New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion
Observation of human joint motion plays an important role in many fields. The results of the human links can provide information about musculoskeletal parameters. Some devices can track real-time joint movement in the human body during essential daily activities, sports, and rehabilitation with memo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/12/5712 |
| _version_ | 1797592634456276992 |
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| author | Thang Hoang Yaojung Shiao |
| author_facet | Thang Hoang Yaojung Shiao |
| author_sort | Thang Hoang |
| collection | DOAJ |
| description | Observation of human joint motion plays an important role in many fields. The results of the human links can provide information about musculoskeletal parameters. Some devices can track real-time joint movement in the human body during essential daily activities, sports, and rehabilitation with memory for storing the information concerning the body. Based on the algorithm for signal features, the collected data can reveal the conditions of multiple physical and mental health issues. This study proposes a novel method for monitoring human joint motion at a low cost. We propose a mathematical model to analyze and simulate the joint motion of a human body. The model can be applied to an Inertial Measurement Unit (IMU) device for tracking dynamic joint motion of a human. Finally, the combination of image-processing technology was used to verify the results of model estimation. Moreover, the verification showed that the proposed method can estimate joint motions properly with reduced-number IMUs. |
| first_indexed | 2024-03-11T01:56:56Z |
| format | Article |
| id | doaj.art-50674da553634e28aee0c8a0d35f2303 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T01:56:56Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-50674da553634e28aee0c8a0d35f23032023-11-18T12:35:01ZengMDPI AGSensors1424-82202023-06-012312571210.3390/s23125712New Method for Reduced-Number IMU Estimation in Observing Human Joint MotionThang Hoang0Yaojung Shiao1Faculty of Transportation Mechanical Engineering, The University of Danang-University of Science and Technology, Danang 550000, VietnamDepartment of Vehicle Engineering, National Taipei University of Technology, Taipei 106344, TaiwanObservation of human joint motion plays an important role in many fields. The results of the human links can provide information about musculoskeletal parameters. Some devices can track real-time joint movement in the human body during essential daily activities, sports, and rehabilitation with memory for storing the information concerning the body. Based on the algorithm for signal features, the collected data can reveal the conditions of multiple physical and mental health issues. This study proposes a novel method for monitoring human joint motion at a low cost. We propose a mathematical model to analyze and simulate the joint motion of a human body. The model can be applied to an Inertial Measurement Unit (IMU) device for tracking dynamic joint motion of a human. Finally, the combination of image-processing technology was used to verify the results of model estimation. Moreover, the verification showed that the proposed method can estimate joint motions properly with reduced-number IMUs.https://www.mdpi.com/1424-8220/23/12/5712joint motionmotion recognitionInertial Measurement Unit (IMU) |
| spellingShingle | Thang Hoang Yaojung Shiao New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion Sensors joint motion motion recognition Inertial Measurement Unit (IMU) |
| title | New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion |
| title_full | New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion |
| title_fullStr | New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion |
| title_full_unstemmed | New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion |
| title_short | New Method for Reduced-Number IMU Estimation in Observing Human Joint Motion |
| title_sort | new method for reduced number imu estimation in observing human joint motion |
| topic | joint motion motion recognition Inertial Measurement Unit (IMU) |
| url | https://www.mdpi.com/1424-8220/23/12/5712 |
| work_keys_str_mv | AT thanghoang newmethodforreducednumberimuestimationinobservinghumanjointmotion AT yaojungshiao newmethodforreducednumberimuestimationinobservinghumanjointmotion |