A Post-processing Machine Learning for Activity Recognition Challenge with OpenStreetMap Data-Reference-Cited by-同舟云学术

A Post-processing Machine Learning for Activity Recognition Challenge with OpenStreetMap Data

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
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Author:

Huang Shiyao¹^ORCID,Lyu Junliang¹^ORCID,Zhang Sinian¹^ORCID,Tang Ruiying¹^ORCID,Xiao Huan¹^ORCID,Zhang Yuanyuan²^ORCID,Lu Xiaoling¹^ORCID

Affiliation:

1. Center for Applied Statistics, School of Statistics, Renmin University of China, China

2. Baixingkefu Network Technology Co., Ltd., China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594739.3610755

Reference12 articles.

1. Gulustan Dogan , Iremnaz Cay , Sinem Sena Ertas , Şeref Recep Keskin , Nouran Alotaibi , and Elif Sahin . 2020 . Where are you? Human activity recognition with smartphone sensor data . 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. 301–304 . Gulustan Dogan, Iremnaz Cay, Sinem Sena Ertas, Şeref Recep Keskin, Nouran Alotaibi, and Elif Sahin. 2020. Where are you? Human activity recognition with smartphone sensor data. 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. 301–304.

2. Combining LSTM and CNN for mode of transportation classification from smartphone sensors

3. The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices

4. Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks

5. Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors

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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