{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T11:52:19Z","timestamp":1725882739640},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811041532"},{"type":"electronic","value":"9789811041549"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-4154-9_4","type":"book-chapter","created":{"date-parts":[[2017,3,17]],"date-time":"2017-03-17T04:29:21Z","timestamp":1489724961000},"page":"30-37","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Mobile Online Vehicle Status Awareness Method Using Smartphone Sensors"],"prefix":"10.1007","author":[{"given":"Dang-Nhac","family":"Lu","sequence":"first","affiliation":[]},{"given":"Thi-Thu-Trang","family":"Ngo","sequence":"additional","affiliation":[]},{"given":"Duc-Nhan","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Thi-Hau","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Ha-Nam","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,18]]},"reference":[{"issue":"6","key":"4_CR1","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1016\/j.medengphy.2014.02.009","volume":"36","author":"JJ Guiry","year":"2014","unstructured":"Guiry, J.J., et al.: Activity recognition with smartphone support. Med. Eng. Phys. 36(6), 670\u2013675 (2014)","journal-title":"Med. Eng. Phys."},{"key":"4_CR2","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.neucom.2016.08.077","volume":"218","author":"J Wen","year":"2016","unstructured":"Wen, J., Wang, Z.: Sensor-based adaptive activity recognition with dynamically available sensors. Neurocomputing 218, 307\u2013317 (2016)","journal-title":"Neurocomputing"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Shoaib, M., Scholten, H., Havinga, P.J.: Towards physical activity recognition using smartphone sensors. In: 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 10th International Conference on Autonomic and Trusted Computing (UIC\/ATC). IEEE (2013)","DOI":"10.1109\/UIC-ATC.2013.43"},{"key":"4_CR4","series-title":"IFMBE Proceedings","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1007\/978-3-319-11776-8_119","volume-title":"5th International Conference on Biomedical Engineering in Vietnam","author":"VNT Sang","year":"2015","unstructured":"Sang, V.N.T., Thang, N.D., Toi, V., Hoang, N.D., Khoa, T.Q.D.: Human activity recognition and monitoring using smartphones. In: Toi, V.V., Lien Phuong, T.H. (eds.) 5th International Conference on Biomedical Engineering in Vietnam. IP, vol. 46, pp. 481\u2013485. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-11776-8_119"},{"key":"4_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10462-016-9467-9","volume":"46","author":"Z Halim","year":"2016","unstructured":"Halim, Z., et al.: Artificial intelligence techniques for driving safety and vehicle crash prediction. Artif. Intell. Rev. 46, 1\u201337 (2016)","journal-title":"Artif. Intell. Rev."},{"key":"4_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-3-319-31854-7_3","volume-title":"Human Centered Computing","author":"L Cui","year":"2016","unstructured":"Cui, L., Li, S., Zhu, T.: Emotion detection from natural walking. In: Zu, Q., Hu, B. (eds.) HCC 2016. LNCS, vol. 9567, pp. 23\u201333. Springer, Heidelberg (2016). doi: 10.1007\/978-3-319-31854-7_3"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Berchtold, M., et al.: Actiserv: activity recognition service for mobile phones. In: International Symposium on Wearable Computers (ISWC). IEEE (2010)","DOI":"10.1109\/ISWC.2010.5665868"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Randell, C., Muller, H.: Context awareness by analysing accelerometer data. In: The Fourth International Symposium on Wearable Computers. IEEE (2000)","DOI":"10.1109\/ISWC.2000.888488"},{"issue":"5","key":"4_CR9","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/BF02347551","volume":"42","author":"M Mathie","year":"2004","unstructured":"Mathie, M., et al.: Classification of basic daily movements using a triaxial accelerometer. Med. Biol. Eng. Comput. 42(5), 679\u2013687 (2004)","journal-title":"Med. Biol. Eng. Comput."},{"key":"4_CR10","unstructured":"Schmidt, A.: Ubiquitous computing-computing in context. Lancaster University (2003)"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Healey, J., Logan, B.: Wearable wellness monitoring using ECG and accelerometer data. In: Ninth IEEE International Symposium on Wearable Computers (ISWC 2005). IEEE (2005)","DOI":"10.1109\/ISWC.2005.59"},{"issue":"7","key":"4_CR12","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1007\/s00779-010-0293-9","volume":"14","author":"D Figo","year":"2010","unstructured":"Figo, D., et al.: Preprocessing techniques for context recognition from accelerometer data. Pers. Ubiquit. Comput. 14(7), 645\u2013662 (2010)","journal-title":"Pers. Ubiquit. Comput."},{"key":"4_CR13","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.procs.2015.01.031","volume":"46","author":"G Chetty","year":"2015","unstructured":"Chetty, G., White, M., Akther, F.: Smart phone based data mining for human activity recognition. Procedia Comput, Sci. 46, 1181\u20131187 (2015)","journal-title":"Procedia Comput, Sci."},{"key":"4_CR14","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.pmcj.2012.11.004","volume":"10","author":"G Okeyo","year":"2014","unstructured":"Okeyo, G., et al.: Dynamic sensor data segmentation for real-time knowledge-driven activity recognition. Pervasive Mob. Comput. 10, 155\u2013172 (2014)","journal-title":"Pervasive Mob. Comput."},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Gomes, J.B., et al.: Mars: a personalised mobile activity recognition system. In: 2012 IEEE 13th International Conference on Mobile Data Management. IEEE (2012)","DOI":"10.1109\/MDM.2012.33"}],"container-title":["Lecture Notes in Electrical Engineering","Information Science and Applications 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-4154-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T12:49:06Z","timestamp":1498394946000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-4154-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811041532","9789811041549"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-4154-9_4","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2017]]}}}