AIMC Topic: Hand

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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.

Scientific reports
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...

Enhancing surface electromyographic signal recognition accuracy for trans-radial amputees using broad learning systems.

Biomedical physics & engineering express
Gesture recognition based on surface electromyography (sEMG) plays a crucial role in human-computer interaction. By analyzing sEMG signals generated from residual forearm muscle activity in trans-radial amputees, it is possible to predict their hand ...

Neuroimaging and biological markers of different paretic hand outcomes after stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Hand dysfunction significantly affects independence after stroke, with outcomes varying across individuals. Exploring biomarkers associated with the paretic hand can improve the prognosis and guide personalized rehabilitation. However, wh...

Multimodal information structuring with single-layer soft skins and high-density electrical impedance tomography.

Science robotics
The human skin can reliably capture a wide range of multimodal data over a large surface while providing a soft interface. Artificial technologies using microelectromechanical systems (MEMS) can emulate these biological functions but present numerous...

Hand and Elbow Nerve Entrapments: MR Imaging Evaluation.

Magnetic resonance imaging clinics of North America
Entrapment neuropathies are the result of compression, displacement, traction, or irritation of peripheral nerves due to anatomic and/or dynamic factors at specific anatomic sites. This article reviews the current magnetic resonance neurography techn...

Modification of the toronto rehabilitation institute-hand function test for integration into robot-assisted therapy: technical validation and usability.

Biomedical engineering online
BACKGROUND: Effective rehabilitation of the upper extremity function is vital for individuals recovering from stroke or cervical spinal cord injury, as it can enable them to regain independence in daily tasks. While robotic therapy provides precise a...

Advancing Prosthetic Hand Capabilities Through Biomimicry and Neural Interfaces.

Neurorehabilitation and neural repair
Background and ObjectivesProsthetic hand development is undergoing a transformative phase, blending biomimicry and neural interface technologies to redefine functionality and sensory feedback. This article explores the symbiotic relationship between ...

Biomimetic rigid-soft finger design for highly dexterous and adaptive robotic hands.

Science advances
In dexterous robotic hand design, achieving high mobility and adaptability comparable to human hands remains an ongoing challenge. Biomimetic designs mimicking the musculoskeletal structure have shown promise yet face difficulties in preserving key k...

Fabric integrated wearable glove with a twisted string actuator for manual handling tasks.

Scientific reports
Wearable robotic gloves with grip-assistive functionality offer a promising solution for high-intensity manual tasks. However, achieving a balance among lightweight design, adequate force generation, and dexterous hand movement in wearable robotic gl...

YOLOv8-G2F: A portable gesture recognition optimization algorithm.

Neural networks : the official journal of the International Neural Network Society
Hand gesture recognition (HGR) is a significant research area with applications in human-computer interaction, artificial intelligence, and more. In the early stage of development of HGR, there are high hardware costs and large usage requirements. To...