RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM
With the advent of the 5G era, radio frequency identification (RFID) has been widely applied in various fields as one of the key technologies for the Internet of Things (IoT) to realize the Internet of Everything (IoE). In recent years, RFID-based motion sensing has emerged as an important research...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/17/7324 |
| _version_ | 1797581905368973312 |
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| author | Lei Han Xia Hua |
| author_facet | Lei Han Xia Hua |
| author_sort | Lei Han |
| collection | DOAJ |
| description | With the advent of the 5G era, radio frequency identification (RFID) has been widely applied in various fields as one of the key technologies for the Internet of Things (IoT) to realize the Internet of Everything (IoE). In recent years, RFID-based motion sensing has emerged as an important research area with great potential for development. In this paper, an RFID backscatter sport motion sensing scheme is proposed, which effectively solves the multi-classification problem by using the received signal strength (RSS) of the backscattered RFID and the error correcting output coding (ECOC)-based support vector machine (SVM). We conduct extensive experiments to validate the effectiveness of the proposed scheme, in which the signal intensities of different types of action poses are collected and the SVM is used as the classification algorithm to achieve high classification accuracies. |
| first_indexed | 2024-03-10T23:13:17Z |
| format | Article |
| id | doaj.art-57031e0bf775497194d43638aada3ff9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T23:13:17Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-57031e0bf775497194d43638aada3ff92023-11-19T08:48:19ZengMDPI AGSensors1424-82202023-08-012317732410.3390/s23177324RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVMLei Han0Xia Hua1Department of Physical Education, China University of Petroleum (East China), Qingdao 266580, ChinaDepartment of Physical Education, China University of Petroleum (East China), Qingdao 266580, ChinaWith the advent of the 5G era, radio frequency identification (RFID) has been widely applied in various fields as one of the key technologies for the Internet of Things (IoT) to realize the Internet of Everything (IoE). In recent years, RFID-based motion sensing has emerged as an important research area with great potential for development. In this paper, an RFID backscatter sport motion sensing scheme is proposed, which effectively solves the multi-classification problem by using the received signal strength (RSS) of the backscattered RFID and the error correcting output coding (ECOC)-based support vector machine (SVM). We conduct extensive experiments to validate the effectiveness of the proposed scheme, in which the signal intensities of different types of action poses are collected and the SVM is used as the classification algorithm to achieve high classification accuracies.https://www.mdpi.com/1424-8220/23/17/7324radio frequency identificationbackscattermotion sensingsupport vector machine |
| spellingShingle | Lei Han Xia Hua RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM Sensors radio frequency identification backscatter motion sensing support vector machine |
| title | RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM |
| title_full | RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM |
| title_fullStr | RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM |
| title_full_unstemmed | RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM |
| title_short | RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM |
| title_sort | rfid backscatter based sport motion sensing using ecoc based svm |
| topic | radio frequency identification backscatter motion sensing support vector machine |
| url | https://www.mdpi.com/1424-8220/23/17/7324 |
| work_keys_str_mv | AT leihan rfidbackscatterbasedsportmotionsensingusingecocbasedsvm AT xiahua rfidbackscatterbasedsportmotionsensingusingecocbasedsvm |