Data Mining Approach On Assessing The Human Motion Balancing Mechanisms
Data mining approach can be described as the process of converting a big and uncontrolled size of data into a more simple and useful form data. This project uses data mining approach to access human stability when a motion involved. In this project, we involve the activities perform a normal huma...
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Format: | Monograph |
Language: | English |
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Universiti Sains Malaysia
2017
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Online Access: | http://eprints.usm.my/53533/1/Data%20Mining%20Approach%20On%20Assessing%20The%20Human%20Motion%20Balancing%20Mechanisms_Kogulan%20%20Letchumanan_M4_2017.pdf |
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author | Kogulan, Letchumanan |
author_facet | Kogulan, Letchumanan |
author_sort | Kogulan, Letchumanan |
collection | USM |
description | Data mining approach can be described as the process of converting a big and
uncontrolled size of data into a more simple and useful form data. This project uses data mining
approach to access human stability when a motion involved. In this project, we involve the
activities perform a normal human being to find out the perfect posture for them to do that
activity. Data mining comprises of few stages which are data collection, data preprocessing,
data processing and knowledge discovery. Data are analysed by using a group of people consist
of 10 people from different age and physical appearance. By applying data mining approach to
human motion, we can avoid injuries and take proper safety precautions. |
first_indexed | 2024-03-06T15:56:25Z |
format | Monograph |
id | usm.eprints-53533 |
institution | Universiti Sains Malaysia |
language | English |
last_indexed | 2024-03-06T15:56:25Z |
publishDate | 2017 |
publisher | Universiti Sains Malaysia |
record_format | dspace |
spelling | usm.eprints-535332022-07-22T08:30:17Z http://eprints.usm.my/53533/ Data Mining Approach On Assessing The Human Motion Balancing Mechanisms Kogulan, Letchumanan T Technology TJ1-1570 Mechanical engineering and machinery Data mining approach can be described as the process of converting a big and uncontrolled size of data into a more simple and useful form data. This project uses data mining approach to access human stability when a motion involved. In this project, we involve the activities perform a normal human being to find out the perfect posture for them to do that activity. Data mining comprises of few stages which are data collection, data preprocessing, data processing and knowledge discovery. Data are analysed by using a group of people consist of 10 people from different age and physical appearance. By applying data mining approach to human motion, we can avoid injuries and take proper safety precautions. Universiti Sains Malaysia 2017-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53533/1/Data%20Mining%20Approach%20On%20Assessing%20The%20Human%20Motion%20Balancing%20Mechanisms_Kogulan%20%20Letchumanan_M4_2017.pdf Kogulan, Letchumanan (2017) Data Mining Approach On Assessing The Human Motion Balancing Mechanisms. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanik. (Submitted) |
spellingShingle | T Technology TJ1-1570 Mechanical engineering and machinery Kogulan, Letchumanan Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title | Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title_full | Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title_fullStr | Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title_full_unstemmed | Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title_short | Data Mining Approach On Assessing The Human Motion Balancing Mechanisms |
title_sort | data mining approach on assessing the human motion balancing mechanisms |
topic | T Technology TJ1-1570 Mechanical engineering and machinery |
url | http://eprints.usm.my/53533/1/Data%20Mining%20Approach%20On%20Assessing%20The%20Human%20Motion%20Balancing%20Mechanisms_Kogulan%20%20Letchumanan_M4_2017.pdf |
work_keys_str_mv | AT kogulanletchumanan dataminingapproachonassessingthehumanmotionbalancingmechanisms |