Subject-Independent Slow Fall Detection with Wearable Sensors via Deep Learning-Reference-Cited by-同舟云学术

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Subject-Independent Slow Fall Detection with Wearable Sensors via Deep Learning

Published:2020-10-25 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE SENSORS
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Author:

Chen Xiaoshuai,Jiang Shuo,Lo Benny

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9278450/9278578/09278625.pdf?arnumber=9278625

Cited by 23 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. Context-Aware Hard and Slow Fall Detection;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

2. Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports;ACM Computing Surveys;2024-04-09

3. Smart-Wearable Sensors and CNN-BiGRU Model: A Powerful Combination for Human Activity Recognition;IEEE Sensors Journal;2024-01-15

4. Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

5. Optimized Fall Detection Algorithm with Adaptive Sum Vector Magnitude and Axis-Weighted Features from Wearable Accelerometer Data;Lecture Notes in Networks and Systems;2024

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