Vision-aided grasp classification: design and evaluation of compact CNN for prosthetic hands
Udit Sharma,
Srikanth Vasamsetti,
Sekar Anup Chander
et al.
Abstract:Powered prosthetic hands capable of executing various grasp patterns are highly sought-after solutions for upper limb amputees. A crucial requirement for such prosthetic hands is the accurate identification of the intended grasp pattern and subsequent activation of the prosthetic digits accordingly. Vision-based grasp classification techniques offer improved coordination between amputees and prosthetic hands without physical contact. Deep learning methods, particularly Convolutional Neural Networks (CNNs), are… Show more
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