IOT Enabled Human Fall Detection Using Accelerometer and RFID Technology
Bharati Kaudki, Anil Surve · 2018
Intelligence and awareness of human activity is a key exploration point for a broad field of extensive utilization such as remotely monitoring the health of the elder people, detecting the falls and ambulatory monitoring. Human activity recognition achieved demand because of its wide application in the automatic retrieval of videos of particular activity using various optical features. Despite research done in past, the computer vision techniques which are being used nowadays create a problem such as confidentiality. In this paper a fall detection system is designed to monitor the elder people that are based on the accelerometer sensor and RFID technology, operating through indoor and outdoor tracking using the embedded system with the thresholds. The falls can be detected of the elder people who are living alone in the home and the person who is handicapped can have certain incidents like falling so to monitor the elder people activities this paper presents the accelerometer sensor and the RFID technology using this technology the activities of the elder people can identify.