Researchers at Newcastle University designed a commercial prosthetic hand with a webcam and a Convolutional Neural Network (CNN) to improve the grasping ability of amputees. This artificial network allows the system to accurately assess and pick up an object based on similar objects it has been observed. The inexpensive webcam and data-structure do not require new prosthetics – existing ones can be adapted. According to the researchers, this is the first time that deep-learning-based computer vision systems have been shown to enhance the grip functionality of myoelectric hands.
Bionic Hand Uses Built-in Camera to Hone in on Objects
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