Enhanced SHL Recognition Using Machine Learning and Deep Learning Models with Multi-source Data-Reference-Cited by-同舟云学术

Enhanced SHL Recognition Using Machine Learning and Deep Learning Models with Multi-source 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:

Li Mengyuan¹^ORCID,Zhu Jun¹^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

the MOE Project of Key Research Institute of Humanities and Social Sciences

Publisher

ACM

Link

Reference13 articles.

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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