{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T06:33:32Z","timestamp":1723012412203},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T00:00:00Z","timestamp":1590019200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T00:00:00Z","timestamp":1590019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s00779-020-01402-6","type":"journal-article","created":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T09:02:43Z","timestamp":1590051763000},"page":"521-540","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["HumanSense: a framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments"],"prefix":"10.1007","volume":"26","author":[{"given":"Arindam","family":"Ghosh","sequence":"first","affiliation":[]},{"given":"Amartya","family":"Chakraborty","sequence":"additional","affiliation":[]},{"given":"Joydeep","family":"Kumbhakar","sequence":"additional","affiliation":[]},{"given":"Mousumi","family":"Saha","sequence":"additional","affiliation":[]},{"given":"Sujoy","family":"Saha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,21]]},"reference":[{"issue":"2","key":"1402_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.pmcj.2006.12.001","volume":"3","author":"DJ Cook","year":"2007","unstructured":"Cook DJ, Das SK (2007) How smart are our environments? an updated look at the state of the art. Pervasive Mob Comput 3(2):53\u201373","journal-title":"Pervasive Mob Comput"},{"issue":"2","key":"1402_CR2","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s00779-014-0813-0","volume":"19","author":"C Wilson","year":"2015","unstructured":"Wilson C, Hargreaves T, Hauxwell-Baldwin R (2015) Smart homes and their users: a systematic analysis and key challenges. Pers Ubiquit Comput 19(2):463\u2013476","journal-title":"Pers Ubiquit Comput"},{"key":"1402_CR3","doi-asserted-by":"crossref","unstructured":"Lane ND, Mohammod M, Mu L, Yang X, Lu H, Ali S, Doryab A, Berke E, Choudhury T, Campbell A (2011) Bewell: a smartphone application to monitor, model and promote wellbeing","DOI":"10.4108\/icst.pervasivehealth.2011.246161"},{"key":"1402_CR4","doi-asserted-by":"crossref","unstructured":"Shoaib Muhammad, Bosch Stephan, Scholten Hans, Havinga Paul JM (2015) Ozlem Durmaz Incel. Towards detection of bad habits by fusing smartphone and smartwatch sensors. In: 2015 IEEE international conference on pervasive computing and communication workshops (PerCom Workshops), pp 591\u2013596. IEEE","DOI":"10.1109\/PERCOMW.2015.7134104"},{"key":"1402_CR5","doi-asserted-by":"crossref","unstructured":"Tran DN, Phan DD (2016) Human activities recognition in android smartphone using support vector machine. In: 2016 7th international conference on intelligent systems, modelling and simulation (ISMS), pp 64\u201368. IEEE","DOI":"10.1109\/ISMS.2016.51"},{"key":"1402_CR6","doi-asserted-by":"crossref","unstructured":"Ibrahim MS, Muralidharan S, Deng Z, Vahdat A, Mori G (2016) A hierarchical deep temporal model for group activity recognition. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR), pp 1971\u20131980. IEEE","DOI":"10.1109\/CVPR.2016.217"},{"key":"1402_CR7","doi-asserted-by":"crossref","unstructured":"Ryoo MS, Aggarwal JK (2008) Recognition of high-level group activities based on activities of individual members. In: 2008 IEEE workshop on motion and video computing, 2008. WMVC, pages 1\u20138. IEEE","DOI":"10.1109\/WMVC.2008.4544065"},{"issue":"05","key":"1402_CR8","doi-asserted-by":"publisher","first-page":"1555007","DOI":"10.1142\/S0218001415550071","volume":"29","author":"N-G Cho","year":"2015","unstructured":"Cho N-G, Kim Y-J, Park U, Park J-S, Lee S-W (2015) Group activity recognition with group interaction zone based on relative distance between human objects. Int J Pattern Recogn Artif Intell 29(05):1555007","journal-title":"Int J Pattern Recogn Artif Intell"},{"issue":"3","key":"1402_CR9","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1109\/TMM.2006.870735","volume":"8","author":"D Zhang","year":"2006","unstructured":"Zhang D, Gatica-Perez D, Bengio S, McCowan I (2006) Modeling individual and group actions in meetings with layered hmms. IEEE Trans Multimed 8(3):509\u2013520","journal-title":"IEEE Trans Multimed"},{"issue":"5","key":"1402_CR10","doi-asserted-by":"publisher","first-page":"1482","DOI":"10.1109\/JSEN.2013.2296601","volume":"14","author":"Jaeseok Yun","year":"2014","unstructured":"Yun Jaeseok, Song Min-Hwan (2014) Detecting direction of movement using pyroelectric infrared sensors. IEEE Sensors J 14(5):1482\u20131489","journal-title":"IEEE Sensors J"},{"key":"1402_CR11","doi-asserted-by":"crossref","unstructured":"Wang W, Liu AX, Shahzad M, Ling K, Lu S (2015) Understanding and modeling of wifi signal based human activity recognition. In: Proceedings of the 21st annual international conference on mobile computing and networking, pp 65\u201376. ACM","DOI":"10.1145\/2789168.2790093"},{"issue":"11","key":"1402_CR12","doi-asserted-by":"publisher","first-page":"3535","DOI":"10.1016\/j.patcog.2014.05.008","volume":"47","author":"N Noceti","year":"2014","unstructured":"Noceti N, Odone F (2014) Humans in groups: the importance of contextual information for understanding collective activities. Pattern Recogn 47(11):3535\u20133551","journal-title":"Pattern Recogn"},{"issue":"6","key":"1402_CR13","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.1109\/TPAMI.2013.220","volume":"36","author":"W Choi","year":"2013","unstructured":"Choi W, Savarese S (2013) Understanding collective activities of people from videos. IEEE Trans Pattern Anal Mach Intell 36(6):1242\u20131257","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"1402_CR14","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1109\/TIP.2015.2409564","volume":"24","author":"X Chang","year":"2015","unstructured":"Chang X, Zheng W-S, Zhang J (2015) Learning person\u2013person interaction in collective activity recognition. IEEE Trans Image Process 24(6):1905\u20131918","journal-title":"IEEE Trans Image Process"},{"key":"1402_CR15","doi-asserted-by":"crossref","unstructured":"Liu J, Wang C, Gong Y, Xue H (2019) Deep fully connected model for collective activity recognition, vol 7","DOI":"10.1109\/ACCESS.2019.2929684"},{"key":"1402_CR16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/TIP.2019.2918725","volume":"29","author":"P Zhang","year":"2019","unstructured":"Zhang P, Tang Y, Hu J-F, Zheng W-S (2019) Fast collective activity recognition under weak supervision. IEEE Trans Image Process 29:29\u201343","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"1402_CR17","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1038\/sj.jea.7500165","volume":"11","author":"NE Klepeis","year":"2001","unstructured":"Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, Behar JV, Hern SC, Engelmann WH (2001) The national human activity pattern survey (nhaps): a resource for assessing exposure to environmental pollutants. J Expo Sci Environ Epid 11(3):231","journal-title":"J Expo Sci Environ Epid"},{"issue":"1","key":"1402_CR18","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s12652-011-0065-z","volume":"4","author":"R Ugolotti","year":"2013","unstructured":"Ugolotti R, Sassi F, Mordonini M, Cagnoni S (2013) Multi-sensor system for detection and classification of human activities. J Ambient Intell Humaniz Comput 4(1):27\u201341","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"1402_CR19","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.pmcj.2016.01.004","volume":"30","author":"R San-Segundo","year":"2016","unstructured":"San-Segundo R, Lorenzo-Trueba J, Mart\u00ednez-Gonz\u00e1lez B, Pardo JM (2016) Segmenting human activities based on hmms using smartphone inertial sensors. Pervasive Mob Comput 30:84\u201396","journal-title":"Pervasive Mob Comput"},{"issue":"12","key":"1402_CR20","doi-asserted-by":"publisher","first-page":"31314","DOI":"10.3390\/s151229858","volume":"15","author":"F Attal","year":"2015","unstructured":"Attal F, Mohammed S, Dedabrishvili M, Chamroukhi F, Oukhellou L, Amirat Y (2015) Physical human activity recognition using wearable sensors. Sensors 15(12):31314\u201331338","journal-title":"Sensors"},{"issue":"1","key":"1402_CR21","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s00779-014-0815-y","volume":"19","author":"M Hardegger","year":"2015","unstructured":"Hardegger M, Roggen D, Tr\u00f6ster G (2015) 3d actionslam: wearable person tracking in multi-floor environments. Pers Ubiquit Comput 19(1):123\u2013141","journal-title":"Pers Ubiquit Comput"},{"key":"1402_CR22","doi-asserted-by":"crossref","unstructured":"Hussain S, Schaffner S, Moseychuck D (2009) Applications of wireless sensor networks and rfid in a smart home environment. In: 2009 7th annual communication networks and services research conference CNSR\u201909, pp 153\u2013157. IEEE","DOI":"10.1109\/CNSR.2009.32"},{"issue":"10","key":"1402_CR23","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1109\/MCOM.2017.1700037","volume":"55","author":"Z Yu","year":"2017","unstructured":"Yu Z, Zhang D, Wang Z, Guo B, Roussaki I, Doolin K, Claffey E (2017) Toward context-aware mobile social networks. IEEE Commun Mag 55(10):168\u2013175","journal-title":"IEEE Commun Mag"},{"issue":"12","key":"1402_CR24","doi-asserted-by":"publisher","first-page":"4340","DOI":"10.1109\/JSEN.2014.2331463","volume":"14","author":"Z Zhang","year":"2014","unstructured":"Zhang Z, Poslad S (2014) Improved use of foot force sensors and mobile phone gps for mobility activity recognition. IEEE Sensors J 14(12):4340\u20134347","journal-title":"IEEE Sensors J"},{"key":"1402_CR25","doi-asserted-by":"crossref","unstructured":"Jang Y, Shin S, Won Lee J, Kim S (2007) A preliminary study for portable walking distance measurement system using ultrasonic sensors. In: 29th annual international conference of the IEEE engineering in medicine and biology society 2007. EMBS 2007, pp 5290\u20135293. IEEE","DOI":"10.1109\/IEMBS.2007.4353535"},{"issue":"8","key":"1402_CR26","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1016\/j.adhoc.2009.04.009","volume":"7","author":"N Li","year":"2009","unstructured":"Li N, Zhang N, Das SK, Thuraisingham B (2009) Privacy preservation in wireless sensor networks: A state-of-the-art survey. Ad Hoc Netw 7(8):1501\u20131514","journal-title":"Ad Hoc Netw"},{"issue":"1","key":"1402_CR27","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s10916-010-9449-4","volume":"36","author":"M Al Ameen","year":"2012","unstructured":"Al Ameen M, Liu J, Kwak K (2012) Security and privacy issues in wireless sensor networks for healthcare applications. J Med Syst 36(1):93\u2013101","journal-title":"J Med Syst"},{"issue":"5","key":"1402_CR28","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1109\/THMS.2014.2377111","volume":"45","author":"S Gaglio","year":"2015","unstructured":"Gaglio S, Lo Re G, Morana M (2015) Human activity recognition process using 3-d posture data. IEEE Trans Human-Mach Syst 45(5):586\u2013597","journal-title":"IEEE Trans Human-Mach Syst"},{"key":"1402_CR29","first-page":"1","volume":"2018","author":"MR Mettel","year":"2018","unstructured":"Mettel MR, Alekseew M, Stockl"ow C, Braun A (2018) Designing and evaluating safety services using depth cameras. J Ambient Intell Humaniz Comput 2018:1\u201313","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"1402_CR30","doi-asserted-by":"crossref","unstructured":"Noori FM, Wallace B, Uddin Z Md, Torresen J (2019) A robust human activity recognition approach using openpose, motion features, and deep recurrent neural network. In: Scandinavian conference on image analysis, pp 299\u2013310. Springer","DOI":"10.1007\/978-3-030-20205-7_25"},{"issue":"3","key":"1402_CR31","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1109\/JSEN.2011.2165942","volume":"12","author":"R Cheng","year":"2012","unstructured":"Cheng R, Heinzelman W, Sturge-Apple M, Ignjatovic Z (2012) A motion-tracking ultrasonic sensor array for behavioral monitoring. IEEE Sensors J 12(3):707\u2013712","journal-title":"IEEE Sensors J"},{"issue":"5","key":"1402_CR32","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1016\/j.pmcj.2011.12.005","volume":"8","author":"D De","year":"2012","unstructured":"De D, Tang S, Song W-Z, Cook D, Das SK (2012) Actisen: activity-aware sensor network in smart environments. Pervasive Mob Comput 8(5):730\u2013750","journal-title":"Pervasive Mob Comput"},{"key":"1402_CR33","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.ins.2013.01.029","volume":"233","author":"A Alvarez-Alvarez","year":"2013","unstructured":"Alvarez-Alvarez A, Alonso JM, Trivino G (2013) Human activity recognition in indoor environments by means of fusing information extracted from intensity of wifi signal and accelerations. Inform Sci 233:162\u2013182","journal-title":"Inform Sci"},{"issue":"1","key":"1402_CR34","first-page":"1","volume":"3","author":"F Zhang","year":"2019","unstructured":"Zhang F, Niu K, Xiong J, Jin B, Gu T, Jiang Y, Zhang D (2019) Towards a diffraction-based sensing approach on human activity recognition. Proceedings of the ACM on Interactive Mobile, Wearable and Ubiquitous Technologies 3(1):1\u201325","journal-title":"Proceedings of the ACM on Interactive Mobile, Wearable and Ubiquitous Technologies"},{"key":"1402_CR35","doi-asserted-by":"crossref","unstructured":"Kim Y-J, Cho N-G, Lee S-W (2014) Group activity recognition with group interaction zone. In: 2014 22nd international conference on pattern recognition, pp 3517\u20133521. IEEE","DOI":"10.1109\/ICPR.2014.605"},{"key":"1402_CR36","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.dsp.2018.03.021","volume":"79","author":"K Stephens","year":"2018","unstructured":"Stephens K, Bors AG (2018) Modelling of interactions for the recognition of activities in groups of people. Digital Signal Process 79:34\u201346","journal-title":"Digital Signal Process"},{"key":"1402_CR37","unstructured":"Das S, Chatterjee S, Chakraborty S, Mitra Bivas (2018) Meetsense: a lightweight framework for group identification using smartphones CoRR"},{"key":"1402_CR38","doi-asserted-by":"crossref","unstructured":"Casagranda P, Sapino ML, Candan KS (2015) Audio assisted group detection using smartphones. In: 2015 IEEE international conference on multimedia & expo workshops (ICMEW), pp 1\u20136. IEEE","DOI":"10.1109\/ICMEW.2015.7169764"},{"key":"1402_CR39","doi-asserted-by":"crossref","unstructured":"Lu H, Pan W, Lane ND, Choudhury T, Campbell AT (2009) Soundsense: scalable sound sensing for people-centric applications on mobile phones. In: Proceedings of the 7th international conference on Mobile systems, applications, and services, pp 165\u2013178. ACM","DOI":"10.1145\/1555816.1555834"},{"issue":"1","key":"1402_CR40","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1109\/TSMCB.2007.909939","volume":"38","author":"P Dai","year":"2008","unstructured":"Dai P, Di H, Dong L, Tao L, Xu G (2008) Group interaction analysis in dynamic context. IEEE Trans Syst Man Cybern Part B (Cybern) 38(1):275\u2013282","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"issue":"11","key":"1402_CR41","doi-asserted-by":"publisher","first-page":"2188","DOI":"10.1109\/TASLP.2017.2747097","volume":"25","author":"C Yu","year":"2017","unstructured":"Yu C, Hansen JHL (2017) Active learning based constrained clustering for speaker diarization. IEEE\/ACM Trans on Audio, Speech, and Language Process 25(11):2188\u20132198","journal-title":"IEEE\/ACM Trans on Audio, Speech, and Language Process"},{"key":"1402_CR42","doi-asserted-by":"crossref","unstructured":"Rossi M, Feese S, Amft O, Braune N, Martis S, Tr\u00f6ster G (2013) Ambientsense: a real-time ambient sound recognition system for smartphones. In 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp 230\u2013235. IEEE","DOI":"10.1109\/PerComW.2013.6529487"},{"key":"1402_CR43","doi-asserted-by":"publisher","first-page":"49611","DOI":"10.1109\/ACCESS.2018.2866872","volume":"6","author":"C Wang","year":"2018","unstructured":"Wang C, Xu Y, Liang H, Huang W, Zhang L (2018) Woody: a post-process method for smartphone-based activity recognition. IEEE Access 6:49611\u201349625","journal-title":"IEEE Access"},{"key":"1402_CR44","first-page":"1","volume":"2019","author":"D Yacchirema","year":"2019","unstructured":"Yacchirema D, de Puga JS, Palau C, Esteve M (2019) Fall detection system for elderly people using iot and ensemble machine learning algorithm. Pers Ubiquit Comput 2019:1\u201317","journal-title":"Pers Ubiquit Comput"},{"key":"1402_CR45","doi-asserted-by":"crossref","unstructured":"Deng Z, Zhai M, Chen L, Liu Y, Muralidharan S, Roshtkhari MJ, Mori G (2015) Deep structured models for group activity recognition. arXiv:1506.04191","DOI":"10.5244\/C.29.179"},{"key":"1402_CR46","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.patrec.2014.02.002","volume":"43","author":"T Kaneko","year":"2014","unstructured":"Kaneko T, Shimosaka M, Odashima S, Fukui R, Sato T (2014) A fully connected model for consistent collective activity recognition in videos. Pattern Recogn Lett 43:109\u2013118","journal-title":"Pattern Recogn Lett"},{"key":"1402_CR47","doi-asserted-by":"crossref","unstructured":"Tran SN, Zhang Q (2020) Towards multi-resident activity monitoring with smarter safer home platform. In Smart assisted living, pp 249\u2013267. Springer","DOI":"10.1007\/978-3-030-25590-9_12"},{"key":"1402_CR48","doi-asserted-by":"crossref","unstructured":"Siddiqi MH, Alruwaili M, Ali A (2019) A novel feature selection method for video-based human activity recognition systems, vol 7","DOI":"10.1109\/ACCESS.2019.2936621"},{"key":"1402_CR49","doi-asserted-by":"crossref","unstructured":"Srinivasan V, Stankovic J, Whitehouse K (2010) Using height sensors for biometric identification in multi-resident homes. In: International conference on pervasive computing, pp 337\u2013354. Springer","DOI":"10.1007\/978-3-642-12654-3_20"},{"key":"1402_CR50","doi-asserted-by":"crossref","unstructured":"Ghosh A, Sanyal A, Chakraborty A, Sharma Praveen K, Saha M, Nandi S, Saha S (2017) On automatizing recognition of multiple human activities using ultrasonic sensor grid. In: 2017 9th international conference on communication systems and networks (COMSNETS), pp 488\u2013491","DOI":"10.1109\/COMSNETS.2017.7945440"},{"key":"1402_CR51","doi-asserted-by":"crossref","unstructured":"Nadee C, Chamnongthai K (2015) Ultrasonic array sensors for monitoring of human fall detection. In: 2015 12th international conference on electrical engineering\/electronics, computer, telecommunications and information technology (ECTI-CON), pp 1\u20134. IEEE","DOI":"10.1109\/ECTICon.2015.7207097"},{"issue":"5","key":"1402_CR52","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1109\/TITB.2010.2052061","volume":"14","author":"C-D Liu","year":"2010","unstructured":"Liu C-D, Chung Y-N, Chung P-C (2010) An interaction-embedded hmm framework for human behavior understanding: with nursing environments as examples. IEEE Trans Inf Technol Biomed 14(5):1236\u20131246","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"1402_CR53","doi-asserted-by":"crossref","unstructured":"Deng Z, Vahdat A, Hu H, Mori G (2016) Structure inference machines: recurrent neural networks for analyzing relations in group activity recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4772\u20134781","DOI":"10.1109\/CVPR.2016.516"},{"key":"1402_CR54","doi-asserted-by":"crossref","unstructured":"Ghosh A, Chakraborty D, Prasad D, Saha M, Saha S (2018) Can we recognize multiple human group activities using ultrasonic sensors? In 2018 10th International Conference on Communication Systems & Networks (COMSNETS), pp 557\u2013560. IEEE","DOI":"10.1109\/COMSNETS.2018.8328272"},{"issue":"3","key":"1402_CR55","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/6046.865479","volume":"2","author":"S Dupont","year":"2000","unstructured":"Dupont S, Luettin J (2000) Audio-visual speech modeling for continuous speech recognition. IEEE Trans Multimed 2(3):141\u2013151","journal-title":"IEEE Trans Multimed"},{"issue":"6","key":"1402_CR56","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1109\/79.543975","volume":"13","author":"TK Moon","year":"1996","unstructured":"Moon TK (1996) The expectation-maximization algorithm. IEEE Signal Process Mag 13(6):47\u201360","journal-title":"IEEE Signal Process Mag"},{"issue":"3","key":"1402_CR57","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1109\/PROC.1973.9030","volume":"61","author":"G David Forney","year":"1973","unstructured":"David Forney G (1973) The viterbi algorithm. Proc IEEE 61(3):268\u2013278","journal-title":"Proc IEEE"},{"key":"1402_CR58","unstructured":"Han W, Chan C-F, Choy C-S, Pun K-P (2006) An efficient mfcc extraction method in speech recognition. In: 2006 IEEE international symposium on circuits and systems, pp 4\u2013pp. IEEE"},{"issue":"5","key":"1402_CR59","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1109\/TASL.2006.878256","volume":"14","author":"SE Tranter","year":"2006","unstructured":"Tranter SE, Reynolds DA (2006) An overview of automatic speaker diarization systems. IEEE Trans Audio, Speech, Language Process 14(5):1557\u20131565","journal-title":"IEEE Trans Audio, Speech, Language Process"},{"key":"1402_CR60","doi-asserted-by":"crossref","unstructured":"Anguita D, Ghio A, Oneto L, Parra X, Reyes-Ortiz JL (2012) Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine. In: International workshop on ambient assisted living, pp 216\u2013223. Springer","DOI":"10.1007\/978-3-642-35395-6_30"},{"key":"1402_CR61","doi-asserted-by":"crossref","unstructured":"Kim S-W, Lee Y-J, Cho N-G (2014) Group activity recognition with group interaction zone. In: 2014 22nd international conference on pattern recognition (ICPR), pp 3517\u20133521","DOI":"10.1109\/ICPR.2014.605"},{"issue":"4","key":"1402_CR62","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.wocn.2010.08.002","volume":"38","author":"M Heldner","year":"2010","unstructured":"Heldner M, Edlund J (2010) Pauses, gaps and overlaps in conversations. J Phon 38(4):555\u2013568","journal-title":"J Phon"},{"issue":"1","key":"1402_CR63","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s12652-012-0122-2","volume":"5","author":"Z Yi","year":"2014","unstructured":"Yi Z, Kuroda T (2014) Wearable sensor-based human activity recognition from environmental background sounds. J Ambient Intell Humaniz Comput 5(1):77\u201389","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"1402_CR64","doi-asserted-by":"publisher","first-page":"103226","DOI":"10.1016\/j.engappai.2019.08.020","volume":"89","author":"A Vafeiadis","year":"2020","unstructured":"Vafeiadis A, Votis K, Giakoumis D, Tzovaras D, Chen L, Hamzaoui R (2020) Audio content analysis for unobtrusive event detection in smart homes. Eng Appl Artif Intel 89:103226","journal-title":"Eng Appl Artif Intel"}],"updated-by":[{"updated":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"DOI":"10.1007\/s00779-020-01432-0","type":"correction","label":"Correction"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01402-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-020-01402-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01402-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T06:23:17Z","timestamp":1654842197000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-020-01402-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,21]]},"references-count":64,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["1402"],"URL":"https:\/\/doi.org\/10.1007\/s00779-020-01402-6","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,21]]},"assertion":[{"value":"13 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2020","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s00779-020-01432-0","URL":"https:\/\/doi.org\/10.1007\/s00779-020-01432-0","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}