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Home / Archives / Volume-6 / Issue-3 / Article-4

Volume - 6 | Issue - 3 | September 2024

EchoGesture Communication: Gesture-based Systems for Individuals with Disabilities Open Access
Chandraman M  , Santhiyakumari N, Ganesh Venkateshwaran S, Damodharan M, Santhiya C, Subalakshimi V  79
Pages: 253-261
Cite this article
M, Chandraman, Santhiyakumari N, Ganesh Venkateshwaran S, Damodharan M, Santhiya C, and Subalakshimi V. "EchoGesture Communication: Gesture-based Systems for Individuals with Disabilities." Journal of Electronics and Informatics 6, no. 3 (2024): 253-261
Published
26 July, 2024
Abstract

EchoGesture Communication revolutionizes the interaction of differently-abled individuals using hand gestures. People with disabilities often face difficulties in using the conventional electronic gadgets. The proposed study, utilizes sensors, microcontroller, computer vision, and machine learning, to enable real-time recognition of hand gestures, facilitating effective communication. Additionally, Convolutional Neural Network (CNN) is used in the research to achieve accurate gesture recognition. The proposed system allows individuals with disability to communicate effectively using hand gestures.

Keywords

Gesture-based Communication Systems Convolutional Neural Network (CNN) Conventional Methods Machine Learning (ML)

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