AIMC Topic: Psychomotor Performance

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Robotic gaming prototype for upper limb exercise: Effects of age and embodiment on user preferences and movement.

Restorative neurology and neuroscience
BACKGROUND: Effective human-robot interactions in rehabilitation necessitates an understanding of how these should be tailored to the needs of the human. We report on a robotic system developed as a partner on a 3-D everyday task, using a gamified ap...

Smooth leader or sharp follower? Playing the mirror game with a robot.

Restorative neurology and neuroscience
BACKGROUND: The increasing number of opportunities for human-robot interactions in various settings, from industry through home use to rehabilitation, creates a need to understand how to best personalize human-robot interactions to fit both the user ...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not ob...

Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.

Human factors
OBJECTIVE: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.

Evaluation of a mixed controller that amplifies spatial errors while reducing timing errors.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Previous results suggest that haptic guidance enhances learning of the timing components of motor tasks, whereas error amplification is better for learning the spatial components. In this paper we evaluate a novel mixed guidance controller that combi...

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

The Tohoku journal of experimental medicine
Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict the activities of daily living. Recently, robotic devices have been used to enhance the functional upper extremity movement of stroke patients. The pu...

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.

Journal of autism and developmental disorders
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, ...

Do all sub acute stroke patients benefit from robot-assisted therapy? A retrospective study.

Restorative neurology and neuroscience
PURPOSE: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended after stroke. Whether robotic therapy is suitable for subacute patients with severe impairments including cognitive disorders is unknown. This retrosp...