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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Luar Biasa Jurnal Pijar MIPA
Mawaddah, Tarisya
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Biochemistry, Genetics & Molecular Biology Chemistry Mathematics Physics

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Development of Computer Vision-based Visual Feedback Assistive Technology for Fine Motor Improvement in Children with Cerebral Palsy Mawaddah, Tarisya; Sartinah, Endang Pudjiastuti; Wagino, Wagino
Jurnal Pijar Mipa Vol. 20 No. 1 (2025)
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v20i1.8298

Abstract

Cerebral Palsy (CP) is a neuromotor condition that affects fine motor development, causing barriers to daily activities such as writing and grasping. This research develops an assistive technology that utilizes motion sensors to provide real-time visual feedback, which helps children understand and correct movements more effectively. The technology improves movement precision and coordination in motor skills, learner engagement, and structured monitoring of skill improvement. The uniqueness of this research lies in integrating computer vision technology with an interactive design that allows CP children to perform motor exercises and engage them in a more personalized and adaptive learning process. The Research and Development (R&D) method was used in the development, involving validating material experts, media experts, and educational practitioners. The results of media development show that assistive technology is feasible to use in improving the fine motor skills of children with cerebral palsy. Material experts stated an average value of 3.92, which was accumulated in percentage to 98.21%; media experts obtained results of 3.71, which was collected in percentage to 92.85%; and expert practitioners stated an average value of 3.93, which was accumulated in percentage to 98.43%. The assistive technology developed is worth testing in improving the fine motor skills of cerebral palsy children. This technology is expected to solve motor and coordination training issues at school and home. With a more interactive and fun approach, CP children can be more motivated to practice so that their motor skills can develop better.
Assistive Technology Innovation Based on Visual Feedback and Computer Vision to Improve Fine Motor Skills in Children with Cerebral Palsy Mawaddah, Tarisya
Jurnal Penelitian dan Pengembangan Pendidikan Luar Biasa Vol 12, No 1 (2025): July
Publisher : Department of Special Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um029v12i12025p81-88

Abstract

Cerebral Palsy (CP) affects fine motor development, causing obstacles in daily activities. Existing assistive technologies are often not interactive or adaptive enough, hindering independent learning in children with CP. Fine motor issues in learning are also related to a lack of engaging exercise methods. This research develops assistive technology based on visual feedback and computer vision as an innovative solution to improve fine motor skills in children with CP. This technology utilizes motion sensors for real-time visual feedback, helping children understand and correct movements effectively. The Research and Development (R&D) method was employed, focusing on needs analysis, design, and prototype development using the ADDIE model. Validation results demonstrated the system's feasibility and effectiveness. Subject matter experts scored an average of 3.75, media experts 3.5, and education practitioners 3.67. Trials at SLB ACD Pertiwi Mojokerto showed increased motivation and engagement among children during exercises. This technology is expected to become an effective solution for motor and coordination exercises at school and at home, motivating children with CP to practice and develop their motor skills.
Co-Authors Endang Pudjiastuti Sartinah Wagino