Affiliation:
1. RMK College of Engineering and Technology, India
2. SRM Institute of Science and Technology, India
3. Amrita School of Computing, India
4. RMK Engineering College, India
Abstract
IoT is revolutionizing healthcare, especially for geriatric individuals in smart homes, prioritizing personalized, preventive, and comprehensive treatment. This research aims to create an intelligent environment for adaptable living, incorporating cutting-edge assistive technologies. The system includes features like medicine prompts, schedulers, fitness monitors, and improved fall detection, operating efficiently for up to seven days without battery replacement. To safeguard patient information, an ECDH module reduces latency by 77.78% compared to alternatives, ensuring security and efficiency. With user-friendly interfaces and adaptive functionalities, seamless user experience and accessibility are prioritized.
Reference30 articles.
1. Enabling Technologies for Smart City Services and Applications
2. Bhoi, S. K., Panda, S. K., Patra, B., Pradhan, B., Priyadarshinee, P., Tripathy, S., Mallick, C., Singh, M., & Khilar, P. M. (2018) FallDS-IoT: A fall detection system for elderly healthcare based on IoT Data analytics. International Conference on Information Technology (ICIT), 155–160. DOI: 10.1109/ICIT.2018.00041
3. Ambient Assisted Living Technologies for Aging Well: A Scoping Review
4. Fall detection system for elderly people using IoT and Big Data
5. Step counting using smartphone accelerometer and fast Fourier transform.;A. C.Dirican;Sigma Journal of Engineering and Natural Sciences,2017