AIMC Topic: Fingers

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Deep Learning Method for Grasping Novel Objects Using Dexterous Hands.

IEEE transactions on cybernetics May 19, 2022
Robotic grasping ability lags far behind human skills and poses a significant challenge in the robotics research area. According to the grasping part of an object, humans can select the appropriate grasping postures of their fingers. When humans gras...
Humans Robotics Hand Fingers Deep Learning Hand Strength
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Teleoperation of High-Speed Robot Hand with High-Speed Finger Position Recognition and High-Accuracy Grasp Type Estimation.

Sensors (Basel, Switzerland) May 16, 2022
This paper focuses on the teleoperation of a robot hand on the basis of finger position recognition and grasp type estimation. For the finger position recognition, we propose a new method that fuses machine learning and high-speed image-processing te...
Motion Fingers Robotics Hand Humans Hand Strength
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Machine Learning for Touch Localization on an Ultrasonic Lamb Wave Touchscreen.

Sensors (Basel, Switzerland) Apr 21, 2022
Classification and regression employing a simple Deep Neural Network (DNN) are investigated to perform touch localization on a tactile surface using ultrasonic guided waves. A robotic finger first simulates the touch action and captures the data to t...
Ultrasonics Neural Networks, Computer Fingers Touch Perception Machine Learning Humans
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Decoding finger movement patterns from microscopic neural drive information based on deep learning.

Medical engineering & physics Apr 9, 2022
Recent development of surface electromyogram (sEMG) decomposition technique provides a good basis of decoding movements from individual motor unit (MU) activities that directly representing microscopic neural drives. How to interpret the function and...
Deep Learning Electromyography Fingers Humans Algorithms Movement
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A 3D Printed Soft Robotic Hand With Embedded Soft Sensors for Direct Transition Between Hand Gestures and Improved Grasping Quality and Diversity.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 14, 2022
In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intended for prosthetic applications is designed and developed to efficiently operate with new-generation myoelectric control systems, e.g., pattern recogni...
Robotics Hand Strength Fingers Artificial Limbs Hand Printing, Three-Dimensional Humans Gestures
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A generic neural network model to estimate populational neural activity for robust neural decoding.

Computers in biology and medicine Mar 1, 2022
BACKGROUND: Robust and continuous neural decoding is crucial for reliable and intuitive neural-machine interactions. This study developed a novel generic neural network model that can continuously predict finger forces based on decoded populational m...
Electromyography Fingers Motor Neurons Neural Networks, Computer Muscle, Skeletal Humans
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Designing a Contact Fingertip Sensor Made Using a Soft 3D Printing Technique.

Soft robotics Feb 28, 2022
The development of highly compliant materials and actuators has enabled the design of soft robots that can be applied in rescue operations, in secure human-robot interactions, to manipulate fragile devices or objects, and for robot locomotion within ...
Locomotion Robotics Fingers Humans Printing, Three-Dimensional
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Stiffness-Tunable Soft Gripper with Soft-Rigid Hybrid Actuation for Versatile Manipulations.

Soft robotics Feb 16, 2022
Highly flexible and environmentally adaptive soft robots have received considerable attention. There remains a demand for soft robots to realize the stiffness modulation and variable workspace for robust and versatile manipulations. This article pres...
Robotics Equipment Design Mechanical Phenomena Fingers Hand Strength
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Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Computer Interface. The usual focus of it is upon performance evaluation involving the accuracy and robustness of hand gesture recognition. However, add...
Humans Electromyography Reproducibility of Results Fingers Gestures Neural Networks, Computer Movement Hand Algorithms
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Functional cortical localization of tongue movements using corticokinematic coherence with a deep learning-assisted motion capture system.

Scientific reports Jan 10, 2022
Corticokinematic coherence (CKC) between magnetoencephalographic and movement signals using an accelerometer is useful for the functional localization of the primary sensorimotor cortex (SM1). However, it is difficult to determine the tongue CKC beca...
Adult Biomechanical Phenomena Male Female Actigraphy Young Adult Humans Movement Sensorimotor Cortex Image Processing, Computer-Assisted Video Recording Magnetoencephalography Predictive Value of Tests Magnetic Resonance Imaging Fingers Deep Learning Tongue Brain Mapping Time Factors
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