Publications
2013
Scherer, Reinhold; Moitzi, Gunther; Daly, Ian; Müller-Putz, Gernot
On the use of games for non-invasive EEG-based Functional Brain Mapping Journal Article
In: IEEE Transactions on Computational Intelligence and AI in Games, vol. 5, no. 2, pp. 155-163, 2013.
Abstract | Links | BibTeX | Tags: BCI, ERD, Games, Kinect, Motor imagery
@article{Scherer2013,
title = {On the use of games for non-invasive EEG-based Functional Brain Mapping},
author = {Reinhold Scherer and Gunther Moitzi and Ian Daly and Gernot Müller-Putz},
url = {https://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwivypDisKzKAhWDaxQKHSN7CVgQFgggMAA&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F4804728%2F6527957%2F06472046.pdf%3Farnumber%3D6472046&usg=AFQjCNF1qrlxBoeaT4OaHviOGyqy6IZmNg&sig2=lgQU_N9tXnpU7wRB3M9Efg},
doi = {10.1109/TCIAIG.2013.2250287},
year = {2013},
date = {2013-06-01},
journal = {IEEE Transactions on Computational Intelligence and AI in Games},
volume = {5},
number = {2},
pages = {155-163},
abstract = {The use of statistical models and statistical inference
for characterizing the interplay between brain structures and
human behavior (functional brain mapping) is common in neuroscience.
Statistical methods, however, require the availability of
sufficiently large data sets. As a result, experimental paradigms
used to collect behavioral trials from individuals are data centered
and not user centered. This means that experimental paradigms
are tuned to collect as many trials as possible, are generally rather
demanding, and are not always motivating or engaging for individuals.
Subject cooperation and their compliance with the task may
decrease over time. Whenever possible, paradigms are designed
to control for factors such as fatigue, attention, and motivation.
In this paper, we propose the use of the Kinect motion tracking
sensor (Microsoft, Inc., Redmond, WA, USA) in a game-based
paradigm for noninvasive electroencephalogram (EEG)-based
functional motor mapping. Results from an experimental study
with able-bodied subjects playing a virtual ball game suggest
that the Kinect sensor is useful for isolating specific movements
during the interaction with the game, and that the computed EEG
patterns for hand and feet movements are in agreement with
results described in the literature},
keywords = {BCI, ERD, Games, Kinect, Motor imagery},
pubstate = {published},
tppubtype = {article}
}
The use of statistical models and statistical inference
for characterizing the interplay between brain structures and
human behavior (functional brain mapping) is common in neuroscience.
Statistical methods, however, require the availability of
sufficiently large data sets. As a result, experimental paradigms
used to collect behavioral trials from individuals are data centered
and not user centered. This means that experimental paradigms
are tuned to collect as many trials as possible, are generally rather
demanding, and are not always motivating or engaging for individuals.
Subject cooperation and their compliance with the task may
decrease over time. Whenever possible, paradigms are designed
to control for factors such as fatigue, attention, and motivation.
In this paper, we propose the use of the Kinect motion tracking
sensor (Microsoft, Inc., Redmond, WA, USA) in a game-based
paradigm for noninvasive electroencephalogram (EEG)-based
functional motor mapping. Results from an experimental study
with able-bodied subjects playing a virtual ball game suggest
that the Kinect sensor is useful for isolating specific movements
during the interaction with the game, and that the computed EEG
patterns for hand and feet movements are in agreement with
results described in the literature
for characterizing the interplay between brain structures and
human behavior (functional brain mapping) is common in neuroscience.
Statistical methods, however, require the availability of
sufficiently large data sets. As a result, experimental paradigms
used to collect behavioral trials from individuals are data centered
and not user centered. This means that experimental paradigms
are tuned to collect as many trials as possible, are generally rather
demanding, and are not always motivating or engaging for individuals.
Subject cooperation and their compliance with the task may
decrease over time. Whenever possible, paradigms are designed
to control for factors such as fatigue, attention, and motivation.
In this paper, we propose the use of the Kinect motion tracking
sensor (Microsoft, Inc., Redmond, WA, USA) in a game-based
paradigm for noninvasive electroencephalogram (EEG)-based
functional motor mapping. Results from an experimental study
with able-bodied subjects playing a virtual ball game suggest
that the Kinect sensor is useful for isolating specific movements
during the interaction with the game, and that the computed EEG
patterns for hand and feet movements are in agreement with
results described in the literature