Volume and Brightness Control with Hand Gestures using Computer Vision
Visali Pemmaraju
, Snigdha Aishwarya Pasala , Penumaka Rishitha , Pilla Sanjana , Esther Sunanda Bandaru
- Hand Gesture, Volume Control , Brightness Control, Human Control Interaction, Edge Detection, OpenCV, Computer Vision
Gesture Recognition has become increasingly relevant in the field of human-computer interaction, as it is a natural way to convey information. We aim to create a system that can identify specific human gestures and utilize them to transmit information for device control. This enables users to operate a computer by performing a specific gesture in front of the camera. The below approach can detect multiple hands simultaneously, that is left and right, each having its own purpose. It is detected by a standard webcam, and requires no extra equipment. The left hand is responsible in controlling the brightness and the right hand will be responsible for controlling the volume. Here we have used different computer vision techniques which includes border detection, and convex-hull detection. The system was able to detect the distance between two points present in the hand, namely fingertip of thumb as well as index finger. Then it calculates the distance between them which is used to apply for volume and brightness, i.e. If the fingers are pinched, the distance between them becomes “zero”, thereby setting the volume or brightness to zero. If it has the maximum distance ,then the volume or brightness is set to maximum that is “100”.The Volume or brightness is decided based upon the hand. The primary aim here is to enable users to adjust the volume as well as the brightness of their system with ease, either by increasing or decreasing it. This offers a promising alternative to touch-based controls as well as voice-based controls.
"Volume and Brightness Control with Hand Gestures using Computer Vision", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a426-a430, March-2023, Available :https://ijnrd.org/papers/IJNRD2303043.pdf
Volume 8
Issue 3,
March-2023
Pages : a426-a430
Paper Reg. ID: IJNRD_188063
Published Paper Id: IJNRD2303043
Downloads: 000118935
Research Area: Engineering
Country: VISAKHAPATNAM, Andhra Pradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
