Unsupervised Fall Detection on Edge Devices
Author:
Affiliation:
1. Keio University,Yokohama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10215492/10215533/10215993.pdf?arnumber=10215993
Reference16 articles.
1. Fall Detection from Thermal Camera Using Convolutional LSTM Autoencoder;nogas;Proceedings of the 2nd Workshop on Aging Rehabilitation and Independent Assisted Living IJCAI,2018
2. DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders
3. Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks
4. Fall Detection using Body Geometry in Video Sequences;romaissa;2020 Tenth International Conference on Image Processing Theory Tools and Applications (IPTA),2020
5. Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera
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