AIMC Topic: Psychomotor Performance
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Imitation of complex whole-body sequence in profoundly hearing-impaired adolescents.
Human movement science
May 31, 2025
Many studies have identified specific visual advantages in deaf individuals. However, few studies have linked these advantages to motor learning. This study aimed to compare the differences in movement and learning processes between profoundly hearin...
Understanding whole-body inter-personal dynamics between two players using neural granger causality as the explainable artificial intelligence.
Human movement science
May 30, 2025
Understanding the dynamics of complex, whole-body interpersonal coordination behavior in humans is an important subject in behavioral science. However, due to the challenges of analyzing complex causal relationships among multiple body components wit...
Effective Autism Classification Through Grasping Kinematics.
Autism research : official journal of the International Society for Autism Research
May 5, 2025
Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These motor symptoms often manifest in early childhood, making them critical targets for early diagnosis ...
Visuomotor Navigation for Embodied Robots With Spatial Memory and Semantic Reasoning Cognition.
IEEE transactions on neural networks and learning systems
May 2, 2025
The fundamental prerequisite for embodied agents to make intelligent decisions lies in autonomous cognition. Typically, agents optimize decision-making by leveraging extensive spatiotemporal information from episodic memory. Concurrently, they utiliz...
Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 29, 2025
Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation and rehabilitation, while the development of brain computer interface (BCI) technology has provided the possibility for direct control of SRF. However, ...
Can humanoid robots be used as a cognitive offloading tool?
Cognitive research: principles and implications
Apr 17, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-...
A muscle synergy-based method to improve robot-assisted movements.
Scientific reports
Apr 4, 2025
There is increasing interest in using assistive robotic devices to support motor re-learning and recovery in individuals with neurological impairments. These robots aim to enhance overall motor control by providing adaptive assistance. However, using...
Teleoperator Coupling Dynamics Impact Human Motor Control Across Pursuit Tracking Speeds.
IEEE transactions on haptics
Mar 21, 2025
Robotic teleoperators introduce novel electromechanical dynamics between the user and the environment. While considerable effort has focused on minimizing these dynamics, we lack a robust understanding of their impact on user task performance across ...
Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation.
Brain connectivity
Feb 20, 2025
Previous studies suggest that the combination of robot-assisted training with other concurrent tasks may promote the functional recovery and improvement better than the single task. It is well-established that robot-assisted rehabilitation training ...
Error fields: personalized robotic movement training that augments one's more likely mistakes.
Scientific reports
Feb 4, 2025
Control of movement is learned and uses error feedback during practice to predict actions for the next movement. We previously showed that augmenting error can enhance learning, but while such findings are encouraging, the methods need to be refined ...
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