Gesture Sensing:Bridging Real and Virtual Worlds
Abstract & Details
Research Area
Computer Engineering
Keywords
: Facial recognition using OpenCV and
Python incorporates advanced algorithms such as
LSTM
SVM
RNN
and ANN for accurate
identification.
Abstract
Approximately 5% of the
global population, comprising deaf and mute
individuals, often lack access to sign language,
leading to feelingsof disconnection. A prototype
assistive medium has been developed to address
this gap by recognizing hand gestures and
converting them into real-time text using image
processing and deep learning techniques. Hand
gestures play a vital role in facilitating humanmachine interaction and are integral to visionbased gesture recognition technology. The system
involves tracking, segmentation, gesture
acquisition, feature extraction, gesture
recognition, and text conversion, all crucial in
bridging communication between deaf and mute
individuals and those who can hear and speak.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rakshitha Malnad P | Dayananda Sagar Academy of Technology and Management |
| 2 | Prajna Acharya | Dayananda Sagar Academy of Technology and Management |
| 3 | Raksha G | Dayananda Sagar Academy of Technology and Management |
| 4 | R Kavitha | Dayananda Sagar Academy of Technology and Management |
| 5 | Sowmya S R | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
P, Rakshitha Malnad, Acharya, Prajna, G, Raksha, Kavitha, R, & R, Sowmya S (2024). Gesture Sensing:Bridging Real and Virtual Worlds. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 4510-4519.
MLA Style
P, Rakshitha Malnad, et al. "Gesture Sensing:Bridging Real and Virtual Worlds." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 4510-4519.
IEEE Style
Rakshitha Malnad P, Prajna Acharya, Raksha G, R Kavitha, and Sowmya S R, "Gesture Sensing:Bridging Real and Virtual Worlds," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 4510-4519, 2024.
Vancouver Style
P Rakshitha Malnad, Acharya Prajna, G Raksha, Kavitha R, R Sowmya S. Gesture Sensing:Bridging Real and Virtual Worlds. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):4510-4519.
Harvard Style
P, Rakshitha Malnad, Acharya, Prajna, G, Raksha, Kavitha, R, & R, Sowmya S (2024) 'Gesture Sensing:Bridging Real and Virtual Worlds', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 4510-4519.
Chicago Style
P, Rakshitha Malnad, et al. "Gesture Sensing:Bridging Real and Virtual Worlds." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4510-4519.
Turabian Style
P, Rakshitha Malnad, et al. "Gesture Sensing:Bridging Real and Virtual Worlds." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4510-4519.
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