Smart Band for Senior Citizens
GOSU KRISHNA KIRITI, Maneesh Gourishetty, Cheepi Vignesh, Poluri Yogendra Reddy, Allamreddygari Jagannath Reddy, Manchalla O V P Kumar · 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) · 2022
Senior citizens may be physically slow but deserve all the health care attention in their elderly ages. Fainting and being unmindful are two major concerns for senior citizens. Fall identification is a significant test in the public medical services area, particularly for the elderly people as the decrease in their actual wellness, and convenient and dependable observation is important to moderate the adverse consequences of falls. The main aim of this research is to develop a wearable device that monitors senior citizens and uses machine learning algorithms for detecting their falls and sending alerts to the caretaker. Our system provides boundary-less communication between the primary person and his caretaker. The models are trained and tested on the dataset generated by collecting various values from Accelerometer sensor for different kinds of actions [walking, falling, and seating]. Moreover, our system monitors the body parameters like temperature, Heartbeat, and SpO2 levels of the senior citizens and also provides the facility for the remainder system.