IoT-Cloud Integration with Reinforcement Learning for Elderly Fall Detection
- Resource Type
- Conference
- Authors
- Bhardwaj, Diwakar; Bordoloi, Dibyhash; Deepak, A.; Srivastava, Arun Pratap; Mayuri, K; Khan, Akhilesh Kumar
- Source
- 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), 2023 International Conference on. 1:1-6 Dec, 2023
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Industries
Technological innovation
Philosophical considerations
Medical services
Reinforcement learning
Fall detection
Older adults
IoT
RL
Cloud Infrastructure
Fall Detection Algorithms
Alarming
Elderly Individuals
- Language
This project greatly contributes to the integration of IOT systems for the actual development of fall detection mechanisms with advanced RL algorithms. Hence the IOT system mainly prefers the healthcare system for elderly individuals. The individual responses are evaluated according to the major development of fall detection algorithms. A brief introduction is given here with a brief overview of IOT-cloud formation and its theoretical frameworks related to the maximum usage of RL algorithms. The methodology part shows the philosophy, approach, and design part of elderly fall detection. Hence the thematic analysis is provided to make a descriptive result of IOT-cloud integration with RL algorithms for elderly fall detection with an efficient mechanism of fall detection algorithms and alarm structures.