Pose estimation has various applications in analyzing human body movement and behavior,
including providing feedback to users about their movements so they can adjust and …

Background. The assessment of motor function is vital in post-stroke rehabilitation protocols,
and it is imperative to obtain an objective and quantitative measurement of motor function …

In this study, machine learning (ML) based methods are used to estimate rotor mechanical
speed of brushless direct current (BLDC) motors. Training performances of approaches such …

Technology-supported movement learning has received increased attention in HCI.
Previous design research has mostly focused on individual experiences, even though the …

Motor skills, especially fine motor skills like handwriting, play an essential role in academic
pursuits and everyday life. Traditional methods to teach these skills, although effective, can …

Humans learn movements naturally, but it takes a lot of time and training to achieve expert
performance in motor skills. In this review, we show how modern technologies can support …

Motor learning is an important property for em-bodied agents and a wide variety of
approaches has been developed for humanoid robots. One strategy is to study the human …

The analysis of human movement provides important insights in several fields, such as
biomechanics, neuroscience, psychology, medicine, and Artificial Intelligence (AI). The …

Learning a sequence of movements is akin to the acquisition of a motor skill. We
investigated event-related potentials (ERPs) changes, particularly the error-related …

Pose estimation has various applications in analyzing human movement and behavior,
including providing feedback to users about their movements so they could adjust and …