Open AccessHuman Actions and Hand Gesture Recognition with Deep Learning
Author(s) -
Bapireddygari Hema,
J. Arokia Renjit
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.b2815.129219
Subject(s) - gesture , computer science , gesture recognition , action (physics) , wearable computer , action recognition , deep learning , human–computer interaction , artificial intelligence , variety (cybernetics) , wearable technology , mobile device , world wide web , class (philosophy) , physics , quantum mechanics , embedded system
Over recent times, deep learning has been challenged extensively to automatically read and interpret characteristic features from large volumes of data. Human Action Recognition (HAR) has been experimented with variety of techniques like wearable devices, mobile devices etc., but they can cause unnecessary discomfort to people especially elderly and child. Since it is very vital to monitor the movements of elderly and children in unattended scenarios, thus, HAR is focused. A smart human action recognition method to automatically identify the human activities from skeletal joint motions and combines the competencies are focused. We can also intimate the near ones about the status of the people. Also, it is a low-cost method and has high accuracy. Thus, this provides a way to help the senior citizens and children from any kind of mishaps and health issues. Hand gesture recognition is also discussed along with human activities using deep learning.