In this paper, we discuss a variety of ways in which practising motor actions by means of
motor imagery (MI) can be enhanced via synchronous action observation (AO), that is, by …

Objective Gait impairment in persons with Parkinson disease is common and debilitating.
Compensation strategies (eg, external cues) are an essential part of rehabilitation, but their …

The past decade has witnessed tremendous growth in analyzing the cortical representation
of human locomotion and balance using Electroencephalography (EEG). With the advanced …

Physical activity in the presence of nature can lead to additional, more distinct mental health
benefits such as lower stress and anxiety levels and an overall better psychological state …

Objective. Motor imagery (MI) classification is an important task in the brain–computer
interface (BCI) field. MI data exhibit highly dynamic characteristics and are difficult to obtain …

Actions can be physically executed, observed, imagined, or simply thought about. Unifying
mental processes, such as simulation, emulation, or predictive processing, are thought to …

The action observation network has been proposed to play a key role in predicting the action
intentions (or goals) of others, thereby facilitating social interaction. Key information when …

Virtual reality (VR) technology provides highly immersive depth perception experiences;
nevertheless, stereoscopic visual fatigue (SVF) has become an important factor currently …

Action observation (AO) and motor imagery (MI) are used for the rehabilitation of patients
who face difficulty walking. Rehabilitation involving AO, MI, and AO combined with MI (AO+ …

Objective. Motor imagery (MI)-based brain-computer interfaces (BCIs) provide an additional
control pathway for people by decoding the intention of action imagination. The way people …