Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation
Visual or haptic feedback based on error modulation has been used to improve the effect of robot-assisted rehabilitation training. However, there are several investigations on the effects of error modulation-based visual and haptic feedback fusion strategies on motor learning and motivation. To obse...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2023-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2023/8974148 |
| _version_ | 1797771665283743744 |
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| author | Jingyan Meng Na Li Yang Hu Dazheng Zhao Guoning Li Jingyan Hu Tao Song Yehao Ma Rongzhen Fu Guokun Zuo Liang Tao Min Tang Yunfeng Liu Changcheng Shi |
| author_facet | Jingyan Meng Na Li Yang Hu Dazheng Zhao Guoning Li Jingyan Hu Tao Song Yehao Ma Rongzhen Fu Guokun Zuo Liang Tao Min Tang Yunfeng Liu Changcheng Shi |
| author_sort | Jingyan Meng |
| collection | DOAJ |
| description | Visual or haptic feedback based on error modulation has been used to improve the effect of robot-assisted rehabilitation training. However, there are several investigations on the effects of error modulation-based visual and haptic feedback fusion strategies on motor learning and motivation. To observe the influence of different feedback fusion strategies on motor learning and motivation, a parallel controlled study was conducted, dividing 30 healthy subjects into three groups with similar skill levels. The no error modulation group received visual and haptic feedback without error modulation; the visual amplification haptic reduction group received visual error amplification combined with haptic error reduction, and the visual reduction haptic amplification (VRHA) group received visual error reduction combined with haptic error amplification. Each subject implemented a trajectory-tracking task with an upper limb rehabilitation robot. They went through baseline, training, assessment, and generalization tests and completed 340 consecutive tracking movements. To evaluate motor learning and motivation, the average tracking error, the root mean square (RMS) of surface electromyography (sEMG) signals, and the intrinsic motivation inventory scale were all examined. In the assessment tests, the average tracking error was significantly decreased in all three groups. In particular, the VRHA group had a larger reduction in average tracking error in the generalization test, lower RMS of sEMG signals both in the assessment and generalization tests and higher perceived competence in the assessment tests. The VRHA fusion strategy significantly improved the subjects’ motor learning and transfer ability, decreased muscle activation, and increased motor learning motivation. These findings may provide some new insights for multisensory feedback fusion technology in the application of rehabilitation robots. |
| first_indexed | 2024-03-12T21:40:52Z |
| format | Article |
| id | doaj.art-e2531ef1d32e489e8fcfa68f675421ef |
| institution | Directory Open Access Journal |
| issn | 1754-2103 |
| language | English |
| last_indexed | 2024-03-12T21:40:52Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj.art-e2531ef1d32e489e8fcfa68f675421ef2023-07-27T00:00:04ZengHindawi LimitedApplied Bionics and Biomechanics1754-21032023-01-01202310.1155/2023/8974148Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and MotivationJingyan Meng0Na Li1Yang Hu2Dazheng Zhao3Guoning Li4Jingyan Hu5Tao Song6Yehao Ma7Rongzhen Fu8Guokun Zuo9Liang Tao10Min Tang11Yunfeng Liu12Changcheng Shi13College of Mechanical EngineeringNingbo Institute of Materials Technology and EngineeringCollege of Mechanical EngineeringCollege of Mechanical EngineeringNingbo Institute of Materials Technology and EngineeringNingbo Institute of Materials Technology and EngineeringNingbo Institute of Materials Technology and EngineeringNingbo University of TechnologyNingbo Institute of Materials Technology and EngineeringNingbo Institute of Materials Technology and EngineeringNingbo Rehabilitation HospitalNingbo Rehabilitation HospitalCollege of Mechanical EngineeringNingbo Institute of Materials Technology and EngineeringVisual or haptic feedback based on error modulation has been used to improve the effect of robot-assisted rehabilitation training. However, there are several investigations on the effects of error modulation-based visual and haptic feedback fusion strategies on motor learning and motivation. To observe the influence of different feedback fusion strategies on motor learning and motivation, a parallel controlled study was conducted, dividing 30 healthy subjects into three groups with similar skill levels. The no error modulation group received visual and haptic feedback without error modulation; the visual amplification haptic reduction group received visual error amplification combined with haptic error reduction, and the visual reduction haptic amplification (VRHA) group received visual error reduction combined with haptic error amplification. Each subject implemented a trajectory-tracking task with an upper limb rehabilitation robot. They went through baseline, training, assessment, and generalization tests and completed 340 consecutive tracking movements. To evaluate motor learning and motivation, the average tracking error, the root mean square (RMS) of surface electromyography (sEMG) signals, and the intrinsic motivation inventory scale were all examined. In the assessment tests, the average tracking error was significantly decreased in all three groups. In particular, the VRHA group had a larger reduction in average tracking error in the generalization test, lower RMS of sEMG signals both in the assessment and generalization tests and higher perceived competence in the assessment tests. The VRHA fusion strategy significantly improved the subjects’ motor learning and transfer ability, decreased muscle activation, and increased motor learning motivation. These findings may provide some new insights for multisensory feedback fusion technology in the application of rehabilitation robots.http://dx.doi.org/10.1155/2023/8974148 |
| spellingShingle | Jingyan Meng Na Li Yang Hu Dazheng Zhao Guoning Li Jingyan Hu Tao Song Yehao Ma Rongzhen Fu Guokun Zuo Liang Tao Min Tang Yunfeng Liu Changcheng Shi Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation Applied Bionics and Biomechanics |
| title | Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation |
| title_full | Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation |
| title_fullStr | Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation |
| title_full_unstemmed | Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation |
| title_short | Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation |
| title_sort | effects of error modulation based visual and haptic feedback fusion strategies on motor learning and motivation |
| url | http://dx.doi.org/10.1155/2023/8974148 |
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