dc.description.abstract | Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental
disorder that usually occurs in childhood. The main symptoms of ADHD
are inattention, hyperactivity, impulsivity, and even destructive behaviors.
ADHD is usually diagnosed before school age. If it is not treated
effectively and timely, the problems will continue into adolescence and
even into adulthood. Therefore, it is very important to screen people with
ADHD through efficient, effective and low-cost cognitive assessment. In
many times, the assessment of ADHD completely relies on doctors and
parents who use BRS for patient behavior observation and rating, so these
assessment methods prone to have a strong subjectivity. Due to the above
shortcomings, we prefer to use Virtual Reality (VR) technology. VR can
provide an immersive and interactive virtual environment with a variety
of sensors so that we can better obtain user information. In this research,
we designed a virtual classroom game. The content of the game is based
on audio test, CPT and Stroop test with some interference events we
designed in the game, so that we can try our best to get the physiological
information of the user we need. The physiological information mainly
includes the task performance in the game, brain waves, eye movement
trajectory, and head rotation amplitude, which are respectively converted
into a multi-dimensional dataset. Then determine whether the features of
these datasets are significantly different among different types of users
through statistical analysis. In addition, with the rapid development of
machine learning and deep learning, we have also used the above
technologies to help us build a classification model that can distinguish
between normal people and ADHD patients. Since we have diverse
datasets, we can use each dataset to build a model and evaluate the
effectiveness of the model. It is even possible to combine all the datasets
to build a fusion model. The final results show that our experiment has
great potential for development. | en_US |