AIMC Topic: Motor Skills

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A Method for Using Player Tracking Data in Basketball to Learn Player Skills and Predict Team Performance.

PloS one
Player tracking data represents a revolutionary new data source for basketball analysis, in which essentially every aspect of a player's performance is tracked and can be analyzed numerically. We suggest a way by which this data set, when coupled wit...

Clinical usefulness and validity of robotic measures of reaching movement in hemiparetic stroke patients.

Journal of neuroengineering and rehabilitation
BACKGROUND: Various robotic technologies have been developed recently for objective and quantitative assessment of movement. Among them, robotic measures derived from a reaching task in the KINARM Exoskeleton device are characterized by their potenti...

Robotic therapy for chronic stroke: general recovery of impairment or improved task-specific skill?

Journal of neurophysiology
There is a great need to develop new approaches for rehabilitation of the upper limb after stroke. Robotic therapy is a promising form of neurorehabilitation that can be delivered in higher doses than conventional therapy. Here we sought to determine...

High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Myoelectric control offers a direct interface between human intent and various robotic applications through recorded muscle activity. Traditional control schemes realize this interface through direct mapping or pattern recognition techniques. The for...

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Journal of neurophysiology
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of p...

Evaluation of HEXORR Tone Assistance Mode Against Spring Assistance.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Robots are a promising tool for rehabilitation, and research suggests combining assistance with subject participation to maintain motivation and engagement. In this study, we compare two different types of robotic assistance for hand rehabilitation: ...

Sub-processes of motor learning revealed by a robotic manipulandum for rodents.

Behavioural brain research
Rodent models are widely used to investigate neural changes in response to motor learning. Usually, the behavioral readout of motor learning tasks used for this purpose is restricted to a binary measure of performance (i.e. "successful" movement vs. ...

Effects of robotic therapy on upper-extremity function in children with cerebral palsy: A systematic review.

Developmental neurorehabilitation
OBJECTIVE: To systematically examine the effects of robotic therapy on upper extremity (UE) function in children with cerebral palsy (CP).

Artificial intelligence-supported occupational therapy program on handwriting skills in children at risk for developmental coordination disorder: Randomized controlled trial.

Research in developmental disabilities
AIM: This study investigates the impact of an AI-supported occupational therapy program, developed using the Model of Human Occupation (MOHO), on handwriting skills in children at risk for Developmental Coordination Disorder (DCD).

Embodied manipulation with past and future morphologies through an open parametric hand design.

Science robotics
A human-shaped robotic hand offers unparalleled versatility and fine motor skills, enabling it to perform a broad spectrum of tasks with precision, power, and robustness. Across the paleontological record and animal kingdom, we see a wide range of al...