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Image Measurement of Hand Dimensions and Model-Based Human Hand. Posture Estimation

机译:手工尺寸和基于模型的人手的图像测量。姿势估计

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We have a lot of products designed for use by hand, like a mobile phone, mouse, and camera, etc. These products can be used by many kinds of people whose hands come in various sizes. Designing a handheld product, therefore, it is required to consider the individual difference of user's hands. So there are the high expectations for simulating the interaction between user's hands in various sizes and the product in order to evaluate the product design without prototyping. To achieve it, the technology that generates various Digital Hands automatically from data of hand measurements and finds how a user grasps the product is needed. In this paper, we propose the method that measures 23 lengths and 9 widths included in all fingers automatically from a single image which is got by scanning palm side of a hand using any paper scanner. And we use these resultant measurements for estimating 9 thicknesses and 5 boundary lengths included in fingers or a palm that are perpendicular to the scanned surface. Finally, we try to deform the resultant Digital Hand model into a grasping posture.
机译:我们有很多设计用于手动使用的产品,如手机,鼠标和相机等。这些产品可以由各种尺寸的双手提供的多种人使用。因此,设计手持产品,需要考虑用户手的个人差异。因此,在各种尺寸和产品中模拟用户手与产品之间的相互作用存在高的期望,以便在没有原型设计的情况下评估产品设计。为实现它,从手动测量数据自动生成各种数字手的技术,并找到用户需要如何掌握产品。在本文中,我们提出了通过使用任何纸张扫描仪扫描手掌的棕榈侧来衡量23长度和9宽的方法,这些方法从所有手指中自动扫描手掌。我们使用这些所产生的测量来估计包括在手指或垂直于扫描表面的手指中的9厚度和5个边界长度。最后,我们尝试将所产生的数字手模型变形为抓握姿势。

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