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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM20469
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In order to improve the convenience of human-computer interaction without the need for any physical assistance, we have built an application in this article that is capable of replacing the usual input device (mouse) by employing facial expressions. For patients without hands or those with infirmities that prevent them from using their hands, it can be used as an optional input source. In the suggested application, we used real-time video face recognition machine learning technology to let users interact with various system activities. Moreover, our application is designed to be intuitive and easy to use, making it accessible to users of all ages and backgrounds. The facial expression recognition technology is able to accurately detect a wide range of facial expressions, allowing users to interact with the system in a natural and intuitive way.
KEYWORDS
Publication Date
10/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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