TY - GEN
T1 - Low-Cost System for Neuro-Technological Applications Based on Virtual Reality and BCI Techniques
AU - Urbano, Kitty
AU - Auccahuasi, Wilver
AU - Meza, Sandra
AU - Espindola-Milla, Armando
AU - Rodriguez-Saavedra, Liliana
AU - Castro-Mejia, Percy
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Information and communication technologies are allowing the emergence of various high-impact applications, through the use of low-cost hardware and software, with functionalities similar to traditional equipment where the difference lies in the cost of acquisition and implementation. Such is the case of the use of Virtual Reality Technologies and Brain-Computer Interfaces. In the present work we developed a method to interact devices based on BCI technology and Virtual Reality, in order to record measurements of attention, meditation and EEG signals when interacting with virtual reality glasses, in various situations, the device used is a low cost brain computer interface, working in conjunction with the Virtual Reality glasses of the Oculus Gest 2 model. The proposed methodology can be applied in multiple areas and applications, we present applications in the areas of education and health, exploiting the working with multiple virtual scenarios, where the student can evaluate the level of attention with respect as well as brain behavior measured by EEG signals, similar case we present applications in the area of health, where the patient can perform rehabilitation treatments by visual stimulation through virtual reality scenarios.
AB - Information and communication technologies are allowing the emergence of various high-impact applications, through the use of low-cost hardware and software, with functionalities similar to traditional equipment where the difference lies in the cost of acquisition and implementation. Such is the case of the use of Virtual Reality Technologies and Brain-Computer Interfaces. In the present work we developed a method to interact devices based on BCI technology and Virtual Reality, in order to record measurements of attention, meditation and EEG signals when interacting with virtual reality glasses, in various situations, the device used is a low cost brain computer interface, working in conjunction with the Virtual Reality glasses of the Oculus Gest 2 model. The proposed methodology can be applied in multiple areas and applications, we present applications in the areas of education and health, exploiting the working with multiple virtual scenarios, where the student can evaluate the level of attention with respect as well as brain behavior measured by EEG signals, similar case we present applications in the area of health, where the patient can perform rehabilitation treatments by visual stimulation through virtual reality scenarios.
KW - Applications
KW - BCI
KW - Low Cost System
KW - Neuro-technologies
KW - Signals
KW - Virtual Reality
UR - https://www.scopus.com/pages/publications/105045692966
U2 - 10.1109/I-SMAC65734.2025.11597824
DO - 10.1109/I-SMAC65734.2025.11597824
M3 - Conference contribution
AN - SCOPUS:105045692966
T3 - Proceedings of the 9th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2025
SP - 882
EP - 888
BT - Proceedings of the 9th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2025
T2 - 9th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2025
Y2 - 8 October 2025 through 10 October 2025
ER -