Open AccessHuman Activity Recognition System
Author(s) -
Pankaj Bhambri,
Harpreet Kaur,
Akarshit Gupta,
Jaskaran Singh
Publication year - 2021
Publication title -
oriental journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2320-8481
pISSN - 0974-6471
DOI - 10.13005/ojcst13.0203.05
Subject(s) - computer science , activity recognition , process (computing) , artificial intelligence , human–computer interaction , computer vision , operating system
Modern human activity recognAition systems are mainly trained and used upon video stream and images data that understand the features and actions variations in the data having similar or related movements. Human Activity Recognition plays a significant role in human-to-human and human-computer interaction. Manually driven system are highly time consuming and costlier. In this project, we aim at designing a cost-effective and faster Human Activity Recognition System which can process both video and image in order to recognize the activity being performed in it, thereby aiding the end user in various applications like surveillance, aiding purpose etc. This system will not only be cost effective but also as a utility-based system that can be incorporated in a large number of applications that will save time and aid in various activities that require recognition process, and save a lot of time with good accuracy Also, it will aid the blind people in availing the knowledge of their surroundings.