Gesture Control System Using Computer Vision Techniques

The purpose of the introduction of the gesture control technology was to close the gap between the physical and virtual worlds. Under the direction of mathematical algorithms, human interaction can converse with the digital world. Proposals and implementations of numerous algorithms and techniques h...

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Bibliographic Details
Published in2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC) pp. 1402 - 1406
Main Authors Linda, M. Mary, M, Karuppusamy, M, Kaviya, C, Udhayakumar
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.08.2024
Subjects
Computer vision
Control systems
gesture
Hardware
laptop
mediapipe
opencv
Portable computers
Smart homes
Smart phones
Software
User experience
Webcams
webcom
Windows
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Summary:The purpose of the introduction of the gesture control technology was to close the gap between the physical and virtual worlds. Under the direction of mathematical algorithms, human interaction can converse with the digital world. Proposals and implementations of numerous algorithms and techniques have been made in an attempt to realize the objective of gesture recognition and digital world communication. Accelerometers and other devices can be used to track movements. This research work focuses on building and implementing a desktop computer using a webcam, a laptop running Windows 10, and the PyCharm program. In order to comprehend human expressions and facial expressions in response to commands, this project demonstrates technological advancements in computer vision, machine learning, and sensor technologies. This allows to easily power a variety of electronic devices, including game consoles, smart homes, smartphones and cars. With the use of gesture control systems, users can communicate with smart homes through freely interacting or easily understood motions, doing away with the need for more conventional physical controllers like remotes or Smartphone apps. This enables the user to wave hand in front of the computer or laptop to control specific functions. The main motive is to reduce the cost and increasing reliability by reducing the hardware usage. To be responsive and smooth, the system uses a mix of hardware and software, including IoT devices, machine learning algorithms, and in-depth cameras.
ISSN:2996-5357
DOI:10.1109/ICESC60852.2024.10689942