AIMC Topic: Hand Strength

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Three-Fingered Soft Pneumatic Gripper Integrating Joint-Tuning Capability.

Soft robotics
Compared with traditional rigid grippers, soft grippers are made of lightweight and soft materials and have the characteristics of flexible contact and strong adaptability, which are widely utilized to grasp fragile objects with complex contours and ...

Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper.

Science robotics
Soft grippers that incorporate functional materials are important in the development of mechanically compliant and multifunctional interfaces for both sensing and stimulating soft objects and organisms. In particular, the capability for firm and deli...

Cardiorespiratory and metabolic demand of the 6-minute pegboard and ring test in healthy young adults.

Journal of bodywork and movement therapies
OBJECTIVE: To determine the cardiorespiratory and metabolic demand of the Six-Minute Pegboard and Ring Test (6PBRT) in healthy young adults and its association with maximal arm cycle ergometer test (arm CET).

Multidimensional Tactile Sensor with a Thin Compound Eye-Inspired Imaging System.

Soft robotics
Artificial tactile sensing for robots is a counterpart to the human sense of touch, serving as a feedback interface for sensing and interacting with the environment. A vision-based tactile sensor has emerged as a novel and advantageous branch of arti...

A Tenodesis-Induced-Grip exoskeleton robot (TIGER) for assisting upper extremity functions in stroke patients: a randomized control study.

Disability and rehabilitation
PURPOSE: This study was aimed toward developing a lightweight assisting tenodesis-induced-grip exoskeleton robot (TIGER) and to examine the performance of the TIGER in stroke patients with hemiplegia.

The relevance of signal timing in human-robot collaborative manipulation.

Science robotics
To achieve a seamless human-robot collaboration, it is crucial that robots express their intentions without perturbating or interrupting the task that a human partner is performing at that moment. Although it has not received much attention so far, t...

Classifying muscle parameters with artificial neural networks and simulated lateral pinch data.

PloS one
OBJECTIVE: Hill-type muscle models are widely employed in simulations of human movement. Yet, the parameters underlying these models are difficult or impossible to measure in vivo. Prior studies demonstrate that Hill-type muscle parameters are encode...

Deep learning multimodal fNIRS and EEG signals for bimanual grip force decoding.

Journal of neural engineering
Non-invasive brain-machine interfaces (BMIs) offer an alternative, safe and accessible way to interact with the environment. To enable meaningful and stable physical interactions, BMIs need to decode forces. Although previously addressed in the unima...

Development and comprehensive evaluation of a new spring-steel-driven glove for grasping assistance during activities of daily living.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Millions of people suffer from a decline in grip strength and hand function due to conditions such as chronic disease, injuries, and aging. Hand function decline results in difficulties with performing activities of daily living, where grasping, lift...

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...