May 11, 2015 · In this paper, our research on the performance of grasping posture classification using sEMG for naturally reaching for and grasping an object ...
Experimental results demonstrate that when the sEMG amplitude peaks in hand pre-shaping, it is useful in classifying the grasping posture, and the research ...
In this paper, our research on the performance of grasping posture classification using sEMG for naturally reaching for and grasping an object is presented.
The EMG prosthetic hand is a robotic hand that is controlled by surface electromyogram (sEMG), a technique in which electrodes are placed on top of the skin.
14. Grasping-posture classification using myoelectric signal on hand pre-shaping for natural control of myoelectric hand release_45radnbpurea3hphyxv2rn26ry.
14. Grasping-posture classification using myoelectric signal on hand pre-shaping for natural control of myoelectric hand. D. Suzuki, Y. Yamanoi, H. Yamada ...
Bibliographic details on 14. Grasping-posture classification using myoelectric signal on hand pre-shaping for natural control of myoelectric hand.
Jan 21, 2022 · In most of the published papers, scientists use myoelectric signals recorded during firmly grasped periods for grasp classification, which ...
Missing: posture | Show results with:posture
With myoelectric control, it is possible to initiate palmar fingertip grasp by contracting residual forearm flexors and to initiate release by contracting ...
Improving Robotic Hand Prosthesis Control With Eye Tracking and ...
www.ncbi.nlm.nih.gov › PMC8822121
Jan 25, 2022 · In this paper, we investigate a multimodal approach that exploits the use of eye-hand coordination to improve the control of myoelectric hand prostheses.
Missing: posture | Show results with:posture