Motions Detection of Senior Citizen Using Machine Learning

V. C. Bagal, Pratik Hanpode

Abstract: Recognizing human motions is important from security point of view at any level and scenario. As there are plenty of human motions in a fraction of second, so classification of each motion is challenging task in real world. A Human activity Recognition System recognizes the Shapes and or orientation depending on implementation to task the system into per forming some job. Movement is a form of nonverbal information. A person can make numerous movements at a time. The proposed work aims to detect the movement and actions of a person using image detection methodology. Human activity recognition (HAR) aims to recognize activities from a series of observations on the actions of subjects and the environmental conditions. The vision-based HAR research is the basis of many applications including video surveillance, healthcare, and human-computer interaction (HCI). The proposed work is suitable to identify objectionable human motions of senior citizen who live alone at home.

Keywords: Human activity, Image detection, sensing technology, feature extraction, moment feature

How to Cite?: V. C. Bagal, Pratik Hanpode, "Motions Detection of Senior Citizen Using Machine Learning", Volume 11 Issue 7, July 2022, International Journal of Science and Research (IJSR), Pages: 1488-1491, https://www.ijsr.net/getabstract.php?paperid=SR22721121425, DOI: https://dx.doi.org/10.21275/SR22721121425

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