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

机译:利用混合现实技术进行多指跟踪的新方法,用于手持设备控制

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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:本文提出了一种新的方法来测量用户在操纵手持设备的按钮控件时的手及其多指位置。我们开发了SPIDAR-Hand(用于模拟仿真手持设备可用性的人工现实空间接口设备),用于跟踪每个指尖的位置,并结合AR技术使手部动作变粉红色,从而向每个指尖提供力反馈。当使用手持设备时,用户通常用他或她的拇指按下按钮,同时用其他手指抓住设备主体。 SPIDAR-Hand使用三个字符串的长度和四个字符串的拇指来计算除拇指以外的每个指尖的3D位置,以提高准确性。我们介绍了一种通过跟踪运动图像中的手来监视手运动的AR技术。更具体地说,图像识别技术可帮助SPIDAR-Hand,因为它不能完全给出精确的手的位置和旋转,这是由于用户驴手的宽度和长度的差异所致,这对于为手持设备设计更舒适的控制非常重要。

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