AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE
Abstract & Details
Research Area
artificial intelligence
Keywords
ANN
UART
Abstract
Gesture Recognition aims to develop an assistive system that automatically converts an input sign into corresponding text. There are various methodologies of implementing gesture recognition system. The major challenge in the complex backgrounds in the images. In many cases, these complex backgrounds are not eliminated properly and results in more error scenarios. With the industry moving towards to applying Gesture Recognition widely with human interfaces, the accuracy should be good and the error variance should be brought down as much as possible. In the project, we work towards handling complex backgrounds with advanced background elimination techniques and ANN to classify gestures. And then classified gesture signal send through the UART to microcontroller and display the gesture to text recognition.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr. SHERYL RADLEY | MEENAKSHI COLLEGE OF ENGINEERING |
| 2 | N. VINODHINI | MEENAKSHI COLLEGE OF ENGINEERING |
| 3 | M. NEHA | MEENAKSHI COLLEGE OF ENGINEERING |
| 4 | S SHALINI | MEENAKSHI COLLEGE OF ENGINEERING |
| 5 | V. AISHA BANU | MEENAKSHI COLLEGE OF ENGINEERING |
How to Cite
Use the following formats to cite this article in your research.
APA Style
RADLEY, Dr. SHERYL, VINODHINI, N., NEHA, M., SHALINI, S, & BANU, V. AISHA (2022). AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4215-4225.
MLA Style
RADLEY, Dr. SHERYL, et al. "AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4215-4225.
IEEE Style
Dr. SHERYL RADLEY, N. VINODHINI, M. NEHA, S SHALINI, and V. AISHA BANU, "AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4215-4225, 2022.
Vancouver Style
RADLEY Dr. SHERYL, VINODHINI N., NEHA M., SHALINI S, BANU V. AISHA. AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4215-4225.
Harvard Style
RADLEY, Dr. SHERYL, VINODHINI, N., NEHA, M., SHALINI, S, & BANU, V. AISHA (2022) 'AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4215-4225.
Chicago Style
RADLEY, Dr. SHERYL, et al. "AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4215-4225.
Turabian Style
RADLEY, Dr. SHERYL, et al. "AI BASED HUMAN HAND GESTURE RECOGNITION FOR COMMUNICATION BETWEEN IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4215-4225.
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