{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T05:20:22Z","timestamp":1754112022583},"publisher-location":"Cham","reference-count":48,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030141172"},{"type":"electronic","value":"9783030141189"}],"license":[{"start":{"date-parts":[[2019,3,17]],"date-time":"2019-03-17T00:00:00Z","timestamp":1552780800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-14118-9_72","type":"book-chapter","created":{"date-parts":[[2019,3,16]],"date-time":"2019-03-16T11:02:59Z","timestamp":1552734179000},"page":"734-745","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A Survey on Human Activity Recognition Based on Temporal Signals of Portable Inertial Sensors"],"prefix":"10.1007","author":[{"given":"Reda","family":"Elbasiony","sequence":"first","affiliation":[]},{"given":"Walid","family":"Gomaa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,17]]},"reference":[{"key":"72_CR1","unstructured":"Ericsson Mobility Report on The Pulse of The Networked Society. Technical report, Ericsson, November 2016. \n                    https:\/\/www.ericsson.com\/assets\/local\/mobility-report\/documents\/2016\/ericsson-mobility-report-november-2016.pdf"},{"key":"72_CR2","doi-asserted-by":"crossref","unstructured":"Alshurafa, N., Xu, W., Liu, J.J., Huang, M.C., Mortazavi, B., Sarrafzadeh, M., Roberts, C.: Robust human intensity-varying activity recognition using stochastic approximation in wearable sensors. In: IEEE International Conference on Body Sensor Networks (BSN), pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/BSN.2013.6575515"},{"issue":"9","key":"72_CR3","first-page":"1295","volume":"19","author":"D Anguita","year":"2013","unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: Energy efficient smartphone-based activity recognition using fixed-point arithmetic. J. UCS 19(9), 1295\u20131314 (2013)","journal-title":"J. UCS"},{"issue":"9","key":"72_CR4","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s10916-014-0095-0","volume":"38","author":"M Arif","year":"2014","unstructured":"Arif, M., Bilal, M., Kattan, A., Ahamed, S.I.: Better physical activity classification using smartphone acceleration sensor. J. Med. Syst. 38(9), 95 (2014)","journal-title":"J. Med. Syst."},{"key":"72_CR5","doi-asserted-by":"crossref","unstructured":"Ashry, S., Elbasiony, R., Gomaa, W.: An lstm-based descriptor for human activities recognition using imu sensors. In: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics, ICINCO, Vol. 1, pp. 494\u2013501. INSTICC, SciTePress (2018)","DOI":"10.5220\/0006902404940501"},{"key":"72_CR6","doi-asserted-by":"crossref","unstructured":"Basterretxea, K., Echanobe, J., del Campo, I.: A wearable human activity recognition system on a chip. In: 2014 Conference on Design and Architectures for Signal and Image Processing (DASIP), pp. 1\u20138. IEEE (2014)","DOI":"10.1109\/DASIP.2014.7115600"},{"key":"72_CR7","doi-asserted-by":"crossref","unstructured":"Braojos, R., Beretta, I., Constantin, J., Burg, A., Atienza, D.: A wireless body sensor network for activity monitoring with low transmission overhead. In: 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), pp. 265\u2013272. IEEE (2014)","DOI":"10.1109\/EUC.2014.46"},{"key":"72_CR8","doi-asserted-by":"crossref","unstructured":"Bruno, B., Mastrogiovanni, F., Sgorbissa, A., Vernazza, T., Zaccaria, R.: Analysis of human behavior recognition algorithms based on acceleration data. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1602\u20131607. IEEE (2013)","DOI":"10.1109\/ICRA.2013.6630784"},{"key":"72_CR9","doi-asserted-by":"crossref","unstructured":"Chernbumroong, S., Atkins, A.S., Yu, H.: Activity classification using a single wrist-worn accelerometer. In: 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA), pp. 1\u20136. IEEE (2011)","DOI":"10.1109\/SKIMA.2011.6089975"},{"key":"72_CR10","unstructured":"Chuang, F.C., Wang, J.S., Yang, Y.T., Kao, T.P.: A wearable activity sensor system and its physical activity classification scheme. In: International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136. IEEE (2012)"},{"key":"72_CR11","unstructured":"Chung, W.Y., Purwar, A., Sharma, A.: Frequency domain approach for activity classification using accelerometer. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008, pp. 1120\u20131123. IEEE (2008)"},{"issue":"2","key":"72_CR12","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1109\/JSEN.2016.2628346","volume":"17","author":"M Cornacchia","year":"2017","unstructured":"Cornacchia, M., Ozcan, K., Zheng, Y., Velipasalar, S.: A survey on activity detection and classification using wearable sensors. IEEE Sens. J. 17(2), 386\u2013403 (2017)","journal-title":"IEEE Sens. J."},{"issue":"1","key":"72_CR13","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TII.2010.2089990","volume":"7","author":"H Ghasemzadeh","year":"2011","unstructured":"Ghasemzadeh, H., Jafari, R.: Physical movement monitoring using body sensor networks: a phonological approach to construct spatial decision trees. IEEE Trans. Industr. Inf. 7(1), 66\u201377 (2011)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"72_CR14","doi-asserted-by":"crossref","unstructured":"Gjoreski, H., Kozina, S., Gams, M., Lustrek, M.: Rarefall\u2013real-time activity recognition and fall detection system. In: IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 145\u2013147. IEEE (2014)","DOI":"10.1109\/PerComW.2014.6815182"},{"key":"72_CR15","doi-asserted-by":"crossref","unstructured":"Gomaa, W., Elbasiony, R., Ashry, S.: Adl classification based on autocorrelation function of inertial signals. In: 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 833\u2013837. IEEE (2017)","DOI":"10.1109\/ICMLA.2017.00-53"},{"key":"72_CR16","doi-asserted-by":"crossref","unstructured":"He, Z., Jin, L.: Activity recognition from acceleration data based on discrete consine transform and svm. In: IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, pp. 5041\u20135044. IEEE (2009)","DOI":"10.1109\/ICSMC.2009.5346042"},{"key":"72_CR17","unstructured":"He, Z., Liu, Z., Jin, L., Zhen, L.X., Huang, J.C.: Weightlessness feature\u2013a novel feature for single tri-axial accelerometer based activity recognition. In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1\u20134. IEEE (2008)"},{"key":"72_CR18","doi-asserted-by":"crossref","unstructured":"Huynh, T., Schiele, B.: Towards less supervision in activity recognition from wearable sensors. In: 10th IEEE International Symposium on Wearable Computers, pp. 3\u201310. IEEE (2006)","DOI":"10.1109\/ISWC.2006.286336"},{"issue":"1","key":"72_CR19","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1109\/TITB.2005.856864","volume":"10","author":"DM Karantonis","year":"2006","unstructured":"Karantonis, D.M., Narayanan, M.R., Mathie, M., Lovell, N.H., Celler, B.G.: Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed. 10(1), 156\u2013167 (2006)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"issue":"5","key":"72_CR20","doi-asserted-by":"publisher","first-page":"1166","DOI":"10.1109\/TITB.2010.2051955","volume":"14","author":"AM Khan","year":"2010","unstructured":"Khan, A.M., Lee, Y.K., Lee, S.Y., Kim, T.S.: A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer. IEEE Trans. Inf. Technol. Biomed. 14(5), 1166\u20131172 (2010)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"72_CR21","doi-asserted-by":"crossref","unstructured":"Kilinc, O., Dalzell, A., Uluturk, I., Uysal, I.: Inertia based recognition of daily activities with anns and spectrotemporal features. In: IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 733\u2013738. IEEE (2015)","DOI":"10.1109\/ICMLA.2015.220"},{"key":"72_CR22","doi-asserted-by":"crossref","unstructured":"Koskimaki, H., Huikari, V., Siirtola, P., Laurinen, P., Roning, J.: Activity recognition using a wrist-worn inertial measurement unit: a case study for industrial assembly lines. In: 17th Mediterranean Conference on Control and Automation, MED 2009, pp. 401\u2013405. IEEE (2009)","DOI":"10.1109\/MED.2009.5164574"},{"key":"72_CR23","doi-asserted-by":"crossref","unstructured":"Krishnan, N.C., Panchanathan, S.: Analysis of low resolution accelerometer data for continuous human activity recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008, pp. 3337\u20133340. IEEE (2008)","DOI":"10.1109\/ICASSP.2008.4518365"},{"issue":"2","key":"72_CR24","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1145\/1964897.1964918","volume":"12","author":"JR Kwapisz","year":"2011","unstructured":"Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. ACM SigKDD Explor. Newsl. 12(2), 74\u201382 (2011)","journal-title":"ACM SigKDD Explor. Newsl."},{"key":"72_CR25","doi-asserted-by":"crossref","unstructured":"Lara, O.D., Labrador, M.A.: A mobile platform for real-time human activity recognition. In: IEEE Consumer Communications and Networking Conference (CCNC), pp. 667\u2013671. IEEE (2012)","DOI":"10.1109\/CCNC.2012.6181018"},{"issue":"3","key":"72_CR26","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","volume":"15","author":"OD Lara","year":"2013","unstructured":"Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 15(3), 1192\u20131209 (2013)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"3","key":"72_CR27","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/MPRV.2002.1037719","volume":"1","author":"SW Lee","year":"2002","unstructured":"Lee, S.W., Mase, K.: Activity and location recognition using wearable sensors. IEEE Pervasive Comput. 1(3), 24\u201332 (2002)","journal-title":"IEEE Pervasive Comput."},{"key":"72_CR28","doi-asserted-by":"crossref","unstructured":"Mannini, A., Sabatini, A.M.: On-line classification of human activity and estimation of walk-run speed from acceleration data using support vector machines. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, pp. 3302\u20133305. IEEE (2011)","DOI":"10.1109\/IEMBS.2011.6090896"},{"key":"72_CR29","unstructured":"Mantyjarvi, J., Himberg, J., Seppanen, T.: Recognizing human motion with multiple acceleration sensors. In: IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 747\u2013752. IEEE (2001)"},{"issue":"4","key":"72_CR30","first-page":"788","volume":"63","author":"J Margarito","year":"2016","unstructured":"Margarito, J., Helaoui, R., Bianchi, A.M., Sartor, F., Bonomi, A.G.: User-independent recognition of sports activities from a single wrist-worn accelerometer: a template-matching-based approach. IEEE Trans. Biomed. Eng. 63(4), 788\u2013796 (2016)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"72_CR31","doi-asserted-by":"crossref","unstructured":"Maurer, U., Smailagic, A., Siewiorek, D.P., Deisher, M.: Activity recognition and monitoring using multiple sensors on different body positions. In: International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2006, pp. 4\u2013pp. IEEE (2006)","DOI":"10.21236\/ADA534437"},{"issue":"2","key":"72_CR32","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1109\/JBHI.2013.2293674","volume":"18","author":"B Mortazavi","year":"2014","unstructured":"Mortazavi, B., Nyamathi, S., Lee, S.I., Wilkerson, T., Ghasemzadeh, H., Sarrafzadeh, M.: Near-realistic mobile exergames with wireless wearable sensors. IEEE J. Biomed. Health Inf. 18(2), 449\u2013456 (2014)","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"11","key":"72_CR33","doi-asserted-by":"publisher","first-page":"3177","DOI":"10.1109\/TBME.2012.2206384","volume":"59","author":"D Naranjo-Hern\u00e1ndez","year":"2012","unstructured":"Naranjo-Hern\u00e1ndez, D., Roa, L.M., Reina-Tosina, J., Estudillo-Valderrama, M.A.: Som: a smart sensor for human activity monitoring and assisted healthy ageing. IEEE Trans. Biomed. Eng. 59(11), 3177\u20133184 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"72_CR34","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1186\/1743-0003-9-21","volume":"9","author":"S Patel","year":"2012","unstructured":"Patel, S., Park, H., Bonato, P., Chan, L., Rodgers, M.: A review of wearable sensors and systems with application in rehabilitation. J. Neuroeng. Rehabil. 9(1), 21 (2012)","journal-title":"J. Neuroeng. Rehabil."},{"key":"72_CR35","unstructured":"Poushter, J.: Smartphone ownership and internet usage continues to climb in emerging economies (2016). \n                    http:\/\/www.pewglobal.org\/2016\/02\/22\/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies"},{"key":"72_CR36","first-page":"1541","volume":"5","author":"N Ravi","year":"2005","unstructured":"Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity recognition from accelerometer data. Aaai 5, 1541\u20131546 (2005)","journal-title":"Aaai"},{"key":"72_CR37","doi-asserted-by":"crossref","unstructured":"Song, S.k., Jang, J., Park, S.: A phone for human activity recognition using triaxial acceleration sensor. In: International Conference on Consumer Electronics, ICCE 2008. Digest of Technical Papers, pp. 1\u20132. IEEE (2008)","DOI":"10.1109\/ICCE.2008.4587903"},{"issue":"3","key":"72_CR38","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1109\/TASE.2013.2256349","volume":"10","author":"D Trabelsi","year":"2013","unstructured":"Trabelsi, D., Mohammed, S., Chamroukhi, F., Oukhellou, L., Amirat, Y.: An unsupervised approach for automatic activity recognition based on hidden markov model regression. IEEE Trans. Autom. Sci. Eng. 10(3), 829\u2013835 (2013)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"72_CR39","doi-asserted-by":"crossref","unstructured":"Weng, S., Xiang, L., Tang, W., Yang, H., Zheng, L., Lu, H., Zheng, H.: A low power and high accuracy mems sensor based activity recognition algorithm. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 33\u201338. IEEE (2014)","DOI":"10.1109\/BIBM.2014.6999238"},{"key":"72_CR40","doi-asserted-by":"crossref","unstructured":"Wilson, J., Najjar, N., Hare, J., Gupta, S.: Human activity recognition using lzw-coded probabilistic finite state automata. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3018\u20133023. IEEE (2015)","DOI":"10.1109\/ICRA.2015.7139613"},{"issue":"12","key":"72_CR41","doi-asserted-by":"publisher","first-page":"2048","DOI":"10.3390\/s16122048","volume":"16","author":"H Xu","year":"2016","unstructured":"Xu, H., Liu, J., Hu, H., Zhang, Y.: Wearable sensor-based human activity recognition method with multi-features extracted from hilbert-huang transform. Sensors 16(12), 2048 (2016)","journal-title":"Sensors"},{"key":"72_CR42","doi-asserted-by":"crossref","unstructured":"Xu, W., Zhang, M., Sawchuk, A.A., Sarrafzadeh, M.: Co-recognition of human activity and sensor location via compressed sensing in wearable body sensor networks. In: Ninth International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 124\u2013129. IEEE (2012)","DOI":"10.1109\/BSN.2012.14"},{"key":"72_CR43","doi-asserted-by":"crossref","unstructured":"Yan, Z., Subbaraju, V., Chakraborty, D., Misra, A., Aberer, K.: Energy-efficient continuous activity recognition on mobile phones: an activity-adaptive approach. In: 16th International Symposium on Wearable Computers (ISWC), pp. 17\u201324. IEEE (2012)","DOI":"10.1109\/ISWC.2012.23"},{"key":"72_CR44","doi-asserted-by":"crossref","unstructured":"Ye, L., Ferdinando, H., Sepp\u00e4nen, T., Huuki, T., Alasaarela, E.: An instance-based physical violence detection algorithm for school bullying prevention. In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1384\u20131388. IEEE (2015)","DOI":"10.1109\/IWCMC.2015.7289284"},{"issue":"3","key":"72_CR45","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1109\/JBHI.2013.2253613","volume":"17","author":"M Zhang","year":"2013","unstructured":"Zhang, M., Sawchuk, A.A.: Human daily activity recognition with sparse representation using wearable sensors. IEEE J. Biomed. Health Inf. 17(3), 553\u2013560 (2013)","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"72_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, S., McCullagh, P., Nugent, C., Zheng, H.: Activity monitoring using a smart phone\u2019s accelerometer with hierarchical classification. In: 2010 Sixth International Conference on Intelligent Environments (IE), pp. 158\u2013163. IEEE (2010)","DOI":"10.1109\/IE.2010.36"},{"key":"72_CR47","doi-asserted-by":"crossref","unstructured":"Zhu, C., Sheng, W.: Human daily activity recognition in robot-assisted living using multi-sensor fusion. In: IEEE International Conference on Robotics and Automation, ICRA 2009, pp. 2154\u20132159. IEEE (2009)","DOI":"10.1109\/ROBOT.2009.5152756"},{"issue":"2","key":"72_CR48","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.pmcj.2010.11.004","volume":"7","author":"C Zhu","year":"2011","unstructured":"Zhu, C., Sheng, W.: Motion-and location-based online human daily activity recognition. Pervasive Mob. Comput. 7(2), 256\u2013269 (2011)","journal-title":"Pervasive Mob. Comput."}],"container-title":["Advances in Intelligent Systems and Computing","The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14118-9_72","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T02:59:15Z","timestamp":1558148355000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-14118-9_72"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,17]]},"ISBN":["9783030141172","9783030141189"],"references-count":48,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14118-9_72","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,3,17]]},"assertion":[{"value":"17 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AMLTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Machine Learning Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 March 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"amlta2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/egyptscience.net\/AMLTA19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}