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Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees

机译:乐观:增强现实引导的上肢康复的假体康复的舞蹈

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摘要

Unsuccessful rehabilitation therapy is a widespread issue amongst modern day amputees. Of the estimated 10 million amputees worldwide, 3 million of whom are upper limb amputees, a large majority are discontent and experience rejection with their current prosthesis during activities of daily living (ADL). Here we introduce Upbeat, an augmented reality (AR) dance game designed to improve rehabilitation therapies in upper limb amputees. In Upbeat, the patient is instructed to follow a virtual dance instructor, performing choreographed dance movements containing hand gestures involved in upper limb rehabilitation therapy. The patient's position is then tracked using a Microsoft Kinect sensor while the hand gestures are analyzed using EMG data collected from a Myo Armband. Additionally, a gamified score is calculated based on how many gestures and movements were correctly performed. Upon completion of the game, a diagnostic summary of the results is shown in the form of a graph summarizing the collected EMG data, as well as with a video displaying an augmented visualization of the patient's upper arm muscle activity during gameplay. By gamifying the rehabilitation process, Upbeat has the potential to improve therapy on upper limb amputees by enabling the start of rehabilitation immediately after trauma, providing personalized feedback which professionals can utilize to accurately assess patient's progress, and increasing patient excitement, therefore increasing patient willingness to complete rehabilitation. This paper is concerned with the description and evaluation of our prototypic implementation of Upbeat that will serve as the basis for conducting clinical studies to evaluate its impact on rehabilitation.
机译:不成功的康复治疗是现代常规日期间的普遍存在问题。在全球范围内的估计估计的1000万令人愉快,其中300万是上肢令人愉快的,大多数是在日常生活活动(ADL)活动期间与他们目前假肢的不满,经历拒绝。在这里,我们介绍了一个增强的现实(AR)舞蹈游戏,旨在改善上肢中的康复疗法。在乐观上,指示患者遵循虚拟舞蹈教练,执行包含上肢康复治疗的手势的舞蹈舞蹈动作。然后使用Microsoft Kinect传感器跟踪患者的位置,而使用从Myo臂带收集的EMG数据分析手势。另外,基于正确执行了多少手势和移动来计算游戏分数。在完成游戏后,结果的诊断摘要以汇总收集的EMG数据的图表的形式示出,以及在游戏过程中显示患者上臂肌肉活动的增强可视化的视频。通过梳理康复过程,通过在创伤后立即启动康复,提供个性化的反馈,提供了康复的康复治疗,该专业人员可以利用能够准确评估患者的进展,并增加患者兴奋,因此提高患者兴奋,因此提高患者的进展,以及增加患者兴奋的疗效,从而提高患有康复的治疗。完全康复。本文涉及我们对乐观化的原型实施的描述和评估,这将是进行临床研究以评估其对康复的影响的基础。

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