{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:38:30Z","timestamp":1767339510235,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"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":[[2020,9,10]]},"DOI":"10.1145\/3410530.3414346","type":"proceedings-article","created":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T19:56:35Z","timestamp":1599940595000},"page":"335-339","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Ensemble learning for human activity recognition"],"prefix":"10.1145","author":[{"given":"Ryoichi","family":"Sekiguchi","sequence":"first","affiliation":[{"name":"Tokyo Denki University, Tokyo, Japan"}]},{"given":"Kenji","family":"Abe","sequence":"additional","affiliation":[{"name":"Tokyo Denki University, Tokyo, Japan"}]},{"given":"Takumi","family":"Yokoyama","sequence":"additional","affiliation":[{"name":"Tokyo Denki University, Tokyo, Japan"}]},{"given":"Masayasu","family":"Kumano","sequence":"additional","affiliation":[{"name":"Tokyo Denki University, Tokyo, Japan"}]},{"given":"Masaki","family":"Kawakatsu","sequence":"additional","affiliation":[{"name":"Tokyo Denki University, Tokyo, Japan"}]}],"member":"320","published-online":{"date-parts":[[2020,9,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858933"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2890793"},{"key":"e_1_3_2_1_3_1","first-page":"1511","volume-title":"A new frontier for activity recognition: The sussex-huawei locomotion challenge","author":"Janko Vito","year":"2018","unstructured":"Vito Janko , Mitja Lustrek , Nina Re\u0161\u010di\u010d , Miha Mlakar , Vid Drobni\u010d , Matjaz Gams , Ga\u0161per Slapni\u010dar , Martin Gjoreski , Jani Bizjak , and Matej Marinko . A new frontier for activity recognition: The sussex-huawei locomotion challenge . pages 1511 -- 1520 , 10 2018 . Vito Janko, Mitja Lustrek, Nina Re\u0161\u010di\u010d, Miha Mlakar, Vid Drobni\u010d, Matjaz Gams, Ga\u0161per Slapni\u010dar, Martin Gjoreski, Jani Bizjak, and Matej Marinko. A new frontier for activity recognition: The sussex-huawei locomotion challenge. pages 1511--1520, 10 2018."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19102307"},{"key":"e_1_3_2_1_5_1","unstructured":"Chihiro Ito Masaki Shuzo and Eisaku Maeda. Cnn for human activity recognition on small datasets of acceleration and gyro sensors using transfer learning. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers UbiComp\/ISWC '19 Adjunct page 724--729 New York NY USA 2019. Association for Computing Machinery.  Chihiro Ito Masaki Shuzo and Eisaku Maeda. Cnn for human activity recognition on small datasets of acceleration and gyro sensors using transfer learning. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers UbiComp\/ISWC '19 Adjunct page 724--729 New York NY USA 2019. Association for Computing Machinery."},{"key":"e_1_3_2_1_6_1","volume-title":"RISP International Workshop on Nonlinear Circuits, 03","author":"Yoshida Keisuke","year":"2016","unstructured":"Keisuke Yoshida , Shogo Matsuno , and Minoru Ohyama . Highly accurate method for estimating movement state of smartphone users. In Communications and Signal Processing 2016 . RISP International Workshop on Nonlinear Circuits, 03 2016 . Keisuke Yoshida, Shogo Matsuno, and Minoru Ohyama. Highly accurate method for estimating movement state of smartphone users. In Communications and Signal Processing 2016. RISP International Workshop on Nonlinear Circuits, 03 2016."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3410530.3414341"}],"event":{"name":"UbiComp\/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Virtual Event Mexico","acronym":"UbiComp\/ISWC '20"},"container-title":["Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410530.3414346","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3410530.3414346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:59Z","timestamp":1750195919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410530.3414346"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,10]]},"references-count":7,"alternative-id":["10.1145\/3410530.3414346","10.1145\/3410530"],"URL":"https:\/\/doi.org\/10.1145\/3410530.3414346","relation":{},"subject":[],"published":{"date-parts":[[2020,9,10]]},"assertion":[{"value":"2020-09-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}