Volume Controller using Hand Gestures

This work presents the development of a volume controller using hand gestures as the input to control the system.This system uses the OpenCV module to detect and control gestures. The application captures images and videos from the webcam, and based on the user's input, it controls the volume o...

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Published in:International Conference on Computing, Communication, and Networking Technologies (Online) pp. 1 - 6
Main Authors: Tiwari, Saransh, Mishra, Abhineet, Kukreja, Deepak, Yadav, Anup Lal
Format: Conference Proceeding
Language:English
Published: IEEE 06.07.2023
Subjects:
Control systems
Gesture recognition
Hand gesture
Human-computer interface (HCI)
Machine skills
NumPy package
OpenCV-Python
Reliability
Software
Task analysis
User experience
Volume controller
Webcams
ISSN:2473-7674
Online Access:Get full text
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Abstract This work presents the development of a volume controller using hand gestures as the input to control the system.This system uses the OpenCV module to detect and control gestures. The application captures images and videos from the webcam, and based on the user's input, it controls the volume of the system.Hand gesture recognition systems have a wide range of applications, including volume control, navigation, gaming, and sign language interpretation.In this project, we are developing a hand gesture volume controller system. The system uses a high-resolution camera to detect hand gestures, which are then used to control the volume of a device. The system is developed using the Numpy, OpenCV, and Python packages.The system is designed to be intuitive and easy to use. Users can simply make a gesture with their hand to control the volume of the device. The hand gesture volume controller system has the potential to revolutionize the way we interact with devices. By allowing us to control devices with our hands, hand gesture recognition systems can make our lives easier and more convenient.
AbstractList This work presents the development of a volume controller using hand gestures as the input to control the system.This system uses the OpenCV module to detect and control gestures. The application captures images and videos from the webcam, and based on the user's input, it controls the volume of the system.Hand gesture recognition systems have a wide range of applications, including volume control, navigation, gaming, and sign language interpretation.In this project, we are developing a hand gesture volume controller system. The system uses a high-resolution camera to detect hand gestures, which are then used to control the volume of a device. The system is developed using the Numpy, OpenCV, and Python packages.The system is designed to be intuitive and easy to use. Users can simply make a gesture with their hand to control the volume of the device. The hand gesture volume controller system has the potential to revolutionize the way we interact with devices. By allowing us to control devices with our hands, hand gesture recognition systems can make our lives easier and more convenient.
Author Tiwari, Saransh
Mishra, Abhineet
Kukreja, Deepak
Yadav, Anup Lal
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  givenname: Abhineet
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  givenname: Deepak
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  organization: Chandigarh University,Department of CSE,Mohali,India
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  givenname: Anup Lal
  surname: Yadav
  fullname: Yadav, Anup Lal
  email: anup.e12240@cumail.in
  organization: Chandigarh University,Department of CSE,Mohali,India
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Snippet This work presents the development of a volume controller using hand gestures as the input to control the system.This system uses the OpenCV module to detect...
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SubjectTerms Control systems
Gesture recognition
Hand gesture
Human-computer interface (HCI)
Machine skills
NumPy package
OpenCV-Python
Reliability
Software
Task analysis
User experience
Volume controller
Webcams
Title Volume Controller using Hand Gestures
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