Loading

Smart Detection System for Falling of Human Body
S. Janardhana Rao1, J. Abhilash2
1Dr. S. Janardhana Rao, Electronics and communication engineering, Vardhaman college of Engineering, Hyderabad, India.
2J. Abhilash, Electronics and communication engineering, Vardhaman college of Engineering, Hyderabad, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8502-8505 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9206118419/2019©BEIESP | DOI: 10.35940/ijrte.D9206.118419

Open Access | Ethics and Policies | Cite  | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Present embedded technology revolving around IoT technology. An IoT referred as a communication of varies devices through Internet protocols. Day by day peoples lifestyle is changing according with the time, people In the event that you do not have the opportunity to treat yourself, this will prompt an expansion in the quantity of interminable and heart mutations. The present emergency clinic based wellbeing framework doesn’t treat conditions requiring quick treatment, for example, coronary episodes. The objective presently is to move from medical clinic based treatment to quiet focused treatment. This venture proposes a wellbeing reconnaissance framework that screens the basic parameters of patients such as temperature, pulse rate, Patient position and location. If any abnormal situations are arrived then this system will informed to belonging doctor through registered Phone number and share location of patient.
Keywords: Raspberry pi3, Arduino Mini, LM35, Pulse Sensor, Gyroscope, GPS module, Accelerometer..
Scope of the Article: Smart Solutions – Wearable Sensors and Smart Glasses.