{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T08:33:08Z","timestamp":1758702788363,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T00:00:00Z","timestamp":1538956800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,8]]},"DOI":"10.1145\/3267305.3267503","type":"proceedings-article","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T19:05:14Z","timestamp":1541099114000},"page":"1396-1403","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["OpenHAR"],"prefix":"10.1145","author":[{"given":"Pekka","family":"Siirtola","sequence":"first","affiliation":[{"name":"Biomimetics and Intelligent, Systems Group, University of Oulu, University of Oulu, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heli","family":"Koskim\u00e4ki","sequence":"additional","affiliation":[{"name":"Biomimetics and Intelligent, Systems Group, University of Oulu, University of Oulu, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juha","family":"R\u00f6ning","sequence":"additional","affiliation":[{"name":"Biomimetics and Intelligent, Systems Group, University of Oulu, University of Oulu, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,10,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"ESANN","author":"Anguita D.","year":"2013","unstructured":"Anguita , D. , Ghio , A. , Oneto , L. , Parra , X. , and Reyes-Ortiz , J. L. A public domain dataset for human activity recognition using smartphones . In ESANN ( 2013 ). Anguita, D., Ghio, A., Oneto, L., Parra, X., and Reyes-Ortiz, J. L. A public domain dataset for human activity recognition using smartphones. In ESANN (2013)."},{"key":"e_1_3_2_1_2_1","volume-title":"Springer International Publishing (Cham","author":"Banos O.","year":"2014","unstructured":"Banos , O. , Garcia , R. , Holgado-Terriza , J. A. , Damas , M. , Pomares , H. , Rojas , I. , Saez , A. , and Villalonga , C . mhealthdroid: A novel framework for agile development of mobile health applications. In Ambient Assisted Living and Daily Activities, L. Pecchia, L. L. Chen, C. Nugent, and J. Bravo, Eds ., Springer International Publishing (Cham , 2014 ), 91--98. Banos, O., Garcia, R., Holgado-Terriza, J. A., Damas, M., Pomares, H., Rojas, I., Saez, A., and Villalonga, C. mhealthdroid: A novel framework for agile development of mobile health applications. In Ambient Assisted Living and Daily Activities, L. Pecchia, L. L. Chen, C. Nugent, and J. Bravo, Eds., Springer International Publishing (Cham, 2014), 91--98."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning","author":"Bartlett J.","year":"2017","unstructured":"Bartlett , J. , Prabhu , V. , and Whaley , J . Acctionnet: A dataset of human activity recognition using on-phone motion sensors . In Proceedings of the 34th International Conference on Machine Learning ( Sydney, Australia , 2017 ). Bartlett, J., Prabhu, V., and Whaley, J. Acctionnet: A dataset of human activity recognition using on-phone motion sensors. In Proceedings of the 34th International Conference on Machine Learning (Sydney, Australia, 2017)."},{"key":"e_1_3_2_1_4_1","volume-title":"International Conference on Analysis of Images, Social Networks and Texts","author":"Chereshnev R.","year":"2017","unstructured":"Chereshnev , R. , and Kert\u00e9sz-Farkas , A . Hugadb: Human gait database for activity recognition from wearable inertial sensor networks . In International Conference on Analysis of Images, Social Networks and Texts , Springer ( 2017 ), 131--141. Chereshnev, R., and Kert\u00e9sz-Farkas, A. Hugadb: Human gait database for activity recognition from wearable inertial sensor networks. In International Conference on Analysis of Images, Social Networks and Texts, Springer (2017), 131--141."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858933"},{"key":"e_1_3_2_1_6_1","volume-title":"Workshop on Mobile Sensing: From Smartphones and Wearables to Big Data","volume":"16","author":"Kose M.","year":"2012","unstructured":"Kose , M. , Incel , O. D. , and Ersoy , C . Online human activity recognition on smart phones . In Workshop on Mobile Sensing: From Smartphones and Wearables to Big Data , vol. 16 ( 2012 ), 11--15. Kose, M., Incel, O. D., and Ersoy, C. Online human activity recognition on smart phones. In Workshop on Mobile Sensing: From Smartphones and Wearables to Big Data, vol. 16 (2012), 11--15."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370441"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/app7101101"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/s140610146"},{"key":"e_1_3_2_1_11_1","volume-title":"26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018","author":"Siirtola P.","year":"2018","unstructured":"Siirtola , P. , Koskim\u00e4ki , H. , R\u00f6ning , and J. Personalizing human activity recognition models using incremental learning . In 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018 . ( April 25-27 2018 ), 627--632. Siirtola, P., Koskim\u00e4ki, H., R\u00f6ning, and J. Personalizing human activity recognition models using incremental learning. In 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018. (April 25-27 2018), 627--632."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5220\/0006553302910299"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIDM.2011.5949430"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.9781\/ijimai.2012.155"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809718"},{"key":"e_1_3_2_1_16_1","volume-title":"Comparison of offline and real-time human activity recognition results using machine learning techniques. Neural Computing and Applications","author":"Suto J.","year":"2018","unstructured":"Suto , J. , Oniga , S. , Lung , C. , and Orha , I . Comparison of offline and real-time human activity recognition results using machine learning techniques. Neural Computing and Applications ( 2018 ), 1--14. Suto, J., Oniga, S., Lung, C., and Orha, I. Comparison of offline and real-time human activity recognition results using machine learning techniques. Neural Computing and Applications (2018), 1--14."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2016.7456521"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5220\/0005792401430151"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370438"}],"event":{"name":"UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","University of Florida University of Florida","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Singapore Singapore","acronym":"UbiComp '18"},"container-title":["Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267305.3267503","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3267305.3267503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:21Z","timestamp":1750208241000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267305.3267503"}},"subtitle":["A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets"],"short-title":[],"issued":{"date-parts":[[2018,10,8]]},"references-count":19,"alternative-id":["10.1145\/3267305.3267503","10.1145\/3267305"],"URL":"https:\/\/doi.org\/10.1145\/3267305.3267503","relation":{},"subject":[],"published":{"date-parts":[[2018,10,8]]},"assertion":[{"value":"2018-10-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}