AIMC Topic: Hand

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Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models.

Computational intelligence and neuroscience Feb 7, 2023
The deployment of photovoltaic (PV) cells as a renewable energy resource has been boosted recently, which enhanced the need to develop an automatic and swift fault detection system for PV cells. Prior to isolation for repair or replacement, it is cri...
Time Perception Probability Neural Networks, Computer Deep Learning Hand
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PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation.

Sensors (Basel, Switzerland) Jan 31, 2023
This paper tackles a novel and challenging problem-3D hand pose estimation (HPE) from a single RGB image using partial annotation. Most HPE methods ignore the fact that the keypoints could be partially visible (e.g., under occlusions). In contrast, w...
Neural Networks, Computer Hand Humans
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sEMG-Based Hand Gesture Recognition Using Binarized Neural Network.

Sensors (Basel, Switzerland) Jan 28, 2023
Recently, human-machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and in...
Hand Electromyography Algorithms Gestures Recognition, Psychology Humans Neural Networks, Computer
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Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation.

Medical image analysis Jan 13, 2023
We present our novel deep multi-task learning method for medical image segmentation. Existing multi-task methods demand ground truth annotations for both the primary and auxiliary tasks. Contrary to it, we propose to generate the pseudo-labels of an ...
Deep Learning Image Processing, Computer-Assisted Humans Hand Semantics
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On lightmyography based muscle-machine interfaces for the efficient decoding of human gestures and forces.

Scientific reports Jan 6, 2023
Conventional muscle-machine interfaces like Electromyography (EMG), have significant drawbacks, such as crosstalk, a non-linear relationship between the signal and the corresponding motion, and increased signal processing requirements. In this work, ...
Muscles Electromyography Motion Gestures Humans Neural Networks, Computer Hand Algorithms
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Humanlike spontaneous motion coordination of robotic fingers through spatial multi-input spike signal multiplexing.

Nature communications Jan 3, 2023
With advances in robotic technology, the complexity of control of robot has been increasing owing to fundamental signal bottlenecks and limited expressible logic state of the von Neumann architecture. Here, we demonstrate coordinated movement by a fu...
Robotics Fingers Movement Robotic Surgical Procedures Hand
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Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke.

International journal of environmental research and public health Dec 30, 2022
BACKGROUND: Early identification of hand-prognosis-factors at patient's admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies.
Stroke Upper Extremity Stroke Rehabilitation Prospective Studies Robotics Treatment Outcome Hand Recovery of Function Humans
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Towards Haptic-Based Dual-Arm Manipulation.

Sensors (Basel, Switzerland) Dec 29, 2022
Vision is the main component of current robotics systems that is used for manipulating objects. However, solely relying on vision for hand-object pose tracking faces challenges such as occlusions and objects moving out of view during robotic manipula...
Upper Extremity Robotics Haptic Technology Feedback Hand
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Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.

Computers in biology and medicine Dec 28, 2022
Understanding prognosis and mortality is critical for evaluating the treatment plan of patients. Advances in digital pathology and deep learning techniques have made it practical to perform survival analysis in whole slide images (WSIs). Current meth...
Humans Entropy Neural Networks, Computer Supervised Machine Learning Hand Survival Analysis
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Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

Sensors (Basel, Switzerland) Dec 27, 2022
This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We designed a robot control system using electromyography signals. In each trial, participants were expos...
Electromyography Movement Upper Extremity Electroencephalography Humans Hand Robotics
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