Human Fall Detection with Computer Vision and Deep Learning

Interim Semester 2020/2021

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Main Author: Muhammad Abid bin Amer
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Language:English
Published: 2023
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spelling my.uniten.dspace-213612023-05-05T05:44:26Z Human Fall Detection with Computer Vision and Deep Learning Muhammad Abid bin Amer Fall Detection Computer Vision Deep Learning Interim Semester 2020/2021 This thesis reports on the fall detector using computer vision with deep learning. The main objective of this project is to help reduce the number of a fatal accident due to a fall in an elderly house and hospital. The conventional fall detector usually is not user friendly as it requires the user to wear it all the time. Hence, the fall detector using input from Closed-Circuit Television (CCTV) footage is used to detect fall as it is user friendly and able to be ready to detect fall all the time. A deep learning approach is used in this project to detect a human to reduce false alarm in detection. Thus, making the system to be more reliable and accurate in detecting fall and eventually will reduce the number of a fall accident. Visual studio code and other IDE were used to design and test the system. The accuracy of the system then determined by using fall dataset videos 2023-05-03T16:41:11Z 2023-05-03T16:41:11Z 2020-09 https://irepository.uniten.edu.my/handle/123456789/21361 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Fall Detection
Computer Vision
Deep Learning
spellingShingle Fall Detection
Computer Vision
Deep Learning
Muhammad Abid bin Amer
Human Fall Detection with Computer Vision and Deep Learning
description Interim Semester 2020/2021
format
author Muhammad Abid bin Amer
author_facet Muhammad Abid bin Amer
author_sort Muhammad Abid bin Amer
title Human Fall Detection with Computer Vision and Deep Learning
title_short Human Fall Detection with Computer Vision and Deep Learning
title_full Human Fall Detection with Computer Vision and Deep Learning
title_fullStr Human Fall Detection with Computer Vision and Deep Learning
title_full_unstemmed Human Fall Detection with Computer Vision and Deep Learning
title_sort human fall detection with computer vision and deep learning
publishDate 2023
_version_ 1806427651703832576
score 13.214268