Detection of Hand Gestures for Cerebral Palsy Persons Using Deep Neural Network

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Ansari Asra Sultana; Mohammed Abbas Qureshi; Dr. MD. Ateeq Ur Rahman

Detection of Hand Gestures for Cerebral Palsy Persons Using Deep Neural Network

Authors: Ansari Asra Sultana, Mohammed Abbas Qureshi, Dr. MD. Ateeq Ur Rahman

Unique Paper ID: 182930
Volume: 12
Issue: 2
PageNo: 4160-4168

Keywords: Deep Neural Networks Hand Gesture Recognition Human-Computer Interaction Blob Detection Predictive Modeling.

Abstract:
A framework for detecting gestures with the hands is utilized to interface with computers through hand gestures. Our goal is to generate a Windows operating systems program that uses a digital camera to identify real-time movement gestures. It combines hand identifying with real-time tracking of movement. This program employs a digital camera to recognize client gestures and carry out simple tasks in response. The individual must make a specific movement. The gesture in question is captured by the a live stream, which then detects it (by comparing it with a list of recognized gestures) and does what is necessary. It is possible to configure this software to execute in the meantime whenever the individual is using other apps and services. When using a hands-free strategy, this feature can be quite helpful. However, it might not be very useful for composing written records or accessing online resources.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 4160-4168

Detection of Hand Gestures for Cerebral Palsy Persons Using Deep Neural Network

Available:https://ijirt.org/article?manuscript=182930

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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