SMARTEYE - for human posture and activity monitoring Part 2

The purpose of this study is to design a system that allows monitoring of the elderly within their household at all times. The report consists of three stages for monitoring – Human Detection, Human Posture Recognition, and Human Activity Recognition. Human detection allows the system to detect t...

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Main Author: Lim, Jay Boon Kiat
Other Authors: Deepu Rajan
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/69116
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-691162023-03-03T20:57:19Z SMARTEYE - for human posture and activity monitoring Part 2 Lim, Jay Boon Kiat Deepu Rajan School of Computer Engineering DRNTU::Engineering The purpose of this study is to design a system that allows monitoring of the elderly within their household at all times. The report consists of three stages for monitoring – Human Detection, Human Posture Recognition, and Human Activity Recognition. Human detection allows the system to detect the exact location of the elderly whereas, posture recognition and activity recognition will determine the current status of the elderly. Two postures – Standing and Lying, are recognized by the system. By using the posture recognition algorithms, the system will classify the ongoing activity based on the sequence of postures detected. The system will be implemented with background subtraction and Histogram of Oriented Gradients. Information retrieved from the subtracted background and the classified posture will be used to classify the activity. After testing the implemented system, a detection accuracy of 90% has been achieved for human detection and an accuracy of 93% has been achieved for standing posture detection. Although, an accuracy of only 28% has been achieved for lying posture detection, the implemented system managed to detect falling activities accurately. Therefore, a conclusion can be drawn such that the current status of the elderly can be monitored successfully using the implemented system. Bachelor of Engineering (Computer Science) 2016-11-07T02:18:36Z 2016-11-07T02:18:36Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69116 en Nanyang Technological University 67 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Lim, Jay Boon Kiat
SMARTEYE - for human posture and activity monitoring Part 2
description The purpose of this study is to design a system that allows monitoring of the elderly within their household at all times. The report consists of three stages for monitoring – Human Detection, Human Posture Recognition, and Human Activity Recognition. Human detection allows the system to detect the exact location of the elderly whereas, posture recognition and activity recognition will determine the current status of the elderly. Two postures – Standing and Lying, are recognized by the system. By using the posture recognition algorithms, the system will classify the ongoing activity based on the sequence of postures detected. The system will be implemented with background subtraction and Histogram of Oriented Gradients. Information retrieved from the subtracted background and the classified posture will be used to classify the activity. After testing the implemented system, a detection accuracy of 90% has been achieved for human detection and an accuracy of 93% has been achieved for standing posture detection. Although, an accuracy of only 28% has been achieved for lying posture detection, the implemented system managed to detect falling activities accurately. Therefore, a conclusion can be drawn such that the current status of the elderly can be monitored successfully using the implemented system.
author2 Deepu Rajan
author_facet Deepu Rajan
Lim, Jay Boon Kiat
format Final Year Project
author Lim, Jay Boon Kiat
author_sort Lim, Jay Boon Kiat
title SMARTEYE - for human posture and activity monitoring Part 2
title_short SMARTEYE - for human posture and activity monitoring Part 2
title_full SMARTEYE - for human posture and activity monitoring Part 2
title_fullStr SMARTEYE - for human posture and activity monitoring Part 2
title_full_unstemmed SMARTEYE - for human posture and activity monitoring Part 2
title_sort smarteye - for human posture and activity monitoring part 2
publishDate 2016
url http://hdl.handle.net/10356/69116
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