Real-Time Human Fall Recognition based on Deep Learning Methods and Single Depth Image with Privacy Requirements
Author:
Affiliation:
1. Institute of Robotics and Automatic Information System Nankai University,College of Artificial Intelligence,Tianjin,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10023546/10022325/10023843.pdf?arnumber=10023843
Reference23 articles.
1. Fall detection system based on real-time pose estimation and SVM
2. Deep Neural Network–Based Double-Check Method for Fall Detection Using IMU-L Sensor and RGB Camera Data
3. Human Fall Detection Algorithm Based on YOLOv3
4. Three-States-Transition Method for Fall Detection Algorithm Using Depth Image
5. A RealTime Position Monitoring System For Fall Detection and Analysis Using Human Pose Estimation;pires;2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE),2021
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1. A novel model for fall detection and action recognition combined lightweight 3D-CNN and convolutional LSTM networks;Pattern Analysis and Applications;2024-02-15
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