AIMC Topic: Artificial Limbs

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Shared human-machine control of an intelligent bionic hand improves grasping and decreases cognitive burden for transradial amputees.

Nature communications
Bionic hands can replicate many movements of the human hand, but our ability to intuitively control these bionic hands is limited. Humans' manual dexterity is partly due to control loops driven by sensory feedback. Here, we describe the integration o...

The Omnia bionic leg with a semipowered knee and ankle wins the Cybathlon 2024 leg prosthesis race.

Science robotics
Rehab Tech's Omnia prosthesis excelled at Cybathlon, showcasing advanced lower-limb prostheses and user-centered innovation.

The socio-economic impact of robotic prosthetics: the Hannes hand case study.

Scientific reports
Social impact assessment has gained increasing attention in recent years, emphasizing the added value and social changes brought by project activities alongside the sustainability of social actions. This study evaluates the economic and social impact...

Arm prosthesis with dexterous control and sensory feedback delivers winning performance at Cybathlon.

Science robotics
Innovations in sensing and control technology helped an arm prosthesis novice win a global assistive robotics competition.

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 ...

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 ...

Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for external devices, have applications in active prosthesis control. However, the statistical characteristics of EMG signals change over time (e.g., beca...

A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system.

Journal of neural engineering
Key challenges in upper limb prosthetics include a lack of effective control systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive costs. As a result, disuse rates remain high despite potential for increased qua...

Shared Control of Supernumerary Robotic Limbs Using Mixed Realityand Mouth-and-Tongue Interfaces.

Biosensors
Supernumerary Robotic Limbs (SRLs) are designed to collaborate with the wearer, enhancing operational capabilities. When human limbs are occupied with primary tasks, controlling SRLs flexibly and naturally becomes a challenge. Existing methods such a...

Merging motoneuron and postural synergies in prosthetic hand design for natural bionic interfacing.

Science robotics
Despite the advances in bionic reconstruction of missing limbs, the control of robotic limbs is still limited and, in most cases, not felt to be as natural by users. In this study, we introduce a control approach that combines robotic design based on...