@inproceedings{fc4284e15f914f95905f218ad42bedb6,
title = "Customisable Lower Limb Rehabilitation Carpet for Children with Cerebral Palsy",
abstract = "Cerebral Palsy (CP) affects motor coordination, resulting in slow walking and irregular step and stride lengths. Effective rehabilitation exercises are essential for strengthening leg muscles and enhancing mobility in children with CP. However, traditional hospital rehabilitation programs often lack engagement, making it challenging for children to maintain consistent participation. Additionally, many advanced lower extremity rehabilitation systems remain largely inaccessible. This study introduces an interactive gaming carpet combined with intelligent gait pattern analysis to enhance rehabilitation efforts. The gaming carpet employs visual and auditory cues to train leg coordination and correct stepping patterns, making the exercises more engaging for children. Meanwhile, the intelligent gait analysis system provides therapists with objective data to assess conditions and develop personalized exercise plans. Initial tests indicate that this system effectively engages children and improves adherence to rehabilitation exercises, while also providing accurate progress monitoring. This innovative approach demonstrates significant potential for integrating game-based interventions and data analysis into CP rehabilitation, offering practical solutions for both clinical and home-based settings.",
keywords = "Cerebral palsy rehabilitation, Interactive gaming carpet, Lower limb training, Motion Analysis",
author = "Yaxuan Liu and Yijia An and Keming Zhang and {Ten Bh{\"o}mer}, Martijn and Qinglei Bu and Jie Sun and Siyuan Chen",
year = "2024",
doi = "10.1145/3696762.3698050",
language = "English",
isbn = "9798400712784",
series = "ISS Companion '24",
publisher = "Association for Computing Machinery",
pages = "42–47",
booktitle = "Companion Proceedings of the 2024 Conference on Interactive Surfaces and Spaces",
}