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Physical Activity Recognition Using Posterior-Adapted Class-Based Fusion of Multiaccelerometer Data

  • Published:2018-05 Issue:3 Volume:22 Page:678-685
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Chowdhury Alok Kumar,Tjondronegoro DianORCID,Chandran Vinod,Trost Stewart G.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Cited by 58 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. Multi-sensor fusion based optimized deep convolutional neural network for boxing punch activity recognition;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2024-03-13

2. Emerging methods for measuring physical activity using accelerometry in children and adolescents with neuromotor disorders: a narrative review;Journal of NeuroEngineering and Rehabilitation;2024-02-29

3. Identification of Human Movement Through a Novel Machine Learning Approach;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

4. Real-Time Human Activity Recognition Using Dimensionality Reduction in Wireless Multimedia Sensor Networks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Statistical Database of Human Motion Recognition Using Wearable IoT—A Review;IEEE Sensors Journal;2023-07-15
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