A framework for adaptive training and games in virtual reality rehabilitation environments
A framework for adaptive training and games in virtual reality rehabilitation environments
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虚拟现实康复环境中的自适应训练和游戏框架
DOI：
10.1145/2087756.2087810
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
A. Basu
中科院分区：
文献类型：
--
作者：
N. Rossol;I. Cheng;W. Bischof;A. Basu
对严重残疾人进行使用电动轮椅的培训带来了许多挑战，特别是对儿童而言。在专家和资源有限的环境中，在每个病人的基础上调整设备和训练，往往会减少每个病人的训练时间。最近，虚拟现实康复已被证明是补充患者康复的一种有效方法，尽管仍然存在一些重要的挑战，包括高昂的设置/设备成本以及随着患者病情的改善而对模拟进行耗时的持续调整。我们提出了一种灵活的、低成本的康复系统的设计，它使用虚拟现实培训和游戏来让患者参与到使用电动轮椅的有效指导中。提出了一种基于贝叶斯网络的虚拟康复环境自适应训练框架。用户评估的初步结果和我们康复专家合作者的反馈支持了我们方法的有效性。
The training of severely disabled individuals on the use of electric power wheelchairs creates many challenges, particularly in the case of children. The adjustment of equipment and training on a per-patient basis in an environment with limited specialists and resources often leads to a reduced amount of training time per patient. Virtual reality rehabilitation has recently been proven an effective way to supplement patient rehabilitation, although some important challenges remain including high setup/equipment costs and time-consuming continual adjustments to the simulation as patients improve. We propose a design for a flexible, low-cost rehabilitation system that uses virtual reality training and games to engage patients in effective instruction on the use of powered wheelchairs. We also propose a novel framework based on Bayesian networks for self-adjusting adaptive training in virtual rehabilitation environments. Preliminary results from a user evaluation and feedback from our rehabilitation specialist collaborators support the effectiveness of our approach.