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Palm glove: wearable glove based on palm-camera for thumb-to-finger tap recognition

机译:手掌手套:基于手掌相机的可穿戴手套,用于拇指到手指的敲击识别

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In this study, Palm Glove, an interface device positioned on the palm, is developed as a wearable device that can recognize finger motion. An algorithm to recognize thumb-to-finger tap gestures for the device is also proposed. Palm Glove can obtain stable finger images even in case of wrist movement, as the camera in the device is positioned on the palm. The thumb-to-finger tap recognition algorithm uses projected extreme point (TTRPP), which is a robust and light algorithm that detects thumb-to-finger tap gestures by projecting two-dimensional geometric image features of fingers onto one-dimensional points. A database was constructed using the proposed hardware and algorithm and a 99.22% recognition rate was achieved. Furthermore, the proposed hardware was evaluated through usability assessment to be used as a practical real-time interface device.
机译:在这项研究中,Palm Glove(定位在手掌上的接口设备)被开发为可识别手指运动的可穿戴设备。还提出了一种识别设备拇指到手指轻击手势的算法。由于设备中的摄像头位于手掌上,因此即使在手腕移动的情况下,Palm Glove也可以获得稳定的手指图像。拇指到手指的敲击识别算法使用投影极点(TTRPP),这是一种健壮且轻巧的算法,它通过将手指的二维几何图像特征投影到一维点上来检测拇指到手指的敲击手势。使用提出的硬件和算法构建数据库,识别率达到99.22%。此外,通过可用性评估对提出的硬件进行了评估,以用作实际的实时接口设备。

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