Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment
In traditional hand function assessment, patients and physicians always need to accomplish complex activities and rating tasks. This paper proposes a novel wearable glove system for hand function assessment. A sensing system consisting of 12 nine-axis inertial and magnetic unit (IMMU) sensors is use...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/12/4/362 |
| _version_ | 1797539829523677184 |
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| author | Fei Fei Sifan Xian Xiaojian Xie Changcheng Wu Dehua Yang Kuiying Yin Guanglie Zhang |
| author_facet | Fei Fei Sifan Xian Xiaojian Xie Changcheng Wu Dehua Yang Kuiying Yin Guanglie Zhang |
| author_sort | Fei Fei |
| collection | DOAJ |
| description | In traditional hand function assessment, patients and physicians always need to accomplish complex activities and rating tasks. This paper proposes a novel wearable glove system for hand function assessment. A sensing system consisting of 12 nine-axis inertial and magnetic unit (IMMU) sensors is used to obtain the acceleration, angular velocity, and geomagnetic orientation of human hand movements. A complementary filter algorithm is applied to calculate the angles of joints after sensor calibration. A virtual hand model is also developed to map with the glove system in the Unity platform. The experimental results show that this glove system can capture and reproduce human hand motions with high accuracy. This smart glove system is expected to reduce the complexity and time consumption of hand kinematics assessment. |
| first_indexed | 2024-03-10T12:51:25Z |
| format | Article |
| id | doaj.art-91768fcf2d6d413b9ec3e4199949cd68 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T12:51:25Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-91768fcf2d6d413b9ec3e4199949cd682023-11-21T13:04:02ZengMDPI AGMicromachines2072-666X2021-03-0112436210.3390/mi12040362Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics AssessmentFei Fei0Sifan Xian1Xiaojian Xie2Changcheng Wu3Dehua Yang4Kuiying Yin5Guanglie Zhang6College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaNanjing Research Institute of Electronic Technology, Nanjing 210013, ChinaDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, ChinaIn traditional hand function assessment, patients and physicians always need to accomplish complex activities and rating tasks. This paper proposes a novel wearable glove system for hand function assessment. A sensing system consisting of 12 nine-axis inertial and magnetic unit (IMMU) sensors is used to obtain the acceleration, angular velocity, and geomagnetic orientation of human hand movements. A complementary filter algorithm is applied to calculate the angles of joints after sensor calibration. A virtual hand model is also developed to map with the glove system in the Unity platform. The experimental results show that this glove system can capture and reproduce human hand motions with high accuracy. This smart glove system is expected to reduce the complexity and time consumption of hand kinematics assessment.https://www.mdpi.com/2072-666X/12/4/362hand rehabilitationdata gloveinertial sensorskinematics evaluation |
| spellingShingle | Fei Fei Sifan Xian Xiaojian Xie Changcheng Wu Dehua Yang Kuiying Yin Guanglie Zhang Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment Micromachines hand rehabilitation data glove inertial sensors kinematics evaluation |
| title | Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment |
| title_full | Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment |
| title_fullStr | Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment |
| title_full_unstemmed | Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment |
| title_short | Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment |
| title_sort | development of a wearable glove system with multiple sensors for hand kinematics assessment |
| topic | hand rehabilitation data glove inertial sensors kinematics evaluation |
| url | https://www.mdpi.com/2072-666X/12/4/362 |
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