Rehabilitation exercises performed by children with cerebral palsy are tedious and repetitive. To make them more engaging, we propose to use an exergame approach, where an adaptive application can help the child remain stimulated and interested during exercises. In this paper, we describe how the mobile phone sensors can be used to classify wrist movements of the user during the rehabilitation exercises to detect if the user is performing the correct exercise and illustrate the use of our approach in an actual mobile phone application. We also show how an adaptive difficulty system was added to the application to allow the system to adjust to the user. We present experimental results from a pilot with healthy subjects that were constrained to simulate restricted wrist movements, as well as from tests with a target group of children with cerebral palsy. Our results show that wrist movement classification is successfully achieved and results in improved interactions.

翻译：脑瘫儿童进行的康复训练往往单调且重复。为增强其趣味性，我们提出一种体感游戏方法，通过自适应应用程序帮助儿童在训练过程中保持刺激感与兴趣。本文阐述了如何利用手机传感器对用户在康复训练中的手腕运动进行分类，以判断用户是否执行正确动作，并展示了该方法在真实手机应用中的使用。同时，我们介绍了在应用中添加自适应难度系统的方法，使系统能够根据用户进行调整。我们展示了来自健康受试者（受限于模拟手腕运动受限条件）的初步实验结果，以及针对脑瘫儿童目标群体的测试结果。结果表明，手腕运动分类已成功实现，并有效改善了交互效果。