AIMC Topic: Young Adult

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Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body movements and performing activities of daily living. However, this capability might be affected afte...

Investigation of Fatigue Using Different EMG Features.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive training. Our study investigates the usefulness of Electroencephalogram and Electromyogram (EMG) signals fo...

Perceptual dissociations among views of objects, scenes, and reachable spaces.

Journal of experimental psychology. Human perception and performance
In everyday experience, we interact with objects and we navigate through space. Extensive research has revealed that these visual behaviors are mediated by separable object-based and scene-based processing mechanisms in the mind and brain. However, w...

Connectome-based individualized prediction of loneliness.

Social cognitive and affective neuroscience
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness a...

Robot-assisted locomotor training did not improve walking function in patients with chronic incomplete spinal cord injury: A randomized clinical trial.

Journal of rehabilitation medicine
OBJECTIVE: To assess the effects of robot-assisted locomotor training in patients with chronic incomplete spinal cord injury.

Semi-supervised learning of a nonnative phonetic contrast: How much feedback is enough?

Attention, perception & psychophysics
Semi-supervised learning refers to learning that occurs when feedback about performance is provided on only a subset of training trials. Algorithms for semi-supervised learning are popular in machine learning because of their minimal reliance on labe...

Using Machine Learning to Predict Lower-Extremity Injury in US Special Forces.

Medicine and science in sports and exercise
INTRODUCTION: Musculoskeletal injury rates in military personnel remain unacceptably high. Application of machine learning algorithms could be useful in multivariate models to predict injury in this population. The purpose of this study was to invest...

A Machine Learning-Based Predictive Model of Return to Work After Sick Leave.

Journal of occupational and environmental medicine
OBJECTIVE: This study aims to build a predictive model for "return to work" (RTW) after sick leave by using a machine-learning algorithm.

Imagine how to behave: the influence of imagined contact on human-robot interaction.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Imagined contact (IC), that is, mentally simulating an interaction with an outgroup member, reduces negative attitudes towards outgroup members, increases contact intentions, and reduces intergroup anxiety in human-human intergroup context. Our exper...

In natural interaction with embodied robots, we prefer it when they follow our gaze: a gaze-contingent mobile eyetracking study.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Initiating joint attention by leading someone's gaze is a rewarding experience which facilitates social interaction. Here, we investigate this experience of leading an agent's gaze while applying a more realistic paradigm than traditional screen-base...