Open AccessResearch on Sensation Recognition using Mobile Phones
Author(s) -
Dr.O.Rama Devi*,
AUTHOR_ID,
Dr B. Rama Devi,
Dr.B.Srinivara Rao,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9387.088619
Subject(s) - c4.5 algorithm , feeling , emotive , computer science , naive bayes classifier , accelerometer , artificial intelligence , human–computer interaction , machine learning , psychology , support vector machine , social psychology , sociology , anthropology , operating system
The accessibility of implicit sensors in cellular telephones has empowered a large agency of imaginitive applications. individual elegance of use manages spotting a purchaser's feelings. beyond programs have essentially depended on account and showing self-introduced emotions. This paper indicates a practical feeling recognition framework for cell phones finished as a terrific console that surmises a patron's enthusiastic nation using device mastering structures. The framework utilizes accelerometer readings and exceptional a part of composing behavior like pace and postponement among letters to prepare a classifier to foresee emotions. Credulous Bayes, J48, IBK, Multi-reaction without delay relapse and SVM were assessed and J48 modified into seemed to be the finest classifier with over 90% exactness and accuracy. but giving emotive input to singular customers, the framework likewise makes use of geo-categorized facts to collect and show passionate conditions of locales or countries via a website.