AIMC Topic: Hand
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Anthropomorphic Tendon-Based Hands Controlled by Agonist-Antagonist Corticospinal Neural Network.
Sensors (Basel, Switzerland)
May 3, 2024
This article presents a study on the neurobiological control of voluntary movements for anthropomorphic robotic systems. A corticospinal neural network model has been developed to control joint trajectories in multi-fingered robotic hands. The propos...
E-BabyNet: Enhanced Action Recognition of Infant Reaching in Unconstrained Environments.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 26, 2024
Machine vision and artificial intelligence hold promise across healthcare applications. In this paper, we focus on the emerging research direction of infant action recognition, and we specifically consider the task of reaching which is an important d...
End-to-End Ultrasonic Hand Gesture Recognition.
Sensors (Basel, Switzerland)
Apr 25, 2024
As the number of electronic gadgets in our daily lives is increasing and most of them require some kind of human interaction, this demands innovative, convenient input methods. There are limitations to state-of-the-art (SotA) ultrasound-based hand ge...
Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.
Sensors (Basel, Switzerland)
Apr 24, 2024
Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory...
Grasping objects with the aid of haptics.
Science robotics
Apr 24, 2024
A smart suction cup uses haptics to supplement vision for exploration of objects in a grasping task.
Can Patients Rely on ChatGPT to Answer Hand Pathology-Related Medical Questions?
Hand (New York, N.Y.)
Apr 23, 2024
BACKGROUND: In recent years, ChatGPT has become a popular source of information online. Physicians need to be aware of the resources their patients are using to self-inform of their conditions. This study investigates physician-graded accuracy and co...
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation.
IEEE transactions on bio-medical engineering
Apr 22, 2024
OBJECTIVE: The purpose of this study was to develop and evaluate the performance of RPC-Net (Recursive Prosthetic Control Network), a novel method using simple neural network architectures to translate electromyographic activity into hand position wi...
Can artificial intelligence make elective hand clinic letters easier for patients to understand?
The Journal of hand surgery, European volume
Apr 20, 2024
We investigated whether ChatGPT was able to increase the Flesch reading ease and the Flesch-Kincaid reading level of elective clinic letters written by hand surgeons. ChatGPT could not reliably simplify the hand clinic letters any further.
Development of a Two-Finger Haptic Robotic Hand with Novel Stiffness Detection and Impedance Control.
Sensors (Basel, Switzerland)
Apr 18, 2024
Haptic hands and grippers, designed to enable skillful object manipulation, are pivotal for high-precision interaction with environments. These technologies are particularly vital in fields such as minimally invasive surgery, where they enhance surgi...
Towards humanlike grasp in robotic hands: mechanical implementation of force synergies.
Bioinspiration & biomimetics
Apr 16, 2024
In the field of robotic hands, finger force coordination is usually achieved by complex mechanical structures and control systems. This study presents the design of a novel transmission system inspired from the physiological concept of force synergie...
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