Survey on Human Activity Recognition using Smartphone
The field of Human Activity Recognition (HAR) is an active research field in which methods are being developed to understand human behavior by interpreting features obtained from various sources, these activities can be recognized using interactive sensors that are affected by human movement. Sensor...
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| Format: | Article |
| Language: | English |
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Mosul University
2021-06-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.uomosul.edu.iq/article_168253_277daf6f076b52909203247ffcf69890.pdf |
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| _version_ | 1849696355652468736 |
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| author | Adeeba KH Laheeb Ibrahim |
| author_facet | Adeeba KH Laheeb Ibrahim |
| author_sort | Adeeba KH |
| collection | DOAJ |
| description | The field of Human Activity Recognition (HAR) is an active research field in which methods are being developed to understand human behavior by interpreting features obtained from various sources, these activities can be recognized using interactive sensors that are affected by human movement. Sensor can embed elements within Smartphones or Personal Digital Assistants (PDAs). The great increase in smart phone users and the increase in the sensor ability of these smart phones, and users usually carry their smartphones with them. This fact makes HAR more important and accepted.
In this survey, A number of previous studies were studied and analyzed, where we prepared a comparison of the research works conducted over the period 2010-2020 in human activity recognition using Smartphone sensors. Comparison charts highlight their most important aspects such as a type of sensor used, activities, sensor placement, HAR- system type (offline, online), computing device, classifier (type of algorithms) and system accuracy levels.
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| format | Article |
| id | doaj-art-6286951c2c7c4c5a92cabc5b004d0f9f |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-6286951c2c7c4c5a92cabc5b004d0f9f2025-08-20T03:19:29ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902021-06-01151556710.33899/csmj.2021.168253168253Survey on Human Activity Recognition using SmartphoneAdeeba KH0Laheeb Ibrahim1College of Computer Science & Math. , University of Mosul.College of Computer Science and Mathematics University of Mosul, Mosul, IraqThe field of Human Activity Recognition (HAR) is an active research field in which methods are being developed to understand human behavior by interpreting features obtained from various sources, these activities can be recognized using interactive sensors that are affected by human movement. Sensor can embed elements within Smartphones or Personal Digital Assistants (PDAs). The great increase in smart phone users and the increase in the sensor ability of these smart phones, and users usually carry their smartphones with them. This fact makes HAR more important and accepted. In this survey, A number of previous studies were studied and analyzed, where we prepared a comparison of the research works conducted over the period 2010-2020 in human activity recognition using Smartphone sensors. Comparison charts highlight their most important aspects such as a type of sensor used, activities, sensor placement, HAR- system type (offline, online), computing device, classifier (type of algorithms) and system accuracy levels. https://csmj.uomosul.edu.iq/article_168253_277daf6f076b52909203247ffcf69890.pdfactivitieshuman activity recognitioncomparisonsensorssmartphone |
| spellingShingle | Adeeba KH Laheeb Ibrahim Survey on Human Activity Recognition using Smartphone Al-Rafidain Journal of Computer Sciences and Mathematics activities human activity recognition comparison sensors smartphone |
| title | Survey on Human Activity Recognition using Smartphone |
| title_full | Survey on Human Activity Recognition using Smartphone |
| title_fullStr | Survey on Human Activity Recognition using Smartphone |
| title_full_unstemmed | Survey on Human Activity Recognition using Smartphone |
| title_short | Survey on Human Activity Recognition using Smartphone |
| title_sort | survey on human activity recognition using smartphone |
| topic | activities human activity recognition comparison sensors smartphone |
| url | https://csmj.uomosul.edu.iq/article_168253_277daf6f076b52909203247ffcf69890.pdf |
| work_keys_str_mv | AT adeebakh surveyonhumanactivityrecognitionusingsmartphone AT laheebibrahim surveyonhumanactivityrecognitionusingsmartphone |