SMART TILES FOR ELDER TRACKING AND FALL DETECTION
R Lakshmi Prabha1, D Ajith Kumar2
1P.G Scholar, Dept. of Biomedical Engineering, Udaya School of Engineering, Vellamodi, Tamil Nadu, India
2 Assistant professor, Dept. of Biomedical Engineering, Udaya School of Engineering, Vellamodi, Tamil Nadu, India
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Abstract - The population of elderly people is increasing rapidly, and falls are a significant cause of injury and death among them. To address this issue, we propose a smart tile system that uses IoT technology to track the location and detect falls of elderly individuals. The system consists of small, wireless sensors (smart tiles) that can be placed on the floor of a room or a specific area, such as a bathroom or kitchen, to monitor the movements of the elderly person. The smart tiles communicate with a central hub, which collects and analyses the data using machine-learning algorithms to detect falls and abnormal movements. The proposed system has several advantages over traditional fall detection systems. It is non-intrusive and does not require any wearable devices or cameras, which can be uncomfortable or intrusive for the elderly person. The smart tiles can also be placed in multiple locations to provide more comprehensive coverage and can be easily installed or removed without the need for professional help. Additionally, the system can provide real-time alerts to caregivers or emergency services, enabling timely intervention and potentially reducing the severity of injuries. In conclusion, the smart tiles system proposed in this project provides an innovative solution to the problem of fall detection and elder tracking using IoT technology. It has the potential to improve the safety and well-being of elderly individuals and can be a valuable tool for caregivers and healthcare providers.
Key Words: Smart Tiles, Fall Detection, IoT, Arduino IDE, Proteus ISIS7.
