Vision enabled Smart Prosthetic Arm for Amputees

Anitha Subramanian, S. C. Sethuraman, Ritwik Badola, Priyam Sahoo, N. Kumaravelu
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Abstract

The need for automated prosthetic arms for managing upper limbs is growing, however prosthetic arms available in the market perform predefined functions that might seem alien to the user and many smart prosthetic arms require various user inputs to properly perform desired grips and perform functions. This research involves developing a prototype for the same by designing and making it operational using - a smart arm capable of detecting objects and adjusting it’s grip appropriate for the detected object. The device is capable of autonomously identifying an object and it’s position using a camera embedded in the arm. It utilizes the arm including the wrist with a two degree-of-freedom to track and orient itself relative to the object, and then finally apply appropriate grip that are prerecorded using leap-motion sensor.
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为截肢者提供视觉支持的智能假肢
对用于管理上肢的自动化假肢手臂的需求正在增长,然而,市场上可用的假肢手臂执行用户可能陌生的预定义功能,许多智能假肢手臂需要各种用户输入才能正确执行所需的握持和执行功能。这项研究包括通过设计和操作来开发同样的原型——一个能够检测物体并根据检测到的物体调整抓地力的智能手臂。该设备能够通过嵌入手臂的摄像头自动识别物体及其位置。它利用包括手腕在内的两个自由度的手臂来跟踪和定位自己相对于物体,然后最后应用适当的抓地力,这些抓地力是使用跳跃运动传感器预先录制的。
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