Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm
Many researchers dealing with smartphone sensors to recognize human activities using machine learning algorithms. In this paper, we proposed One-versus-All (OVA) strategy with relief-f and self-adaptive algorithm to recognize these activities. Relief-f used to rank the features and prune insignifica...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69209/ http://psasir.upm.edu.my/id/eprint/69209/1/Activity%20recognition%20using%20one-versus-all%20strategy%20with%20relief-f%20and%20self-adaptive%20algorithm.pdf |
| _version_ | 1848856339991756800 |
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| author | Zainudin, Muhammad Noorazlan Shah Sulaiman, Md. Nasir Mustapha, Norwati Perumal, Thinagaran |
| author_facet | Zainudin, Muhammad Noorazlan Shah Sulaiman, Md. Nasir Mustapha, Norwati Perumal, Thinagaran |
| author_sort | Zainudin, Muhammad Noorazlan Shah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Many researchers dealing with smartphone sensors to recognize human activities using machine learning algorithms. In this paper, we proposed One-versus-All (OVA) strategy with relief-f and self-adaptive algorithm to recognize these activities. Relief-f used to rank the features and prune insignificant features, self-adaptive algorithm selects the relevant ones, and OVA transform features into a series of two-class classification problems, and later recognized by based classifier. Experiments were carried out to study the performance of our proposed algorithm using publicly activity datasets namely Physical Activity Monitoring for Aging People. It covers eighteen activities comprising various simple and complex activities. The performance of our method is compared to One-versus-One algorithm. The results have significantly promised an improvement of activity recognition level, mainly involving very similar activities. |
| first_indexed | 2025-11-15T11:40:06Z |
| format | Conference or Workshop Item |
| id | upm-69209 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:40:06Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-692092019-06-12T07:37:39Z http://psasir.upm.edu.my/id/eprint/69209/ Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm Zainudin, Muhammad Noorazlan Shah Sulaiman, Md. Nasir Mustapha, Norwati Perumal, Thinagaran Many researchers dealing with smartphone sensors to recognize human activities using machine learning algorithms. In this paper, we proposed One-versus-All (OVA) strategy with relief-f and self-adaptive algorithm to recognize these activities. Relief-f used to rank the features and prune insignificant features, self-adaptive algorithm selects the relevant ones, and OVA transform features into a series of two-class classification problems, and later recognized by based classifier. Experiments were carried out to study the performance of our proposed algorithm using publicly activity datasets namely Physical Activity Monitoring for Aging People. It covers eighteen activities comprising various simple and complex activities. The performance of our method is compared to One-versus-One algorithm. The results have significantly promised an improvement of activity recognition level, mainly involving very similar activities. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69209/1/Activity%20recognition%20using%20one-versus-all%20strategy%20with%20relief-f%20and%20self-adaptive%20algorithm.pdf Zainudin, Muhammad Noorazlan Shah and Sulaiman, Md. Nasir and Mustapha, Norwati and Perumal, Thinagaran (2018) Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm. In: 2018 IEEE Conference on Open Systems (ICOS), 21-22 Nov. 2018, Holiday Villa Beach Resort & Spa, Langkawi, Kedah. (pp. 31-36). 10.1109/ICOS.2018.8632818 |
| spellingShingle | Zainudin, Muhammad Noorazlan Shah Sulaiman, Md. Nasir Mustapha, Norwati Perumal, Thinagaran Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title | Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title_full | Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title_fullStr | Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title_full_unstemmed | Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title_short | Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| title_sort | activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm |
| url | http://psasir.upm.edu.my/id/eprint/69209/ http://psasir.upm.edu.my/id/eprint/69209/ http://psasir.upm.edu.my/id/eprint/69209/1/Activity%20recognition%20using%20one-versus-all%20strategy%20with%20relief-f%20and%20self-adaptive%20algorithm.pdf |