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Hand

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Bioinspired High-Degrees of Freedom Soft Robotic Glove for Restoring Versatile and Comfortable Manipulation.

Soft robotics
The human hand is one of the most complex and compact grippers that has arisen as a product of natural genetic engineering; it is highly versatile, as it handles power and precision tasks. Since proper contact points and force directions are required...

Object Manipulation with an Anthropomorphic Robotic Hand via Deep Reinforcement Learning with a Synergy Space of Natural Hand Poses.

Sensors (Basel, Switzerland)
Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand ...

Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron.

Sensors (Basel, Switzerland)
Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle. Due to rapid urbanization, cities are facing...

Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Neurological injuries such as stroke often differentially impair hand motor and somatosensory function, as well as the interplay between the two, which leads to limitations in performing activities of daily living. However, it is challeng...

A pneumatic random-access memory for controlling soft robots.

PloS one
Pneumatically-actuated soft robots have advantages over traditional rigid robots in many applications. In particular, their flexible bodies and gentle air-powered movements make them more suitable for use around humans and other objects that could be...

Fast deep neural correspondence for tracking and identifying neurons in using semi-synthetic training.

eLife
We present an automated method to track and identify neurons in , called 'fast Deep Neural Correspondence' or fDNC, based on the transformer network architecture. The model is trained once on empirically derived semi-synthetic data and then predicts ...

Occupational therapists' evaluation of the perceived usability and utility of wearable soft robotic exoskeleton gloves for hand function rehabilitation following a stroke.

Disability and rehabilitation. Assistive technology
PURPOSE: To evaluate the perceived usability and utility of using a soft robotic glove to rehabilitate hand function following a stroke.

A compact valveless pressure control source for soft rehabilitation glove.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Soft pneumatic robots have shown great promises in hand rehabilitation systems as alternatives to conventional rigid systems. However, their application is limited to clinical rehabilitation programs due to their dependency on large-sized...

An Efficient CNN for Hand X-Ray Classification of Rheumatoid Arthritis.

Journal of healthcare engineering
Hand Radiography (RA) is one of the prime tests for checking the progress of rheumatoid joint inflammation in human bone joints. Recognizing the specific phase of RA is a difficult assignment, as human abilities regularly curb the techniques for it. ...

Identify dominant dimensions of 3D hand shapes using statistical shape model and deep neural network.

Applied ergonomics
Hand anthropometry is one of the fundamentals of ergonomic research and product design. Many studies have been conducted to analyze the hand dimensions among different populations, however, the definitions and the numbers of those dimensions were usu...