164","DOI":"10.1145\/2388676.2388710"},{"key":"660_CR12","unstructured":"Dai J, Bai X, Yang Z, Shen Z, Xuan D (2010) PerFallD: a pervasive fall detection system using mobile phones. In: Proceedings of the IEEE PERCOM Workshop, pp 292\u2013297"},{"issue":"10","key":"660_CR13","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1109\/TCSVT.2014.2351094","volume":"25","author":"S Ding","year":"2015","unstructured":"Ding S, Li Y, Zhu J, Zheng YF, Xuan D (2015) Sequential sample consensus: a robust algorithm for video-based face recognition. IEEE Trans Circuits Syst Video Technol 25(10):1586\u20131598","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"660_CR14","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.patcog.2015.08.020","volume":"50","author":"S Ding","year":"2016","unstructured":"Ding S, Zhai Q, Li Y, Zhu J, Zheng YF, Xuan D (2016) Simultaneous body part and motion identification for human-following robots. Pattern Recognit 50:118\u2013130","journal-title":"Pattern Recognit"},{"issue":"5","key":"660_CR15","doi-asserted-by":"publisher","first-page":"6521","DOI":"10.1007\/s11042-016-3307-4","volume":"76","author":"S Ding","year":"2017","unstructured":"Ding S, Li G, Li Y, Li X, Zhai Q, Champion AC, Zhu J, Xuan D, Zheng YF (2017) Survsurf: human retrieval on large surveillance video data. Multimed Tools Appl 76(5):6521\u20136549","journal-title":"Multimed Tools Appl"},{"issue":"2","key":"660_CR16","doi-asserted-by":"publisher","first-page":"3","DOI":"10.5898\/JHRI.2.2.Fasola","volume":"2","author":"J Fasola","year":"2013","unstructured":"Fasola J, Mataric M (2013) A socially assistive robot exercise coach for the elderly. J Hum-Robot Interact 2(2):3\u201332","journal-title":"J Hum-Robot Interact"},{"issue":"9","key":"660_CR17","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627\u20131645","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"660_CR18","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1145\/1964897.1964918","volume":"12","author":"JR Kwapisz","year":"2011","unstructured":"Kwapisz JR, Weiss GM, Moore SA (2011) Activity recognition using cell phone accelerometers. SIGKDD Explor Newsl 12(2):74\u201382","journal-title":"SIGKDD Explor Newsl"},{"issue":"3","key":"660_CR19","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","volume":"15","author":"OD Lara","year":"2013","unstructured":"Lara OD, Labrador MA (2013) A survey on human activity recognition using wearable sensors. IEEE Commun Surv Tuts 15(3):1192\u20131209","journal-title":"IEEE Commun Surv Tuts"},{"issue":"99","key":"660_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPDS.2017.2684158","volume":"PP","author":"G Li","year":"2017","unstructured":"Li G, Li X, Yang F, Teng J, Ding S, Zheng YF, Xuan D, Chen B, Zhao W (2017) Traffic at-a-glance: time-bounded analytics on large visual traffic data. IEEE Trans Parallel Distrib Syst PP(99):1\u20131. doi:\n                    10.1109\/TPDS.2017.2684158","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"660_CR21","doi-asserted-by":"crossref","unstructured":"Li Q, Stankovic JA, Hanson MA, Barth AT, Lach J, Zhou G (2009) Accurate, fast fall detection using gyroscopes and accelerometer-derived posture information. In: Proceedings of the IEEE BSN","DOI":"10.1109\/BSN.2009.46"},{"key":"660_CR22","doi-asserted-by":"crossref","unstructured":"Li Y, Ding S, Zhai Q, Zheng YF, Xuan D (2015) Human feet tracking guided by locomotion model. In: Proceedings of 2015 IEEE international conference on robotics and automation (ICRA), IEEE, pp 2424\u20132429","DOI":"10.1109\/ICRA.2015.7139522"},{"key":"660_CR23","first-page":"323","volume":"4","author":"H Nait-Charif","year":"2004","unstructured":"Nait-Charif H, McKenna SJ (2004) Activity summarisation and fall detection in a supportive home environment. Proc IEEE ICPR 4:323\u2013326","journal-title":"Proc IEEE ICPR"},{"issue":"5","key":"660_CR24","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TCSVT.2011.2129370","volume":"21","author":"C Rougier","year":"2011","unstructured":"Rougier C, Meunier J, St-Arnaud A, Rousseau J (2011) Robust video surveillance for fall detection based on human shape deformation. IEEE Trans Circuits Syst Video Technol 21(5):611\u2013622","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"660_CR25","doi-asserted-by":"crossref","unstructured":"Sadanand S, Corso JJ (2012) Action bank: a high-level representation of activity in video. In: Proceedings of the IEEE CVPR, IEEE, pp 1234\u20131241","DOI":"10.1109\/CVPR.2012.6247806"},{"key":"660_CR26","unstructured":"Singh G, Saha S, Cuzzolin F (2016) Online real time multiple spatiotemporal action localisation and prediction on a single platform. arXiv preprint \n                    arXiv:161108563"},{"key":"660_CR27","doi-asserted-by":"crossref","unstructured":"Suarez I, Jahn A, Anderson C, David K (2015) Improved activity recognition by using enriched acceleration data. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM, pp 1011\u20131015","DOI":"10.1145\/2750858.2805844"},{"key":"660_CR28","doi-asserted-by":"crossref","unstructured":"Tabar AM, Keshavarz A, Aghajan H (2006) Smart home care network using sensor fusion and distributed vision-based reasoning. In: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, pp 145\u2013154","DOI":"10.1145\/1178782.1178804"},{"key":"660_CR29","doi-asserted-by":"crossref","unstructured":"Tolkiehn M, Atallah L, Lo B, Yang GZ (2011) Direction sensitive fall detection using a triaxial accelerometer and a barometric pressure sensor. In: Proceedings of the IEEE EMBC, pp 369\u2013372","DOI":"10.1109\/IEMBS.2011.6090120"},{"key":"660_CR30","doi-asserted-by":"crossref","unstructured":"Uijlings JR, Duta I, Rostamzadeh N, Sebe N (2014) Realtime video classification using dense hof\/hog. In: Proceedings of international conference on multimedia retrieval, ACM, pp 145\u2013152","DOI":"10.1145\/2578726.2578744"},{"key":"660_CR31","doi-asserted-by":"crossref","unstructured":"Wang H, Schmid C (2013) Action recognition with improved trajectories. In: Proceedings of the IEEE international conference on computer vision, pp 3551\u20133558","DOI":"10.1109\/ICCV.2013.441"},{"issue":"3","key":"660_CR32","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/s11263-015-0846-5","volume":"119","author":"H Wang","year":"2016","unstructured":"Wang H, Oneata D, Verbeek J, Schmid C (2016) A robust and efficient video representation for action recognition. Int J Comput Vis 119(3):219\u2013238","journal-title":"Int J Comput Vis"},{"key":"660_CR33","doi-asserted-by":"crossref","unstructured":"Wang L, Qiao Y, Tang X (2015) Action recognition with trajectory-pooled deep-convolutional descriptors. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4305\u20134314","DOI":"10.1109\/CVPR.2015.7299059"},{"key":"660_CR34","doi-asserted-by":"crossref","unstructured":"Williams A, Ganesan D, Hanson A (2007) Aging in Place: Fall Detection and Localization in a Distributed smart camera network. In: Proceedings of the ACM MM","DOI":"10.1145\/1291233.1291435"},{"issue":"5","key":"660_CR35","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TMC.2009.174","volume":"9","author":"J Wilson","year":"2010","unstructured":"Wilson J, Patwari N (2010) Radio tomographic imaging with wireless networks. IEEE Trans Mobile Comput 9(5):621\u2013632","journal-title":"IEEE Trans Mobile Comput"},{"issue":"5","key":"660_CR36","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1109\/TMC.2010.175","volume":"10","author":"J Wilson","year":"2011","unstructured":"Wilson J, Patwari N (2011) See-through walls: motion tracking using variance-based radio tomography networks. IEEE Trans Mobile Comput 10(5):612\u2013621","journal-title":"IEEE Trans Mobile Comput"},{"key":"660_CR37","doi-asserted-by":"crossref","unstructured":"Xie H, Tao X, Ye H, Lu J (2013) WeCare: an intelligent badge for elderly danger detection and alert. In: Proceedings of the IEEE UIC\/ATC, pp 224\u2013231","DOI":"10.1109\/UIC-ATC.2013.104"},{"issue":"12","key":"660_CR38","doi-asserted-by":"publisher","first-page":"5599","DOI":"10.1109\/TIP.2014.2365699","volume":"23","author":"Y Yan","year":"2014","unstructured":"Yan Y, Ricci E, Subramanian R, Liu G, Sebe N (2014) Multitask linear discriminant analysis for view invariant action recognition. IEEE Trans Image Proces 23(12):5599\u20135611. doi:\n                    10.1109\/TIP.2014.2365699","journal-title":"IEEE Trans Image Proces"},{"key":"660_CR39","doi-asserted-by":"crossref","unstructured":"Zhao Y, Patwari N, Phillips JM, Venkatasubramanian S (2013) Radio tomographic imaging and tracking of stationary and moving people via kernel distance. In: Proceedings of the ACM IPSN, pp 229\u2013240","DOI":"10.1145\/2461381.2461410"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0660-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-017-0660-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0660-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T12:55:59Z","timestamp":1557492959000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-017-0660-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,10]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["660"],"URL":"https:\/\/doi.org\/10.1007\/s10044-017-0660-5","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,10]]},"assertion":[{"value":"28 August 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}