Muscle-synergy for human-robot control, wearable devices and computer animation: a survey
Known studies in neurosciences have discovered that locomotion or motor tasks in humans involve the central nervous system (CNS) to manage activation signals for several groups of muscles. The CNS produces coordinated activation patterns, known as muscle synergy, that reduce the number of control si...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Semarak Ilmu
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118536/ http://psasir.upm.edu.my/id/eprint/118536/1/118536.pdf |
| _version_ | 1848867538556944384 |
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| author | Mohd, Muhammad Fuad Ali, Siti Khadijah Sulaiman, Puteri Suhaiza Ishak, Asnor Juraiza Dewi, Ika Parma |
| author_facet | Mohd, Muhammad Fuad Ali, Siti Khadijah Sulaiman, Puteri Suhaiza Ishak, Asnor Juraiza Dewi, Ika Parma |
| author_sort | Mohd, Muhammad Fuad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Known studies in neurosciences have discovered that locomotion or motor tasks in humans involve the central nervous system (CNS) to manage activation signals for several groups of muscles. The CNS produces coordinated activation patterns, known as muscle synergy, that reduce the number of control signals by combining them into sets of activation signals. Muscle synergy is possible to be observed via electromyography (EMG) and can be extracted from the EMG data through factorization. As several factorization methods can be used to extract muscle synergies, non-negative matrix factorization (NMF) was suggested best for active tasks. While the concept of muscle synergy has been adapted in various disciplines such as healthcare, engineeringandcomputer graphics, this narrative review discusses how muscle synergy has benefited them. Application involving muscle synergies is presented that focuses on muscular rehabilitation, human-robot control, prostheses assistive devicesandgraphical animation. Finally, future research is conjectured about technical challenges and prospects of muscle synergy |
| first_indexed | 2025-11-15T14:38:05Z |
| format | Article |
| id | upm-118536 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:38:05Z |
| publishDate | 2024 |
| publisher | Semarak Ilmu |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1185362025-07-16T06:52:39Z http://psasir.upm.edu.my/id/eprint/118536/ Muscle-synergy for human-robot control, wearable devices and computer animation: a survey Mohd, Muhammad Fuad Ali, Siti Khadijah Sulaiman, Puteri Suhaiza Ishak, Asnor Juraiza Dewi, Ika Parma Known studies in neurosciences have discovered that locomotion or motor tasks in humans involve the central nervous system (CNS) to manage activation signals for several groups of muscles. The CNS produces coordinated activation patterns, known as muscle synergy, that reduce the number of control signals by combining them into sets of activation signals. Muscle synergy is possible to be observed via electromyography (EMG) and can be extracted from the EMG data through factorization. As several factorization methods can be used to extract muscle synergies, non-negative matrix factorization (NMF) was suggested best for active tasks. While the concept of muscle synergy has been adapted in various disciplines such as healthcare, engineeringandcomputer graphics, this narrative review discusses how muscle synergy has benefited them. Application involving muscle synergies is presented that focuses on muscular rehabilitation, human-robot control, prostheses assistive devicesandgraphical animation. Finally, future research is conjectured about technical challenges and prospects of muscle synergy Semarak Ilmu 2024-12-17 Article PeerReviewed text en cc_by_nc_4 http://psasir.upm.edu.my/id/eprint/118536/1/118536.pdf Mohd, Muhammad Fuad and Ali, Siti Khadijah and Sulaiman, Puteri Suhaiza and Ishak, Asnor Juraiza and Dewi, Ika Parma (2024) Muscle-synergy for human-robot control, wearable devices and computer animation: a survey. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62 (2). pp. 213-244. ISSN 2462-1943 https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/13369 10.37934/araset.62.2.231244 |
| spellingShingle | Mohd, Muhammad Fuad Ali, Siti Khadijah Sulaiman, Puteri Suhaiza Ishak, Asnor Juraiza Dewi, Ika Parma Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title | Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title_full | Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title_fullStr | Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title_full_unstemmed | Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title_short | Muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| title_sort | muscle-synergy for human-robot control, wearable devices and computer animation: a survey |
| url | http://psasir.upm.edu.my/id/eprint/118536/ http://psasir.upm.edu.my/id/eprint/118536/ http://psasir.upm.edu.my/id/eprint/118536/ http://psasir.upm.edu.my/id/eprint/118536/1/118536.pdf |