A rehabilitation activity monitoring method based on Shallow-CNN-Reference-Cited by-同舟云学术

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A rehabilitation activity monitoring method based on Shallow-CNN

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Wu Sisi¹,Huang Tianyu¹,Li Yihao¹

Affiliation:

1. Beijing Institute of Technology,School of Computer Science,Beijing,China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995387.pdf?arnumber=9995387

Reference39 articles.

1. Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method

2. An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

3. A CNN-based Human Activity Recognition System Combining a Laser Feedback Interferometry Eye Movement Sensor and an IMU for Context-aware Smart Glasses

4. An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors

5. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Cited by 1 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. Research on Common Structure of Motion Data;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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