Hand gestures recognition system to control the device's screen

The Covid-19 pandemic has highlighted the urgent need for innovative solutions that prioritize public health and safety, especially in shared spaces. As a response to this need, touchless screen control systems based on hand gestures have emerged as a crucial technology, offering a way to interac...

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Main Author: Wong, Jian Yoong
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
Online Access:http://eprints.utar.edu.my/7038/
http://eprints.utar.edu.my/7038/1/fyp_IB_2024_WJY.pdf
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author Wong, Jian Yoong
author_facet Wong, Jian Yoong
author_sort Wong, Jian Yoong
building UTAR Institutional Repository
collection Online Access
description The Covid-19 pandemic has highlighted the urgent need for innovative solutions that prioritize public health and safety, especially in shared spaces. As a response to this need, touchless screen control systems based on hand gestures have emerged as a crucial technology, offering a way to interact with digital screens without physical contact, thus reducing the risk of viral transmission. By leveraging libraries like OpenCV, Mediapipe, NumPy, and PyAutoGUI within a Jupyter notebook environment, the proposed Hand Gesture Recognition system aims to detect and respond to detected gestures using a camera. These systems boast several advantages, including reduced physical space requirements compared to traditional mouse control setups. This aspect makes them particularly suitable for environments with space constraints or mobile applications. Furthermore, hand gesture-based screen control systems can play a vital role in enhancing public health safety, especially in the context of the Covid-19 pandemic or any other unknown pandemic in future. By enabling contactless interaction with screens, they help minimize the risk of viral transmission, aligning with broader public health efforts to combat infectious diseases. Beyond immediate concerns, this technology signifies a shift in how humans interact with computers, envisioning a future where digital interfaces seamlessly integrate into everyday life, accommodating individuals with various abilities and preferences. Through an exploration of their features and practical applications, this thesis underscores the potential of hand gesture-based screen control systems in creating a cleaner, more accessible, and interconnected world. By prioritizing user experience and inclusivity, these systems lay the groundwork for a future where technology enhances both safety and convenience, ushering in a new era of human-computer interaction.
first_indexed 2025-11-15T19:44:45Z
format Final Year Project / Dissertation / Thesis
id utar-7038
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:44:45Z
publishDate 2024
recordtype eprints
repository_type Digital Repository
spelling utar-70382025-02-27T07:38:39Z Hand gestures recognition system to control the device's screen Wong, Jian Yoong T Technology (General) TD Environmental technology. Sanitary engineering The Covid-19 pandemic has highlighted the urgent need for innovative solutions that prioritize public health and safety, especially in shared spaces. As a response to this need, touchless screen control systems based on hand gestures have emerged as a crucial technology, offering a way to interact with digital screens without physical contact, thus reducing the risk of viral transmission. By leveraging libraries like OpenCV, Mediapipe, NumPy, and PyAutoGUI within a Jupyter notebook environment, the proposed Hand Gesture Recognition system aims to detect and respond to detected gestures using a camera. These systems boast several advantages, including reduced physical space requirements compared to traditional mouse control setups. This aspect makes them particularly suitable for environments with space constraints or mobile applications. Furthermore, hand gesture-based screen control systems can play a vital role in enhancing public health safety, especially in the context of the Covid-19 pandemic or any other unknown pandemic in future. By enabling contactless interaction with screens, they help minimize the risk of viral transmission, aligning with broader public health efforts to combat infectious diseases. Beyond immediate concerns, this technology signifies a shift in how humans interact with computers, envisioning a future where digital interfaces seamlessly integrate into everyday life, accommodating individuals with various abilities and preferences. Through an exploration of their features and practical applications, this thesis underscores the potential of hand gesture-based screen control systems in creating a cleaner, more accessible, and interconnected world. By prioritizing user experience and inclusivity, these systems lay the groundwork for a future where technology enhances both safety and convenience, ushering in a new era of human-computer interaction. 2024-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/7038/1/fyp_IB_2024_WJY.pdf Wong, Jian Yoong (2024) Hand gestures recognition system to control the device's screen. Final Year Project, UTAR. http://eprints.utar.edu.my/7038/
spellingShingle T Technology (General)
TD Environmental technology. Sanitary engineering
Wong, Jian Yoong
Hand gestures recognition system to control the device's screen
title Hand gestures recognition system to control the device's screen
title_full Hand gestures recognition system to control the device's screen
title_fullStr Hand gestures recognition system to control the device's screen
title_full_unstemmed Hand gestures recognition system to control the device's screen
title_short Hand gestures recognition system to control the device's screen
title_sort hand gestures recognition system to control the device's screen
topic T Technology (General)
TD Environmental technology. Sanitary engineering
url http://eprints.utar.edu.my/7038/
http://eprints.utar.edu.my/7038/1/fyp_IB_2024_WJY.pdf