AIMC Topic: Cues

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Robot-assisted investigation of sensorimotor control in Parkinson's disease.

Scientific reports
Sensorimotor control (SMC) is a complex function that involves sensory, cognitive, and motor systems working together to plan, update and execute voluntary movements. Any abnormality in these systems could lead to deficits in SMC, which would negativ...

Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.

Nature communications
Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli are found in many animal species across different sensory modalities. By mimicking the multisensory integration of ocular-vestibular cues for enhance...

A Novel Tactile Function Assessment Using a Miniature Tactile Stimulator.

Sensors (Basel, Switzerland)
Several methods for the measurement of tactile acuity have been devised previously, but unexpected nonspatial cues and intensive manual skill requirements compromise measurement accuracy. Therefore, we must urgently develop an automated, accurate, an...

In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness.

Applied ergonomics
Following the evolution of technology and its application in various daily contexts, social robots work as an advanced artificial intelligence (AI) system to interact with humans. However, limited research has been done to discuss the role of emotion...

Distinguishing shadows from surface boundaries using local achromatic cues.

PLoS computational biology
In order to accurately parse the visual scene into distinct surfaces, it is essential to determine whether a local luminance edge is caused by a boundary between two surfaces or a shadow cast across a single surface. Previous studies have demonstrate...

Robot-assisted gait training with auditory and visual cues in Parkinson's disease: A randomized controlled trial.

Annals of physical and rehabilitation medicine
BACKGROUND: Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (PD); however, the evidence to date is inconsistent.

Parallax attention stereo matching network based on the improved group-wise correlation stereo network.

PloS one
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep neural ne...

FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning.

Neural networks : the official journal of the International Neural Network Society
Integrating multi-scale predictions has become a mainstream paradigm in edge detection. However, most existing methods mainly focus on effective feature extraction and multi-scale feature fusion while ignoring the low learning capacity in fine-level ...

The relevance of signal timing in human-robot collaborative manipulation.

Science robotics
To achieve a seamless human-robot collaboration, it is crucial that robots express their intentions without perturbating or interrupting the task that a human partner is performing at that moment. Although it has not received much attention so far, t...

Dual adversarial convolutional networks with multilevel cues for pancreatic segmentation.

Physics in medicine and biology
Accurate organ segmentation is a relatively challenging subject in medical imaging, especially for the pancreas, whose morphological characteristics are subtle but variable. In this paper, a novel dual adversarial convolutional network with multileve...