{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T12:54:04Z","timestamp":1725972844468},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811088896"},{"type":"electronic","value":"9789811088902"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-981-10-8890-2_19","type":"book-chapter","created":{"date-parts":[[2018,3,27]],"date-time":"2018-03-27T11:54:25Z","timestamp":1522151665000},"page":"271-282","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["CHAR-HMM: An Improved Continuous Human Activity Recognition Algorithm Based on Hidden Markov Model"],"prefix":"10.1007","author":[{"given":"Chuangui","family":"Yang","sequence":"first","affiliation":[]},{"given":"Zhu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Botao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shizhuo","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Guangxin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yuru","family":"Kang","sequence":"additional","affiliation":[]},{"given":"Huichao","family":"Men","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,28]]},"reference":[{"issue":"5","key":"19_CR1","doi-asserted-by":"crossref","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., et al.: 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."},{"issue":"6","key":"19_CR2","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1016\/j.engappai.2011.04.010","volume":"24","author":"M Alaqtash","year":"2011","unstructured":"Alaqtash, M., Yu, H., Brower, R., et al.: Application of wearable sensors for human gait analysis using fuzzy computational algorithm. Eng. Appl. Artif. Intell. 24(6), 1018\u20131025 (2011)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"6","key":"19_CR3","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1016\/j.apmr.2010.12.040","volume":"92","author":"VH Cheung","year":"2011","unstructured":"Cheung, V.H., Gray, L., Karunanithi, M.: Review of accelerometry for determining daily activity among elderly patients. Arch. Phys. Med. Rehabil. 92(6), 998\u20131014 (2011)","journal-title":"Arch. Phys. Med. Rehabil."},{"issue":"5","key":"19_CR4","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1061\/(ASCE)CP.1943-5487.0000097","volume":"25","author":"L Joshua","year":"2010","unstructured":"Joshua, L., Varghese, K.: Accelerometer-based activity recognition in construction. J. Comput. Civil Eng. 25(5), 370\u2013379 (2010)","journal-title":"J. Comput. Civil Eng."},{"issue":"8","key":"19_CR5","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s00779-011-0403-3","volume":"15","author":"MW Lee","year":"2011","unstructured":"Lee, M.W., Khan, A.M., Kim, T.S.: A single tri-axial accelerometer-based real-time personal life log system capable of human activity recognition and exercise information generation. Pers. Ubiquit. Comput. 15(8), 887\u2013898 (2011)","journal-title":"Pers. Ubiquit. Comput."},{"issue":"17","key":"19_CR6","doi-asserted-by":"crossref","first-page":"3543","DOI":"10.1016\/j.neucom.2011.06.023","volume":"74","author":"JX Peng","year":"2011","unstructured":"Peng, J.X., Ferguson, S., Rafferty, K., et al.: An efficient feature selection method for mobile devices with application to activity recognition. Neurocomputing 74(17), 3543\u20133552 (2011)","journal-title":"Neurocomputing"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Beily, M.D.E., Badjowawo, M.D., Bekak, D.O., et al.: A sensor based on recognition activities using smartphone. In: 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA), pp. 393\u2013398. IEEE (2016)","DOI":"10.1109\/ISITIA.2016.7828692"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Kurban, O.C., Yildirim, T.: Neural network based daily activity recognition without feature extraction. In: 2014 22nd Signal Processing and Communications Applications Conference (SIU), pp. 567\u2013570. IEEE (2014)","DOI":"10.1109\/SIU.2014.6830292"},{"issue":"4","key":"19_CR9","first-page":"788","volume":"63","author":"J Margarito","year":"2016","unstructured":"Margarito, J., Helaoui, R., Bianchi, A.M., et al.: 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":"19_CR10","doi-asserted-by":"crossref","unstructured":"Piyathilaka, L., Kodagoda, S.: Gaussian mixture based HMM for human daily activity recognition using 3D skeleton features. In: 2013 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 567\u2013572. IEEE (2013)","DOI":"10.1109\/ICIEA.2013.6566433"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Nickel, C., Busch, C., Rangarajan, S., et al.: Using hidden markov models for accelerometer-based biometric gait recognition. In: 2011 IEEE 7th International Colloquium on Signal Processing and its Applications (CSPA), pp. 58\u201363. IEEE (2011)","DOI":"10.1109\/CSPA.2011.5759842"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Cheng, L., Guan, Y., Zhu, K., et al.: Recognition of human activities using machine learning methods with wearable sensors. In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pp. 1\u20137. IEEE (2017)","DOI":"10.1109\/CCWC.2017.7868369"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Nickel, C., Brandt, H., Busch, C.: Benchmarking the performance of SVMs and HMMs for accelerometer-based biometric gait recognition. In: 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 281\u2013286. IEEE (2011)","DOI":"10.1109\/ISSPIT.2011.6151574"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Wang, J., Chen, R., Sun, X., et al.: Generative models for automatic recognition of human daily activities from a single triaxial accelerometer. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136. IEEE (2012)","DOI":"10.1109\/IJCNN.2012.6252529"},{"issue":"1","key":"19_CR15","first-page":"81","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"key":"19_CR16","volume-title":"Support-Vector Networks","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-Vector Networks. Kluwer Academic Publishers, Boston (1995)"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, p. 252. IEEE Xplore (1999)","DOI":"10.1109\/CVPR.1999.784637"},{"issue":"1","key":"19_CR18","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MASSP.1986.1165342","volume":"3","author":"LR Rabiner","year":"1986","unstructured":"Rabiner, L.R., Juang, B.H.: An introduction to hidden Markov models. IEEE ASSP Mag. 3(1), 4\u201316 (1986)","journal-title":"IEEE ASSP Mag."},{"issue":"2","key":"19_CR19","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(2), 179\u2013188 (1936)","journal-title":"Ann. Eugen."}],"container-title":["Communications in Computer and Information Science","Mobile Ad-hoc and Sensor Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-8890-2_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,13]],"date-time":"2019-10-13T14:01:34Z","timestamp":1570975294000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-8890-2_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811088896","9789811088902"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-8890-2_19","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}