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Upper Extremity

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Improved Drill State Recognition during Milling Process Using Artificial Intelligence.

Sensors (Basel, Switzerland)
In this article, an automated method for tool condition monitoring is presented. When producing items in large quantities, pointing out the exact time when the element needs to be exchanged is crucial. If performed too early, the operator gets rid of...

Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke.

International journal of environmental research and public health
BACKGROUND: Early identification of hand-prognosis-factors at patient's admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies.

Towards Haptic-Based Dual-Arm Manipulation.

Sensors (Basel, Switzerland)
Vision is the main component of current robotics systems that is used for manipulating objects. However, solely relying on vision for hand-object pose tracking faces challenges such as occlusions and objects moving out of view during robotic manipula...

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

Sensors (Basel, Switzerland)
This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We designed a robot control system using electromyography signals. In each trial, participants were expos...

Hybrid Target Selections by "Hand Gestures + Facial Expression" for a Rehabilitation Robot.

Sensors (Basel, Switzerland)
In this study we propose a "hand gesture + face expression" human machine interaction technique, and apply this technique to bedridden rehabilitation robot. "Hand gesture + Facial expression" interactive technology combines the input mode of gesture ...

An Underwater Human-Robot Interaction Using a Visual-Textual Model for Autonomous Underwater Vehicles.

Sensors (Basel, Switzerland)
The marine environment presents a unique set of challenges for human-robot interaction. Communicating with gestures is a common way for interacting between the diver and autonomous underwater vehicles (AUVs). However, underwater gesture recognition i...

Combined robot motor assistance with neural circuit-based virtual reality (NeuCir-VR) lower extremity rehabilitation training in patients after stroke: a study protocol for a single-centre randomised controlled trial.

BMJ open
INTRODUCTION: Improving lower extremity motor function is the focus and difficulty of post-stroke rehabilitation treatment. More recently, robot-assisted and virtual reality (VR) training are commonly used in post-stroke rehabilitation and are consid...

An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living.

Sensors (Basel, Switzerland)
Most of the humanoid social robots currently diffused are designed only for verbal and animated interactions with users, and despite being equipped with two upper arms for interactive animation, they lack object manipulation capabilities. In this pap...

Results of a 2-week novel robotic rehabilitation program in 18 children with prior hemispherectomy.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: Partial preservation of sensory and motor functions in the contralateral extremities after hemispherectomy is likely secondary to cortical reorganization of the remaining hemisphere and can be improved by rehabilitation. This study aims t...

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks.

Sensors (Basel, Switzerland)
Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and inertial measurement unit signals (IMUs) have been studied for different applications in recent years. Most commonly, cutting-edge HGR methods are based on supervised...