Adaptive HAR System to Improve Recognition Accuracy
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification. In this study, we discuss an adaptive system to im...
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering and Technology
2018-07-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
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| Online Access: | https://doi.org/10.22581/muet1982.1803.03 |
| _version_ | 1828287948939853824 |
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| author | Muhammad Arshad Awan |
| author_facet | Muhammad Arshad Awan |
| author_sort | Muhammad Arshad Awan |
| collection | DOAJ |
| description | HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification. In this study, we discuss an adaptive system to improve recognition accuracy. We developed a mathematical model to categorize the activities based on their data pattern. It observed that as we group the activities; although a separate classification model is required for each group, but it increases the recognition accuracy and efficiency of the system. The experiments on the data of eleven activities gathered from 10 volunteers proved the usability, scalability and effectiveness of our proposed methodology. The recognition accuracy of eleven activities was increased in total about 9- 37% and reached up to 90% in different cases, using different number of groups and classification algorithms. |
| first_indexed | 2024-04-13T09:56:45Z |
| format | Article |
| id | doaj.art-7bf5e07ec0624117b4d3ee2e86734689 |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-04-13T09:56:45Z |
| publishDate | 2018-07-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-7bf5e07ec0624117b4d3ee2e867346892022-12-22T02:51:21ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192018-07-0137346748210.22581/muet1982.1803.03Adaptive HAR System to Improve Recognition AccuracyMuhammad Arshad Awan0Department of Computer Science, Allama Iqbal Open University, IslamabadHAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification. In this study, we discuss an adaptive system to improve recognition accuracy. We developed a mathematical model to categorize the activities based on their data pattern. It observed that as we group the activities; although a separate classification model is required for each group, but it increases the recognition accuracy and efficiency of the system. The experiments on the data of eleven activities gathered from 10 volunteers proved the usability, scalability and effectiveness of our proposed methodology. The recognition accuracy of eleven activities was increased in total about 9- 37% and reached up to 90% in different cases, using different number of groups and classification algorithms.https://doi.org/10.22581/muet1982.1803.03Activity RecognitionAdaptive Human Activity RecognitionContext-AwarenessUbiquitous Computing. |
| spellingShingle | Muhammad Arshad Awan Adaptive HAR System to Improve Recognition Accuracy Mehran University Research Journal of Engineering and Technology Activity Recognition Adaptive Human Activity Recognition Context-Awareness Ubiquitous Computing. |
| title | Adaptive HAR System to Improve Recognition Accuracy |
| title_full | Adaptive HAR System to Improve Recognition Accuracy |
| title_fullStr | Adaptive HAR System to Improve Recognition Accuracy |
| title_full_unstemmed | Adaptive HAR System to Improve Recognition Accuracy |
| title_short | Adaptive HAR System to Improve Recognition Accuracy |
| title_sort | adaptive har system to improve recognition accuracy |
| topic | Activity Recognition Adaptive Human Activity Recognition Context-Awareness Ubiquitous Computing. |
| url | https://doi.org/10.22581/muet1982.1803.03 |
| work_keys_str_mv | AT muhammadarshadawan adaptiveharsystemtoimproverecognitionaccuracy |