Exergames are serious games that involve physical exertion and are thought of as a form of exercise by using novel input models. Exergames are promising in improving the vestibular differences of children with autism but often lack of adaptation mechanisms that adjust the difficulty level of the exergame. In this paper, we present the design and development of Circus in Motion, a multimodal exergame supporting children with autism with the practice of non-locomotor movements. We describe how the data from a 3D depth camera enables the tracking of non-locomotor movements allowing children to naturally interact with the exergame . A controlled experiment with 12 children with autism shows Circus in Motion excels traditional vestibular therapies in increasing physical activation and the number of movements repetitions. We show how data from real-time usage of Circus in Motion could be used to feed a fuzzy logic model that can adjust the difficulty level of the exergame according to each childs motor performance. We close discussing open challenges and opportunities of multimodal exergames to support motor therapeutic interventions for children with autism in the long-term.

Exergames是涉及体力活动的严肃游戏，通过使用新颖的输入模型被认为是一种锻炼。益智游戏有望改善自闭症儿童的前庭差异，但往往缺乏适应机制，无法调节益智游戏的难度。在本文中，我们介绍了“马戏团运动”的设计和开发，这是一种多模式游戏，它通过非运动动作来支持自闭症儿童。我们将描述来自3D深度相机的数据如何跟踪非运动性运动，从而使儿童自然地与运动游戏互动。一项针对12名自闭症儿童的对照实验表明，马戏团运动在增加身体活动和重复动作次数方面优于传统的前庭疗法。我们展示了如何实时使用“马戏团运动”中的数据来提供模糊逻辑模型，该模型可以根据每个孩子的运动表现来调整游戏的难度。我们将长期讨论多模式游戏的开放挑战和机遇，以支持自闭症儿童的运动疗法。