Elderly Person Monitoring System for Fall Detection using GSM GPS
S. Saravana1, S. Philomina2, M. Jasmine3, K. Subbulakshmi4
1S. Saravana Assistant Professor Department of Engineering and Communication Engineering, Bharath university of Higher education and Research Chennai, (Tamil Nadu), India.
2S. Philomina, Assistant Professor Department of Engineering and Communication Engineering, Bharath university of Higher education and Research Chennai, (Tamil Nadu), India.
3M. Jasmin, Assistant Professor Department of Engineering and Communication Engineering, Bharath university of Higher education and Research Chennai, (Tamil Nadu), India.
4K. Subbulakshmi, Assistant Professor Department of Engineering and Communication Engineering, Bharath university of Higher education and Research Chennai, (Tamil Nadu), India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 25 May 2019 | Manuscript published on 30 May 2019 | PP: 32-37 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1393058119/19©BEIESP
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Abstract: This work was planned to create and incorporate a framework that can effectively distinguish falls continuously. The framework empowers self-governing checking and announcing of falls in geriatric patients. The frame is structured so it fulfills the various necessities extending through the electronic correspondence conventions to effective sensors. The frame required a calculation that can assess an occasion dependent on few pre-decided computations to arrange it as a fall or non-fall. Along these lines, viable coordination of equipment and programming instruments was additionally required that gives a continuous location and revealing of falls effectively to the specialists and therapeutic staff.
Index Terms: GSM, GPS, Fall Detection.
Scope of the Article: Service Level Agreements (Drafting, Negotiation, Monitoring and Management)