Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor
In order to track the limb movement trajectory of gymnasts, a method based on MEMS inertial sensor is proposed. The system mainly collects the acceleration and angular velocity data of 11 positions during gymnastics by constructing sensor network. Based on the two kinds of preprocessed data, the par...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/5292454 |
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| author | Peng Li Jihe Zhou |
| author_facet | Peng Li Jihe Zhou |
| author_sort | Peng Li |
| collection | DOAJ |
| description | In order to track the limb movement trajectory of gymnasts, a method based on MEMS inertial sensor is proposed. The system mainly collects the acceleration and angular velocity data of 11 positions during gymnastics by constructing sensor network. Based on the two kinds of preprocessed data, the parameters such as sample mean, standard deviation, information entropy, and mean square error are calculated as classification features, the support vector machine (SVM) classification model is established, and the movements of six kinds of gymnastics are effectively recognized. The experimental results show that when the human body is doing gymnastics, the measured three-axis acceleration values are between -0.5 g~2.2 g, -1 g~2.8 g, and -1.8 g~1 g, respectively, and the static error range accounts for only 1.6%~2% of the actual measured data range. Therefore, it is considered that such static error has little effect on the accuracy of data feature extraction and action recognition, which can be ignored. It is proved that MEMS inertial sensor can effectively track the movement trajectory of gymnasts’ limbs. |
| format | Article |
| id | doaj-art-779908f981d94284ae9c527e758d35c0 |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-779908f981d94284ae9c527e758d35c02025-02-03T01:06:34ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/5292454Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial SensorPeng Li0Jihe Zhou1College of Physical Education and HealthCollege of Sports Medicine and HealthIn order to track the limb movement trajectory of gymnasts, a method based on MEMS inertial sensor is proposed. The system mainly collects the acceleration and angular velocity data of 11 positions during gymnastics by constructing sensor network. Based on the two kinds of preprocessed data, the parameters such as sample mean, standard deviation, information entropy, and mean square error are calculated as classification features, the support vector machine (SVM) classification model is established, and the movements of six kinds of gymnastics are effectively recognized. The experimental results show that when the human body is doing gymnastics, the measured three-axis acceleration values are between -0.5 g~2.2 g, -1 g~2.8 g, and -1.8 g~1 g, respectively, and the static error range accounts for only 1.6%~2% of the actual measured data range. Therefore, it is considered that such static error has little effect on the accuracy of data feature extraction and action recognition, which can be ignored. It is proved that MEMS inertial sensor can effectively track the movement trajectory of gymnasts’ limbs.http://dx.doi.org/10.1155/2022/5292454 |
| spellingShingle | Peng Li Jihe Zhou Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor Applied Bionics and Biomechanics |
| title | Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor |
| title_full | Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor |
| title_fullStr | Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor |
| title_full_unstemmed | Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor |
| title_short | Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor |
| title_sort | tracking of gymnast s limb movement trajectory based on mems inertial sensor |
| url | http://dx.doi.org/10.1155/2022/5292454 |
| work_keys_str_mv | AT pengli trackingofgymnastslimbmovementtrajectorybasedonmemsinertialsensor AT jihezhou trackingofgymnastslimbmovementtrajectorybasedonmemsinertialsensor |