Abstract

Monitoring and taking care of people has been a necessary factor. Since it is very vital to monitor the movements of the people left alone in our homes and people in unattended scenarios, this project focuses on Human Activity Recognition (HAR). This project showcases a smart human action recognition method to automatically identify the human activities from skeletal joint motions and combines the competencies. This is a low-cost method and has high accuracy. An independent mobile application is also developed to monitor the activities of the people and their surroundings when they are alone. A mobile notification is sent during abnormal activities. Thus, our project provides a way to help senior citizens from any kind of mishaps.

Full Text
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