Design and control of intelligent bionic artificial hand based on image recognition
- 6 January 2023
- journal article
- research article
- Published by IOS Press in Technology and Health Care
- Vol. 31 (1), 21-35
- https://doi.org/10.3233/thc-213320
Abstract
BACKGROUND: At present, the popular control method for intelligent bionic prosthetic hands is EMG control. However, the control accuracy of this method is low. It is a trend to integrate computer vision into the prosthetic hand. OBJECTIVE: The purposKeywords
This publication has 28 references indexed in Scilit:
- Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic HandsFrontiers in Neurorobotics, 2016
- Deep Residual Learning for Image RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Design and Implementation of an Anthropomorphic Hand for Replicating Human Grasping FunctionsIEEE Transactions on Robotics, 2016
- Convolutional neural networks at constrained time costPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Going deeper with convolutionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- A single-actuator prosthetic hand using a continuum differential mechanismPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Design of Artificial Hands: A ReviewPublished by Springer Science and Business Media LLC ,2014
- Endometrioid Cystadenofibroma of the Ovary with Pelvic Lymph Node InvolvementInternational Journal of Gynecological Pathology, 2006
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998
- Kinematic Analysis of Coupled Arm ProsthesesJournal of Biomechanical Engineering, 1977