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A new measurement methodology of multi-finger tracking for handheld device control using mixed reality

机译:使用混合现实控制手持设备控制的多指跟踪的新测量方法

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This paper proposes a new method to measure a hand and its multi-finger positions when a user is manipulating button controls of a handheld device. We developed SPIDAR-Hand(Space Interface Device for Artificial Reality simulating Handheld Device Usability) for tracking each fingertip positions and giving force feedback to each finger tip by combining AR technique for pinking up the hand movement. When using a handheld device, user commonly press a button by his or her thumb while grasping the device body with other fingers. The SPIDAR-Hand calculates a 3D position of each fingertip besides thumb using the lengths of three strings and the thumb with four strings in order to improve the accuracy. We introduce an AR technique for monitoring the hand movement by tracing the hand in motion images. More specifically the image recognition technique assists SPIDAR-Hand as it can not solely give precise hand position and rotation due to the difference in width and length of user驴s hand factors that would be important when designing more comfortable control for handheld devices.
机译:本文提出了一种新方法来测量手持手和其多指位置,当用户正在操纵手持设备的按钮控制时。我们开发了蜘蛛侠(用于人工现实的空间接口装置,用于仿真手持设备可用性),用于跟踪每个指尖位置并通过组合粉红色的手动运动来使每个指尖的力反馈。使用手持设备时,用户通常按下他或她的拇指按下按钮,同时用其他手指抓住设备机身。除了使用四个字符串的长度和四个字符串的拇指来计算每个指尖的3D位置,以便提高精度。我们通过在运动图像中追踪手来引入用于监控手动运动的AR技术。更具体地说,图像识别技术有助于蜘蛛侠,因为由于用户驴的宽度和长度的差异,因此在为手持设备设计更加舒适的控制时,它不能仅提供精确的手位置和旋转。

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