AIMC Topic: Fingers

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Explainable Deep Learning Model for EMG-Based Finger Angle Estimation Using Attention.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 15, 2022
Electromyography (EMG) is one of the most common methods to detect muscle activities and intentions. However, it has been difficult to estimate accurate hand motions represented by the finger joint angles using EMG signals. We propose an encoder-deco...
Electromyography Deep Learning Movement Fingers Muscle, Skeletal Humans
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Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots.

Sensors (Basel, Switzerland) Jul 13, 2022
As the end execution tool of agricultural robots, the manipulator directly determines whether the grasping task can be successfully completed. The human hand can adapt to various objects and achieve stable grasping, which is the highest goal for mani...
Fingers Robotic Surgical Procedures Hand Humans Hand Strength Robotics
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Human Pulse Detection by a Soft Tactile Actuator.

Sensors (Basel, Switzerland) Jul 5, 2022
Soft sensing technologies offer promising prospects in the fields of soft robots, wearable devices, and biomedical instruments. However, the structural design, fabrication process, and sensing algorithm design of the soft devices confront great diffi...
Humans Fingers Wearable Electronic Devices Touch Robotics
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Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications.

Sensors (Basel, Switzerland) May 27, 2022
This paper presents a novel design and development of a low-cost and multi-touch sensor based on capacitive variations. This new sensor is very flexible and easy to fabricate, making it an appropriate choice for soft robot applications. Materials (co...
Touch Perception Robotics Fingers Silicones Touch Humans
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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 Fingers Robotics Hand 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...
Hand Strength Robotics Humans Fingers Hand Motion
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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...
Touch Perception Fingers Humans Neural Networks, Computer Machine Learning Ultrasonics
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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...
Humans Algorithms Fingers Movement Deep Learning Electromyography
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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...
Printing, Three-Dimensional Robotics Gestures Hand Strength Fingers Hand Humans Artificial Limbs
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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...
Fingers Motor Neurons Muscle, Skeletal Electromyography Humans Neural Networks, Computer
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