Summary of the sussex-huawei locomotion-transportation recognition challenge 2020

Author:

Wang Lin1,Gjoreski Hristijan2,Ciliberto Mathias3,Lago Paula4,Murao Kazuya5,Okita Tsuyoshi4,Roggen Daniel3

Affiliation:

1. Queen Mary University of London, UK

2. Ss. Cyril and Methodius University, MK

3. University of Sussex, UK

4. Kyushu Institute of Technology, Japan

5. Ritsumeikan University, Japan

Publisher

ACM

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

2. Enhancing Transportation Mode Detection using Multi-scale Sensor Fusion and Spatial-topological Attention;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

3. A perspective on human activity recognition from inertial motion data;Neural Computing and Applications;2023-07-31

4. Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

5. DMSTL: A Deep Multi-Scale Transfer Learning Framework for Unsupervised Cross-Position Human Activity Recognition;IEEE Internet of Things Journal;2023-01-01

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