{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:04Z","timestamp":1750220404081,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China under Grant","award":["No.61903373;No. 62002372"],"award-info":[{"award-number":["No.61903373;No. 62002372"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,21]]},"DOI":"10.1145\/3460418.3479383","type":"proceedings-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T17:56:41Z","timestamp":1632506201000},"page":"408-411","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge"],"prefix":"10.1145","author":[{"given":"Aosheng","family":"Tian","sequence":"first","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, China"}]},{"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, China"}]},{"given":"Huiling","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, China"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, China"}]},{"given":"Shilin","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"164","article-title":"Walker","volume":"54","author":"Carrel Andr\u00e9","year":"2013","unstructured":"[1]Vij, Akshay, Andr\u00e9 Carrel , and Joan L . Walker . \u201dIncorporating the influence of latent modal preferences on travel mode choice behavior.\u201d Transportation Research Part A: Policy and Practice 54 ( 2013 ): 164 - 178 . [1]Vij, Akshay, Andr\u00e9 Carrel, and Joan L. Walker. \u201dIncorporating the influence of latent modal preferences on travel mode choice behavior.\u201d Transportation Research Part A: Policy and Practice 54 (2013): 164-178.","journal-title":"Transportation Research Part A: Policy and Practice"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2015.04.001"},{"key":"e_1_3_2_1_3_1","volume-title":"Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework","author":"Tan Huachun","year":"2016","unstructured":"[3]Wu, Yuankai, and Huachun Tan . \u201d Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework .\u201d arXiv preprint arXiv:1612.01022 ( 2016 ). [3]Wu, Yuankai, and Huachun Tan. \u201dShort-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework.\u201d arXiv preprint arXiv:1612.01022 (2016)."},{"key":"e_1_3_2_1_4_1","volume-title":"Research at Locate","author":"Deb Rahul","year":"2015","unstructured":"[4]Das, Rahul Deb , Nicole Ronald , and Stephan Winter . \u201d A Simulation Study on Automated Transport Mode Detection in Near-Real Time Using a Neural Network .\u201d Research at Locate ( 2015 ). [4]Das, Rahul Deb, Nicole Ronald, and Stephan Winter. \u201dA Simulation Study on Automated Transport Mode Detection in Near-Real Time Using a Neural Network.\u201d Research at Locate (2015)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/app7090923"},{"volume-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.","year":"2020","key":"e_1_3_2_1_6_1","unstructured":"[6]Wang, Lin, \u201d Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020 .\u201d 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. 2020 . [6]Wang, Lin, et al. \u201dSummary of the Sussex-Huawei locomotion-transportation recognition challenge 2020.\u201d 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. 2020."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858933"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2890793"},{"volume-title":"Proceedings of the IEEE international conference on computer vision.","year":"2017","key":"e_1_3_2_1_9_1","unstructured":"[9]Lin, Tsung-Yi, \u201d Focal loss for dense object detection .\u201d Proceedings of the IEEE international conference on computer vision. 2017 . [9]Lin, Tsung-Yi, et al. \u201dFocal loss for dense object detection.\u201d Proceedings of the IEEE international conference on computer vision. 2017."},{"volume-title":"Attention is all you need","year":"2017","key":"e_1_3_2_1_10_1","unstructured":"[10]Vaswani, Ashish, \u201d Attention is all you need .\u201d arXiv preprint arXiv:1706.03762 ( 2017 ). [10]Vaswani, Ashish, et al. \u201dAttention is all you need.\u201d arXiv preprint arXiv:1706.03762 (2017)."},{"volume-title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation","year":"2014","key":"e_1_3_2_1_11_1","unstructured":"[11]Cho, Kyunghyun, \u201d Learning phrase representations using RNN encoder-decoder for statistical machine translation .\u201d arXiv preprint arXiv:1406.1078 ( 2014 ). [11]Cho, Kyunghyun, et al. \u201dLearning phrase representations using RNN encoder-decoder for statistical machine translation.\u201d arXiv preprint arXiv:1406.1078 (2014)."},{"issue":"2","key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Ensembles of deep lstm learners for activity recognition using wearables","volume":"1","author":"Pl\u00f6tz Thomas","year":"2017","unstructured":"[12]Guan, Yu, and Thomas Pl\u00f6tz . \u201d Ensembles of deep lstm learners for activity recognition using wearables .\u201d Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1 . 2 ( 2017 ): 1 - 28 . [12]Guan, Yu, and Thomas Pl\u00f6tz. \u201dEnsembles of deep lstm learners for activity recognition using wearables.\u201d Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1.2 (2017): 1-28.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_13_1","volume-title":"2016 International Joint Conference on Neural Networks (IJCNN). IEEE","author":"Choi Seungjin","year":"2016","unstructured":"[13]Ha, Sojeong, and Seungjin Choi . \u201d Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors .\u201d 2016 International Joint Conference on Neural Networks (IJCNN). IEEE , 2016 . [13]Ha, Sojeong, and Seungjin Choi. \u201dConvolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors.\u201d 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"[14]Ma Haojie etal \u201dAttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition.\u201d IJCAI. 2019  [14]Ma Haojie et al. \u201dAttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition.\u201d IJCAI. 2019","DOI":"10.24963\/ijcai.2019\/431"},{"volume-title":"ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis","year":"2011","key":"e_1_3_2_1_15_1","unstructured":"[15]Liu, Zhouyong, \u201d ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis .\u201d arXiv preprint arXiv: 2011 .10185 (2020). [15]Liu, Zhouyong, et al. \u201dConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis.\u201d arXiv preprint arXiv:2011.10185 (2020)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460418.3479373"}],"event":{"name":"UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Virtual USA","acronym":"UbiComp '21"},"container-title":["Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460418.3479383","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460418.3479383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:56Z","timestamp":1750191536000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460418.3479383"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,21]]},"references-count":16,"alternative-id":["10.1145\/3460418.3479383","10.1145\/3460418"],"URL":"https:\/\/doi.org\/10.1145\/3460418.3479383","relation":{},"subject":[],"published":{"date-parts":[[2021,9,21]]},"assertion":[{"value":"2021-09-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}