Phased Human Activity Recognition based on GPS
Author:
Affiliation:
1. Tokyo Denki University and Tokyo Denki University, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3460418.3479382
Reference5 articles.
1. The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices
2. Ryoichi Sekiguchi Kenji Abe Takumi Yokoyama Masayasu Kumano and Masaki Kawakatsu. 2020. Ensemble Learning for Human Activity Recognition. In 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(Virtual Event Mexico) (UbiComp-ISWC ’20). Association for Computing Machinery New York NY USA 335–339. https://doi.org/10.1145/3410530.3414346 Ryoichi Sekiguchi Kenji Abe Takumi Yokoyama Masayasu Kumano and Masaki Kawakatsu. 2020. Ensemble Learning for Human Activity Recognition. In 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(Virtual Event Mexico) (UbiComp-ISWC ’20). Association for Computing Machinery New York NY USA 335–339. https://doi.org/10.1145/3410530.3414346
3. Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset
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