The ever-growing and widespread use of touch, face, full-body, and 3D mid-air gesture recognition sensors in domestic and industrial settings is serving to highlight whether interactive gestures are sufficiently inclusive, and whether or not they can be executed by all users. The purpose of this study was to analyze full-body gestures from the point of view of user experience using the Microsoft Kinect sensor, to identify which gestures are easy for individuals living with Down syndrome. With this information, app developers can satisfy Design for All (DfA) requirements by selecting suitable gestures from existing lists of gesture sets. A set of twenty full-body gestures were analyzed in this study; to do so, the research team developed an application to measure the success/failure rates and execution times of each gesture. The results show that the failure rate for gesture execution is greater than the success rate, and that there is no difference between male and female participants in terms of execution times or the successful execution of gestures. Through this study, we conclude that, in general, people living with Down syndrome are not able to perform certain full-body gestures correctly. This is a direct consequence of limitations resulting from characteristic physical and motor impairments. As a consequence, the Microsoft Kinect sensor cannot identify the gestures. It is important to remember this fact when developing gesture-based on Human Computer Interaction (HCI) applications that use the Kinect sensor as an input device when the apps are going to be used by people who have such disabilities.

中文翻译：

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唐氏综合症患者的全身姿势评估：基于Kinect传感器设计所有人的用户界面的建议。

在家庭和工业环境中，触摸，面部，全身和3D空中手势识别传感器的不断增长和广泛使用，凸显了交互式手势是否具有足够的包容性，以及是否可以由所有人执行用户。这项研究的目的是使用Microsoft Kinect传感器从用户体验的角度分析全身手势，以识别哪些手势易于患有唐氏综合症的人。有了这些信息，应用程序开发人员可以通过从手势集的现有列表中选择合适的手势来满足“全民设计（DfA）”的要求。在这项研究中分析了一组二十种全身手势。为此，研究团队开发了一个应用程序来测量每个手势的成功/失败率和执行时间。结果表明，手势执行的失败率大于成功率，男女参与者在执行时间或手势成功执行方面没有差异。通过这项研究，我们得出结论，一般而言，患有唐氏综合症的人无法正确执行某些全身手势。这是由于典型的身体和运动障碍导致的限制的直接结果。结果，Microsoft Kinect传感器无法识别手势。在开发基于手势的基于人机交互（HCI）的应用程序时，请记住这一事实，当有残障人士使用该应用程序时，请使用Kinect传感器作为输入设备。