Close range depth sensing cameras for virtual reality based hand rehabilitation

D. Charles, K. Pedlow, S. McDonough, Ka-yan. Shek, T. Charles
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引用次数: 22

Abstract

Purpose – The Leap Motion represents a new generation of depth sensing cameras designed for close range tracking of hands and fingers, operating with minimal latency and high spatial precision (0.01 mm). The purpose of this paper is to develop virtual reality (VR) simulations of three well-known hand-based rehabilitation tasks using a commercial game engine and utilising a Leap camera as the primary mode of interaction. The authors present results from an initial evaluation by professional clinicians of these VR simulations for use in their hand and finger physical therapy practice. Design/methodology/approach – A cross-disciplinary team of researchers collaborated with a local software company to create three dimension interactive simulations of three hand focused rehabilitation tasks: Cotton Balls, Stacking Blocks, and the Nine Hole Peg Test. These simulations were presented to a group of eight physiotherapists and occupational therapists (n=8) based in the Regional Acquired Brain Injury Unit, Belfast H...
基于虚拟现实的手部康复近距离深度感测相机
Leap Motion代表了新一代深度感测相机,专为近距离跟踪手和手指而设计,具有最小的延迟和高空间精度(0.01 mm)。本文的目的是利用商业游戏引擎和Leap相机作为主要交互模式,开发三种著名的手部康复任务的虚拟现实(VR)模拟。作者介绍了专业临床医生对这些VR模拟在他们的手部和手指物理治疗实践中使用的初步评估结果。设计/方法/方法-一个跨学科的研究团队与当地一家软件公司合作,创建了三个手部康复任务的三维交互式模拟:棉球、堆叠块和九孔钉测试。这些模拟被提交给一组8名物理治疗师和职业治疗师(n=8),他们来自贝尔法斯特医院的区域获得性脑损伤部门。
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