Akademik Veri Yönetim Sistemi
8. ULUSLARARASI ANKARA BİLİMSEL ARAŞTIRMALAR KONGRESİ, Ankara, Türkiye, 9 - 11 Haziran 2023, ss.1
Attention function and cognitive activities in children are the
executive systems of the brain that include the processing of information
during childhood. Behavioral treatment programs in psychology that aim to
increase children's cognitive functions in a positive way can have successful
effects on basic school performance. There is a need for new and
technologically oriented approaches to increase attention in children with
attention deficit hyperactivity disorder, especially in children with
focus-related lack of focus, which has an important role in cognitive
functions. Concentration problems, tension and restlessness may occur in
children with attention deficit and hyperactivity disorder and in children with
cognitive problems. Children or adolescents with attention deficit and
hyperactivity problems may develop conduct disorder, anxiety, depression and
certain learning difficulties. Play therapy, which is based on
protective-preventive approaches in order to prevent the occurrence of these
complications, supports all areas of mental, physical, cognitive, linguistic,
emotional, psycho-motor and social development. In this context, contribution
should be made to increase the focus in childhood to prevent the occurrence of
the disease, which is the best treatment method.
In the study, TGAM EEG sensor was used to detect focusing activities.
This sensor allows to record the waves in the brain instantly. The data from
the EEG sensor was transferred to the computer environment via the brain
computer interface (BBA). BBA users are applications that provide communication
and control of external devices by directly analyzing changes in brain activity
without using muscle and nerve cells, which are the normal output routes of the
brain. BBAs consist of data detection, feature extraction, feature
transformation and output devices, and a protocol that is responsible for the
management of these four components and determines the start, end and run
timing of the system. In the study, relevant neuronal signals were filtered
from random neuronal activity during EEG recordings.
This experimental study aims to investigate the feasibility and
effectiveness of using the TGAM EEG sensor with Arduino software to measure and
evaluate focus levels in individuals. By leveraging real-time brainwave data,
the study aims to explore the potential of this innovative approach to
objectively measure focus and provide valuable insights for personalized
learning and attention management.
This study demonstrated the feasibility of measuring focus levels using
the TGAM EEG sensor and Arduino software. The accuracy and precision of focus
measurement can be affected by external factors such as sensor placement and
individual differences in brain activity. By combining brainwave data
collection with data processing techniques, we created a more objective and
quantitative approach to assessing focus. Our findings can provide a foundation
for future research and applications in areas where focus plays a critical role.
Data from EEG sensors opens up possibilities for innovative measurement tools
that potentially benefit fields such as education, cognitive psychology, and
workplace productivity. It will shed light on future studies. In addition, our
study can be improved by making use of artificial intelligence techniques in
the analysis of the obtained data.