Identification of Violent Response with Stretch Sensor Data from a Smart-Jacket using Naïve Bayes Algorithm
Princy Randhawa1, Vijay Shanthagiri2, Ajay Kumar3
1Princy Randhawa, Manipal University Jaipur, India.
2Vijay Shanthagiri*, Oeuvre Bangalore, India.
3Ajay Kumar, Manipal University Jaipur, India.
Manuscript received on October 16, 2019. | Revised Manuscript received on 28 October, 2019. | Manuscript published on November 10, 2019. | PP: 5265-5270 | Volume-9 Issue-1, November 2019. | Retrieval Number: A9244119119/2019©BEIESP | DOI: 10.35940/ijitee.A9244.119119
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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: In this paper, a smart-jacket using stretch sensors, pressure sensors was built for purpose of generating body-movements data and in order to record different kinds of signals and the distribution of the same on the jacket. Every degree of motion, when exercised, generates voltage changes in the stretch sensors as it is its property to do so. This data is collected in a flora chip set, which is Arduino based. The collected data is processed, pruned and filtered for outliers. This paper concerns with a supervised learning algorithm called Naive Bayes, which is applied over independent datasets, meaning one set of observation has no direct relations to each other. The placement of sensor are on the shoulders and elbows and the responses from each are independent of each other. Using Naive Bayes, the date has been classified for the violent response and the normal action.
Keywords: Naïve Bayes, Physical Violence, Stretch Sensors, Smart jacket.
Scope of the Article: Algorithm Engineering