A Hybrid Deep Learning Model for Human Activity Recognition and Fall Detection for the Elderly
Author:
Affiliation:
1. Mohamed bin Zayed University of Artificial Intelligence,Masdar City,Abu Dhabi,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10171833/10171851/10171926.pdf?arnumber=10171926
Reference24 articles.
1. Accelerometer-based human fall detection using sparrow search algorithm and back propagation neural network
2. Comparative study of machine learning and deep learning architecture for human activity recognition using accelerometer data;shakya;International Journal of Machine Learning and Computing,2018
3. Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review
4. A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
5. Performance evaluation of Machine Learning algorithms on System on Chips in Wearables for Healthcare Monitoring
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