Subject-Dependent Physical Activity Recognition Model Framework with a Semi-supervised Clustering Approach
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6777804/6779803/06779819.pdf?arnumber=6779819
Cited by 6 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. Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review;Journal of Medical Internet Research;2024-09-11
2. Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns;Journal of Medical Internet Research;2022-11-04
3. Ambient Assisted Living: A Scoping Review of Artificial Intelligence Models, Domains, Technology and Concerns (Preprint);2022-01-17
4. Comparison of phenotypic and marker-assisted selection in Turkish cultivars and global genotypes of chickpea for resistance to pathotypes of Ascochytarabiei (Pass.) Labr.;TURKISH JOURNAL OF AGRICULTURE AND FORESTRY;2021-02-10
5. A performance comparison of machine learning classification approaches for robust activity of daily living recognition;Artificial Intelligence Review;2018-03-06
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