AIMC Topic: Hand
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Are we ready to move beyond the reductionist approach of classical synergy control?: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.
Physics of life reviews
Mar 21, 2016
Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.
Journal of neuroengineering and rehabilitation
Mar 18, 2016
BACKGROUND: Recent studies have shown that brain-machine interfaces (BMIs) offer great potential for restoring upper limb function. However, grasping objects is a complicated task and the signals extracted from the brain may not always be capable of ...
Compensating Hand Function in Chronic Stroke Patients Through the Robotic Sixth Finger.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 12, 2016
A novel solution to compensate hand grasping abilities is proposed for chronic stroke patients. The goal is to provide the patients with a wearable robotic extra-finger that can be worn on the paretic forearm by means of an elastic band. The proposed...
Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.
Sensors (Basel, Switzerland)
Feb 5, 2016
Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural interaction between a human user and a robotic system, without requiring complex calibration procedures. Moreover, VPE interfaces are gaining momentum...
Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.
Physics of life reviews
Feb 3, 2016
The term 'synergy' - from the Greek synergia - means 'working together'. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and...
Design and Evaluation of a Soft and Wearable Robotic Glove for Hand Rehabilitation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 27, 2016
In the modern world, due to an increased aging population, hand disability is becoming increasingly common. The prevalence of conditions such as stroke is placing an ever-growing burden on the limited fiscal resources of health care providers and the...
Single-Grasp Object Classification and Feature Extraction with Simple Robot Hands and Tactile Sensors.
IEEE transactions on haptics
Jan 25, 2016
Classical robotic approaches to tactile object identification often involve rigid mechanical grippers, dense sensor arrays, and exploratory procedures (EPs). Though EPs are a natural method for humans to acquire object information, evidence also exis...
Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video.
IEEE transactions on pattern analysis and machine intelligence
Jan 18, 2016
We present a new gesture recognition method that is based on the conditional random field (CRF) model using multiple feature matching. Our approach solves the labeling problem, determining gesture categories and their temporal ranges at the same time...
Control of a Robotic Hand Using a Tongue Control System-A Prosthesis Application.
IEEE transactions on bio-medical engineering
Jan 13, 2016
OBJECTIVE: The aim of this study was to investigate the feasibility of using an inductive tongue control system (ITCS) for controlling robotic/prosthetic hands and arms.
Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks.
Sensors (Basel, Switzerland)
Jan 4, 2016
In this work, we present a multiclass hand posture classifier useful for human-robot interaction tasks. The proposed system is based exclusively on visual sensors, and it achieves a real-time performance, whilst detecting and recognizing an alphabet ...
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