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However, they face significant challenges in capturing multi-modal spatial-temporal patterns from the sensory data, and they commonly overlook the variants between subjects. We propose a Discriminative Adversarial MUlti-view Network (DAMUN) to address the above issues in sensor-based HAR. We first design a multi-view feature extractor to obtain representations of sensory data streams from temporal, spatial, and spatio-temporal views using convolutional networks. Then, we fuse the multi-view representations into a robust joint representation through a trainable Hadamard fusion module, and finally employ a Siamese adversarial network architecture to decrease the variants between the representations of different subjects. We have conducted extensive experiments under an iterative left-one-subject-out setting on three real-world datasets and demonstrated both the effectiveness and robustness of our approach.<\/jats:p>","DOI":"10.1145\/3397323","type":"journal-article","created":{"date-parts":[[2020,6,15]],"date-time":"2020-06-15T22:30:37Z","timestamp":1592260237000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["Adversarial Multi-view Networks for Activity Recognition"],"prefix":"10.1145","volume":"4","author":[{"given":"Lei","family":"Bai","sequence":"first","affiliation":[{"name":"the University of New South Wales, Sydney, Australia"}]},{"given":"Lina","family":"Yao","sequence":"additional","affiliation":[{"name":"the University of New South Wales, Sydney, Australia"}]},{"given":"Xianzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}]},{"given":"Salil S.","family":"Kanhere","sequence":"additional","affiliation":[{"name":"the University of New South Wales, Sydney, Australia"}]},{"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}]},{"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}]}],"member":"320","published-online":{"date-parts":[[2020,6,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351229"},{"key":"e_1_2_1_2_1","unstructured":"Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra and Jorge Luis Reyes-Ortiz. 2013. 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