Cross dataset non-binary fall detection using a ConvLSTM-attention network
Author:
Affiliation:
1. University of Louisville,Computer Science and Engineering,Louisville,USA
2. Hood College,Department of Computer Science and Information Technology,Frederick,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008565.pdf?arnumber=10008565
Reference23 articles.
1. The MobiAct Dataset: Recognition of Activities of Daily Living using Smartphones
2. A Smartphone Application for Fall Detection Using Accelerometer and ConvLSTM Network
3. Applying deep learning technology for automatic fall detection using mobile sensors
4. A Novel Feature Set Extraction Based on Accelerometer Sensor Data for Improving the Fall Detection System
5. SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
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1. CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection;Biomedical Signal Processing and Control;2024-10
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