Fuzzy logic system to detect Human Activity Recognition
J.Susmitha1, Kirupa Ganapathy2

1J.Susmitha*, ECE Department, Saveetha school of engineering, SIMATS, Chennai, Tamil Nadu, India.
2Kirupa Ganapathy, Associate Professor, ECE Dept, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1192-1193 | Volume-8 Issue-12, October 2019. | Retrieval Number: L38981081219/2019©BEIESP | DOI: 10.35940/ijitee.L3898.1081219
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© 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: These days health sector became a vast development in the entire world. Health care plays major role is of many scenario at present. The newest way of health care is to monitor the elder people with the smart activity recognition technique. The elder people needs someone assistance to pass on their daily life, as these modern world has no time for looking each and every one, this recognition technique helps the sons and daughters to monitor their old aged parents whether they are standing, walking, sitting or falling. This helps to monitor each and every step of elder people to be noticed where they were when we are in work. This system tracks the moments of elder people.
Keywords: Elder, Tracking, Health
Scope of the Article: Healthcare Informatics