Mintal Flavian A, Szucs Veronika, Sik-Lanyi Cecília
Stud Health Technol Inform. 2015;217:773-81.
The topic of this article and work was to create an application for movement therapy, which can help the rehabilitation of stroke patients. The application makes it possible to make unique exercises for different patients, adapting to the special personal needs. The developed real time gesture analyzing algorithm works in the background of the application, which has not yet spread on the field of medical devices. I deal with one part of this wide field in my dissertation, with the rehabilitation gesture analyzing. The data received from the Kinect sensor is processed by a location based gesture analyzing algorithm, and the results show that the software is suitable for the improvement of the rehabilitation process. It was a key aspect to create a simple interface. I achieved this with the use of the C# language and WPF technology.
本文及相关工作的主题是创建一个用于运动疗法的应用程序,该程序可以帮助中风患者康复。该应用程序能够为不同患者定制独特的练习,以适应特殊的个人需求。所开发的实时手势分析算法在应用程序的后台运行,这在医疗设备领域尚未普及。我在论文中探讨了这个广阔领域的一个部分,即康复手势分析。从Kinect传感器接收到的数据由基于位置的手势分析算法进行处理,结果表明该软件适用于改善康复过程。创建一个简单的界面是一个关键方面。我通过使用C#语言和WPF技术实现了这一点。