A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition
Nowadays, many mobile phones have been equipped with sensors to enable the delivery of advanced eatures/services to the users. Accelerometer is one of the sensors that embedded to several types of mobile phones. Our earlier research has shown that data from mobile-phone embedded accelerometer can be...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/25609/ http://irep.iium.edu.my/25609/4/ProcediaEng_1-s2.0-S1877705812025520-main.pdf |
| _version_ | 1848779492349181952 |
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| author | Ayu, Media Anugerah Ismail, Siti Aisyah Abdul Matin, Ahmad Faridi Mantoro, Teddy |
| author_facet | Ayu, Media Anugerah Ismail, Siti Aisyah Abdul Matin, Ahmad Faridi Mantoro, Teddy |
| author_sort | Ayu, Media Anugerah |
| building | IIUM Repository |
| collection | Online Access |
| description | Nowadays, many mobile phones have been equipped with sensors to enable the delivery of advanced eatures/services to the users. Accelerometer is one of the sensors that embedded to several types of mobile phones. Our earlier research has shown that data from mobile-phone embedded accelerometer can be used for activity recognition purpose [1]. As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. Five basic human activities (jogging, jumping, sitting, standing, and walking) were tested. The training and testing data were done using Weka 3.6.6 data mining tool. The overall accuracy rate for classifier training managed to exceed 96% and exceeded 90% for classifier testing, which are very encouraging results. |
| first_indexed | 2025-11-14T15:18:38Z |
| format | Article |
| id | iium-25609 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:18:38Z |
| publishDate | 2012 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-256092013-06-07T02:34:47Z http://irep.iium.edu.my/25609/ A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition Ayu, Media Anugerah Ismail, Siti Aisyah Abdul Matin, Ahmad Faridi Mantoro, Teddy T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television Nowadays, many mobile phones have been equipped with sensors to enable the delivery of advanced eatures/services to the users. Accelerometer is one of the sensors that embedded to several types of mobile phones. Our earlier research has shown that data from mobile-phone embedded accelerometer can be used for activity recognition purpose [1]. As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. Five basic human activities (jogging, jumping, sitting, standing, and walking) were tested. The training and testing data were done using Weka 3.6.6 data mining tool. The overall accuracy rate for classifier training managed to exceed 96% and exceeded 90% for classifier testing, which are very encouraging results. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25609/4/ProcediaEng_1-s2.0-S1877705812025520-main.pdf Ayu, Media Anugerah and Ismail, Siti Aisyah and Abdul Matin, Ahmad Faridi and Mantoro, Teddy (2012) A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition. Procedia Engineering, 41. pp. 224-229. ISSN 1877-7058 http://www.elsevier.com/wps/find/journaldescription.cws_home/719240/description 10.1016/j.proeng.2012.07.166 |
| spellingShingle | T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television Ayu, Media Anugerah Ismail, Siti Aisyah Abdul Matin, Ahmad Faridi Mantoro, Teddy A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title | A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title_full | A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title_fullStr | A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title_full_unstemmed | A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title_short | A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| title_sort | comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition |
| topic | T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| url | http://irep.iium.edu.my/25609/ http://irep.iium.edu.my/25609/ http://irep.iium.edu.my/25609/ http://irep.iium.edu.my/25609/4/ProcediaEng_1-s2.0-S1877705812025520-main.pdf |