Fall Detection of the Elderly Using Denoising LSTM-Based Convolutional Variant Autoencoder
Author:
Affiliation:
1. Department of Computer Engineering, Gachon University, Seongnam, South Korea
Funder
National Research Foundation of Korea funded by the Ministry of Science and Information and Communications Technology
Gachon University Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10546898/10508748.pdf?arnumber=10508748
Reference54 articles.
1. IR-ST: A Lightweight Transformer Network for Human Fall Detection Based on FMCW Radar
2. Real World Evidence of Wearable Smartbelt for Mitigation of Fall Impact in Older Adult Care
3. A Fall Risk Assessment Model for Community-Dwelling Elderly Individuals Based on Gait Parameters
4. A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors
5. Tracking of Fall Detection Using IMU Sensor: An IoHT Application
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