We describe a new sand table display that combines physical models with computer-generated projection and painting-style interaction. Designed for military training, our sand table has physical models of buildings, illuminated by multiple projectors adding aerial and synthetic imagery, with additional imagery for location and movement of personnel. Interaction with the tabletop scene is enabled...

Examined are sources of brain activity, contributing to EEG patterns which correspond to motor imagery during training to control brain-computer interface (BCI). To identify individual source contribution into EEG recorded during the training, Independent Component Analysis (ICA) was employed. Those independent components, for which the BCI system classification accuracy was at maximum, were tr...

Motor imagery is the mental simulation of a movement without motor output. In recent years, there has been growing interest towards the application of motor imagery-based training, or "mental practice", in stroke rehabilitation. We have developed a virtual reality prototype (the VR Mirror) to support patients in performing mental practice. The VR Mirror displays a three-dimensional simulation o...

Neurofeedback (NFB) allows subjects to learn self-regulation of neuronal brain activation based on information about the ongoing activation. The implementation of real-time functional magnetic resonance imaging (rt-fMRI) for NFB training now facilitates the investigation into underlying processes. Our study involved 16 control and 16 training right-handed subjects, the latter performing an exte...

In this paper, we address the shape-from-shading problem by training deep networks with synthetic images. Unlike conventional approaches that combine deep learning and synthetic imagery, we propose an approach that does not need any external shape dataset to render synthetic images. Our approach consists of two synergistic processes: the evolution of complex shapes from simple primitives, and t...

This study investigates the cortical training effects using a 2-class motor imagery (MI) based BCI. Twelve subjects were trained to use right hand or feet MI to control a cursor on a screen. The feedback was calculated by using features based on the EEG. To assess which areas are involved in the training, and how activity in these areas changes over time, three fNIRS measurements were applied b...

PURPOSE Despite the acknowledged impact of imagery on performance, ecologically sound studies investigating imagery and its effects on performance subcomponents in real games are surprisingly limited. The aim of this study was to investigate the effects of imagery training on passing improvement in elite soccer players. METHODS Sixty nine soccer players taking part in the national championshi...

Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emerging and has shown potential as a supplement or replacement for electroencephalography. However, studies often use only two or three motor-imagery ta...

This study aimed to test Lang's bioinformational theory by comparing the effects of layered stimulus and response training (LSRT) with imagery practice on improvements in imagery ability and performance of a motor skill (golf putting) in 24 novices (age, M = 20.13 years; SD = 1.65; 12 female) low in imagery ability. Participants were randomly assigned to a LSRT (introducing stimulus and respons...

Within rehabilitation settings, mental imagery helps to promote long-term recovery and facilitates compliance to rehabilitation exercises. Individuals who are able to effectively engage in imagery practice are likely to gain the most benefit from imagery training. Thus, a suitable imagery ability measurement tool for individuals with movement limitations is needed. The purpose of the present st...