Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body se...
| Main Author: | |
|---|---|
| Format: | Book Section |
| Language: | English |
| Published: |
Institute of Graduate Studies, UiTM
2015
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf |
| _version_ | 1796900999201292288 |
|---|---|
| author | A. Jalil @ Zainuddin, Siti Zura |
| author_facet | A. Jalil @ Zainuddin, Siti Zura |
| author_sort | A. Jalil @ Zainuddin, Siti Zura |
| collection | UITM |
| description | This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body segments of Chakra, Left, Right, Upper body, Torso, Arm and Lower body. Initially, the characteristics of frequency radiation are examined using statistical tools to find the correlations between variables. Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. The classifiers are evaluated through analysis of the performance indicators applied in medical research of accuracy, precision, sensitivity and specificity in receiver operating characteristics (ROC) analysis. The findings obtained from this research show that the wave radiation characteristics of a male and a female human body are different. The proposed technique is able to distinguish gender and classify body segments, and it is justified using MANOVA statistical tests… |
| first_indexed | 2024-03-06T01:43:33Z |
| format | Book Section |
| id | oai:ir.uitm.edu.my:19371 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:43:33Z |
| publishDate | 2015 |
| publisher | Institute of Graduate Studies, UiTM |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:193712018-06-11T04:55:18Z https://ir.uitm.edu.my/id/eprint/19371/ Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin A. Jalil @ Zainuddin, Siti Zura Malaysia This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body segments of Chakra, Left, Right, Upper body, Torso, Arm and Lower body. Initially, the characteristics of frequency radiation are examined using statistical tools to find the correlations between variables. Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. The classifiers are evaluated through analysis of the performance indicators applied in medical research of accuracy, precision, sensitivity and specificity in receiver operating characteristics (ROC) analysis. The findings obtained from this research show that the wave radiation characteristics of a male and a female human body are different. The proposed technique is able to distinguish gender and classify body segments, and it is justified using MANOVA statistical tests… Institute of Graduate Studies, UiTM 2015 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin. (2015) In: The Doctoral Research Abstracts. IGS Biannual Publication, 7 (7). Institute of Graduate Studies, UiTM, Shah Alam. |
| spellingShingle | Malaysia A. Jalil @ Zainuddin, Siti Zura Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title | Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title_full | Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title_fullStr | Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title_full_unstemmed | Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title_short | Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin |
| title_sort | human body radiation wave analysis and classification for gender and body segments recognition siti zura a jalil zainuddin |
| topic | Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf |
| work_keys_str_mv | AT ajalilzainuddinsitizura humanbodyradiationwaveanalysisandclassificationforgenderandbodysegmentsrecognitionsitizuraajalilzainuddin |