Development of RelaxQuest: A Serious EEG-Controlled Game Designed to Promote Relaxation and Self-Regulation with a Potential Focus on ADHD Intervention
Source abstract
Abstract
This article presents the development of a serious game designed to help individuals improve their ability to relax and self-regulate, with a particular focus on children. Additionally, the game has the potential to become an effective tool for intervention in individuals with Attention Deficit Hyperactivity Disorder (ADHD) due to its integration of critical elements for measuring attention levels. These include omission errors, commission errors, response times, standard deviations of response times, and other relevant variables. The game allows control through electroencephalographic (EEG) signals, using alpha wave modulation and blinking as interaction methods. The amplification of alpha wave amplitude is associated with states of relaxation and mental tranquility, indicating that their modulation could potentially mitigate anxiety and enhance emotional self-regulation. The game’s primary objective is to encourage participants to attain relaxing mental states by overcoming challenges as they progress. In order to achieve this, the game’s development necessitated a comprehensive understanding of EEG signal processing, a crucial aspect meticulously explored in this article. In addition, this paper presents the results of alpha wave and flicker detection, along with a performance analysis that demonstrates satisfactory results. Subsequently, the game was assessed with children to evaluate its effectiveness, facilitating a comprehensive analysis of various performance parameters. The findings indicate that the game facilitates the gradual improvement of participants’ skills with each iteration, notably enhancing their capacity to achieve a state of relaxation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Attention Deficit Hyperactivity Disorder
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departamento de Ciencias Computacionales e Ingenierías, Universidad de Guadalajara/Centro Universitario de los Valles, Guadalajara-Ameca Highway Km. 45.5, Ameca 46600, Jalisco, Mexico
Funding
Universidad de Guadalajara (UDG) · Consejo Estatal de Ciencia y Tecnología de Jalisco (COECyTJAL) · Proposals of the Jalisco Scientific Development Fund to Address Social Challenges 2023 (FODECIJAL 2023)
References (42)
Show source-provided references
1. Zheng, Y., Li, R., Li, S., Zhang, Y., Yang, S., and Ning, H. (2021). A Review on Serious Games for ADHD. arXiv.
2. College Students with Adhd: Prescriptive Concepts for Best Practices in Career Development10.1177/0894845310378749 ↗
3. Developing Serious Video Games to Treat Attention Deficit Hyperactivity Disorder: Tutorial Guide10.2196/33884 ↗
4. Serious Games for the Treatment of Children with ADHD: The BRAVO Project
5. Alqithami, S. (2020, January 13–17). Modeling an AR Serious Game to Increase Attention of ADHD Patients. Proceedings of the 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain.10.1109/COMPSAC48688.2020.00-63 ↗
6. Babusiak, B., Hostovecky, M., Smondrk, M., and Huraj, L. (2021). Spectral Analysis of Electroencephalographic Data in Serious Games. Appl. Sci., 11.10.3390/app11062480 ↗
7. Sourina, O., and Liu, Y. (2015). EEG-Based Serious Games. Subconscious Learning via Games and Social Media, Springer.10.1007/978-981-287-408-5 ↗
8. Analyzing EEG Waves to Support the Design of Serious Games for Cognitive Training10.1007/s12652-018-0841-0 ↗
9. da Costa, N.M.C., Bicho, E., Ferreira, F., Vilhena, E., and Dias, N.S. (2021). A Multivariate Randomized Controlled Experiment about the Effects of Mindfulness Priming on Eeg Neurofeedback Self-Regulation Serious Games. Appl. Sci., 11.10.3390/app11167725 ↗
10. Kim, H., Miyakoshi, M., Kim, Y., Stapornchaisit, S., Yoshimura, N., and Koike, Y. (2023). Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals. Sensors, 23.10.3390/s23010277 ↗
11. Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review10.1080/10447318.2019.1612213 ↗
12. Padfield, N., Camilleri, K., Camilleri, T., Fabri, S., and Bugeja, M. (2022). A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control. Sensors, 22.10.3390/s22155802 ↗
13. Song, Z., Fang, T., Ma, J., Zhang, Y., Le, S., Zhan, G., Zhang, X., Wang, S., Li, H., and Lin, Y. (2021, January 22–24). Evaluation and Diagnosis of Brain Diseases Based on Non-Invasive BCI. Proceedings of the 2021 9th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Republic of Korea.10.1109/BCI51272.2021.9385291 ↗
14. Angulo Medina, A.S., Aguilar Bonilla, M.I., Rodríguez Giraldo, I.D., Montenegro Palacios, J.F., Cáceres Gutiérrez, D.A., and Liscano, Y. (2024). Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023). Sensors, 24.10.3390/s24227125 ↗
15. Zapała, D., Zabielska-Mendyk, E., Augustynowicz, P., Cudo, A., Jaśkiewicz, M., Szewczyk, M., and Francuz, P. (2020). The Effects of Handedness on Sensorimotor Rhythm Desynchronization and Motor-Imagery BCI Control. Sci. Rep., 10.10.1038/s41598-020-59222-w ↗
16. Development of a Brain-Computer Interface Based on Visual Stimuli for the Movement of a Robot Joints10.1109/TLA.2016.7437182 ↗
17. Pérez-Vidal, A.F., Garcia-Beltran, C.D., Martínez-Sibaja, A., and Posada-Gómez, R. (2018). Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors. Sensors, 18.10.3390/s18051483 ↗
18. Slow Cortical Potentials Neurofeedback in Children with ADHD: Comorbidity, Self-Regulation and Clinical Outcomes 6 Months after Treatment in a Multicenter Randomized Controlled Trial10.1007/s00787-018-01271-8 ↗
19. Newson, J.J., and Thiagarajan, T.C. (2019). EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies. Front. Hum. Neurosci., 12.10.3389/fnhum.2018.00521 ↗
20. An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential10.1109/TBME.2010.2055564 ↗
21. Recognizing Emotional States with Wearables While Playing a Serious Game
22. Serious Games for People with Mental Disorders: State of the Art of Practices to Maintain Engagement and Accessibility10.1016/j.entcom.2020.100396 ↗
23. Using EEG-Based Brain Computer Interface and Neurofeedback Targeting Sensorimotor Rhythms to Improve Motor Skills: Theoretical Background, Applications and Prospects10.1016/j.neucli.2018.10.068 ↗
24. Voss, P., Thomas, M.E., Cisneros-Franco, J.M., and de Villers-Sidani, É. (2017). Dynamic Brains and the Changing Rules of Neuroplasticity: Implications for Learning and Recovery. Front. Psychol., 8.10.3389/fpsyg.2017.01657 ↗
25. Li, L. (2010, January 10–12). The Differences Among Eyes-Closed, Eyes-Open and Attention States: An EEG Study. Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering, Wuhan, China.10.1109/WICOM.2010.5600726 ↗
26. Gonzalez, R.C., and Woods, R.E. (2018). Digital Image Processing, Pearson. [4th ed.].
27. Pactitis, S.A. (2011). Active Filters: Theory and Design, CRC Press.
28. The Effectiveness of Serious Games for Alleviating Depression: Systematic Review and Meta-Analysis10.2196/32331 ↗
29. Serious Games to Improve Social and Emotional Intelligence in Children with Autism10.1016/j.entcom.2021.100417 ↗
30. A Review on Serious Games for Dementia Care in Ageing Societies10.1109/JTEHM.2020.2998055 ↗
31. Serious Game Design and Clinical Improvement in Physical Rehabilitation: Systematic Review10.2196/20066 ↗
32. FOCUS: Detecting ADHD Patients by an EEG-Based Serious Game10.1109/TIM.2018.2838158 ↗
33. Evaluation of the Effect of a Serious Game on the Performance of Daily Routines by Autistic and ADHD Children10.1007/s41252-023-00319-4 ↗
34. Giannaraki, M., Moumoutzis, N., Papatzanis, Y., Kourkoutas, E., and Mania, K. (2021, January 21–23). A 3D Rhythm-Based Serious Game for Collaboration Improvement of Children with Attention Deficit Hyperactivity Disorder (ADHD). Proceedings of the 2021 IEEE Global Engineering Education Conference (EDUCON), Vienna, Austria.10.1109/EDUCON46332.2021.9453999 ↗
35. Alchalabi, A.E., Nour, A., and Shirmohammadi, S. (2017, January 2–4). More Attention, Less Deficit: Wearable EEG-Based Game for Focus Improvement. Proceedings of the 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH), Perth, WA, Australia.10.1109/SeGAH.2017.7939288 ↗
36. Automatic Identification of Children with ADHD from EEG Brain Waves10.3390/signals4010010 ↗
37. Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games10.1109/ACCESS.2023.3322932 ↗
38. Aloisio, A., Marzano, G., Bonanni, R., and Ricci, M. (2024, January 24–25). Serious Games for ADHD: A Narrative Review. Proceedings of the Digital Innovations for Learning and Neurodevelopmental Disorders, Rome, Italy.
39. AlShorman, O., Masadeh, M., Alzyoud, A., Bin Heyat, M.B., Akhtar, F. (2020, January 6–7). The Effects of Emotional Stress on Learning and Memory Cognitive Functions: An EEG Review Study in Education. Proceedings of the 2020 Sixth International Conference on e-Learning (econf), Sakheer, Bahrain.10.1109/econf51404.2020.9385468 ↗
40. Pérez Vidal, A.F., Rumbo Morales, J.Y., Ortiz Torres, G., Sorcia Vázquez, F.d.J., Cruz Rojas, A., Brizuela Mendoza, J.A., and Rodríguez Cerda, J.C. (2021). Soft Exoskeletons: Development, Requirements, and Challenges of the Last Decade. Actuators, 10.10.3390/act10070166 ↗
41. Real-Time EEG-EMG Human-Machine Interface-Based Control System for a Lower-Limb Exoskeleton10.1109/ACCESS.2020.2991812 ↗
42. A Study of the Attention Measurement Variables of a Serious Game as a Treatment for ADHD10.1007/s11277-014-1744-9 ↗