Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021-Reference-Cited by-同舟云学术

Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021

Published:2021-09-21 Issue: Volume: Page:
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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
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Author:

Wang Lin¹,Ciliberto Mathias²,Gjoreski Hristijan³,Lago Paula⁴,Murao Kazuya⁵,Okita Tsuyoshi⁶,Roggen Daniel²

Affiliation:

1. Queen Mary University of London, United Kingdom

2. University of Sussex, United Kingdom

3. Ss. Cyril and Methodius University, Macedonia, The Former Yugoslav Republic of

4. Universidad Nacional Abierta y a Distancia, Colombia

5. Ritsumeikan University, Japan

6. Kyushu Institute of Technology, Japan

Publisher

ACM

Link

Reference47 articles.

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5. Enhancing Locomotion Recognition with Specialized Features and Map Information via XGBoost;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