Human activities recognition in smart living environment
The goal of human activity recognition (HAR) is to identify activities based on a series of observations of subjects' actions and ambient variables. Constant upgrades and advancement in the modern technologies help to create convenience to our living environment in relation to smart devices...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1581592023-07-07T19:23:20Z Human activities recognition in smart living environment Soong, Dave Chin Hwa Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems The goal of human activity recognition (HAR) is to identify activities based on a series of observations of subjects' actions and ambient variables. Constant upgrades and advancement in the modern technologies help to create convenience to our living environment in relation to smart devices and applications. These are prominent to the growth of smart living, where HAR can be recorded and learn through computing such as machine learning. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-27T07:17:27Z 2022-05-27T07:17:27Z 2022 Final Year Project (FYP) Soong, D. C. H. (2022). Human activities recognition in smart living environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158159 https://hdl.handle.net/10356/158159 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Computer hardware, software and systems Soong, Dave Chin Hwa Human activities recognition in smart living environment |
description |
The goal of human activity recognition (HAR) is to identify activities based on a series of
observations of subjects' actions and ambient variables. Constant upgrades and advancement
in the modern technologies help to create convenience to our living environment in relation to
smart devices and applications. These are prominent to the growth of smart living, where
HAR can be recorded and learn through computing such as machine learning. |
author2 |
Soh Yeng Chai |
author_facet |
Soh Yeng Chai Soong, Dave Chin Hwa |
format |
Final Year Project |
author |
Soong, Dave Chin Hwa |
author_sort |
Soong, Dave Chin Hwa |
title |
Human activities recognition in smart living environment |
title_short |
Human activities recognition in smart living environment |
title_full |
Human activities recognition in smart living environment |
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Human activities recognition in smart living environment |
title_full_unstemmed |
Human activities recognition in smart living environment |
title_sort |
human activities recognition in smart living environment |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158159 |
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1772829063272988672 |