Enhancing Robotics and Neurocybernetics with Brain-Computer Interfacing for Special Child Care
Poly Rani Ghosh1,3*, Halima Mowla2, Rahnuma Tasmin1
Journal of Primeasia 4(1) 1-6 https://doi.org/10.25163/primeasia.4140041
Submitted: 01 November 2022 Revised: 02 January 2023 Published: 07 January 2023
Abstract
Special Child Care is poised for a revolutionary change as a result of the ongoing advancements in technology. Robotics and neurocybernetics with BCI will be used to bring about this transformation, which has the unparalleled potential to improve the standard of care given to children with special needs. This can be achieved by delivering personalized and tailored support that addresses their unique needs and abilities. Furthermore, for children with autism or other social communication impairments, robotic companions can promote social contact and provide emotional support. These artificially intelligent companions can be trained to exhibit sympathetic actions and react suitably to the child's feelings, providing a level of understanding and connection that may be absent from traditional caregiving techniques. The objective of this paper is to delve into the ways in which robotics and neurocybernetics with BCI are revolutionizing Special Child Care. It explores cutting-edge technologies, such as customized therapies, enhanced learning environments, and devices that facilitate the growth and development of children with disabilities. This chapter provides a comprehensive review of robotics and neurocybernetics with BCI in the domain of special Child Care. The summary underscores the importance of interdisciplinary collaboration, ethical considerations, and prioritizing the needs of the users. In conclusion, robotics and neurocybernetics with BCI hold immense potential to significantly improve the lives of children with special needs within the care system.
Keywords: Robotics, Neurocybernetics, BCI (Brain-Computer Interface), Special Child Care, Personalized Support.
References
Asari, H., Ana, S., & Yumni, H. (2023). Caring for Autistic Children Based on the Development of a Family Stress Coping Model. Open Access Macedonian Journal of Medical Sciences, 11(G), 12-15. https://doi.org/10.3889/oamjms.2023.7878
Estévez, D., Terrón-López, M. J., Velasco-Quintana, P. J., Rodríguez-Jiménez, R. M., & Álvarez-Manzano, V. (2021). A case study of a robot-assisted speech therapy for children with language disorders. Sustainability, 13(5), 2771. https://doi.org/10.3390/su13052771
Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in special need education to promote inclusive pedagogy. International Journal of Information and Education Technology, 10(7), 523-527. https://doi.org/10.18178/ijiet.2020.10.7.1431
Gupta, S., Chugh, M., & Vyas, S. (2023). Understanding immersive technologies for autism detection: A study. Automation and Computation, 364-370. https://doi.org/10.1007/s00138-023-01210-3
Hashim, R., & Yussof, H. (2017, October). Feasibility of care robots for children with special needs: A review. In 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (pp. 379-382). IEEE. https://doi.org/10.1109/IRIS.2017.8127349
Jadavji, Z., Zewdie, E., McDonough, M., Kelly, D., Kinney-Lang, E., & Kirton, A. (2021). A Pediatric BCI Program for Children With Severe Neurological Disabilities: Thematic Analysis of Family Perspectives.
Joudar, S. S., Albahri, A. S., & Hamid, R. A. (2022). Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: a systematic review. Computers in Biology and Medicine, 146, 105553. https://doi.org/10.1016/j.compbiomed.2022.105553
Ojha, S., Narendra, A., Mohapatra, S., & Misra, I. (2023). From robots to books: An introduction to smart applications of AI in education (AIEd). arXiv preprint arXiv:2301.10026.
Pandya, S., Jain, S., & Verma, J. (2023). A comprehensive analysis towards exploring the promises of AI-related approaches in autism research. Computers in Biology and Medicine, 146, 107801. https://doi.org/10.1016/j.compbiomed.2023.107801
Putri, N. N., & Suen, M. W. (2024). Validity and reliability of quality of life scale for parents of autistic children in Indonesia. In N. Elbo, M. Desai, & R. Smith (Eds.), Families Mental Health and Challenges in the 21st Century (pp. 114-120). Routledge.
Rashidan, M. A., Na’im Sidek, S., Yusof, H. M., Khalid, M., Dzulkarnain, A. A. A., Ghazali, A. S., ... & Sidique, F. A. A. (2021). Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review. IEEE Access, 9, 33638-33653. https://doi.org/10.1109/ACCESS.2021.3065824
Sheffield Hallam University. (n.d.). Advanced Wellbeing Research Centre: Robots for ASD children. Retrieved July 4, 2024, from https://www.shu.ac.uk/advanced-wellbeing-research-centre/projects/robots-asd-children
Sundas, A., Badotra, S., Rani, S., & Gyaang, R. (2023). Evaluation of autism spectrum disorder based on the healthcare by using artificial intelligence strategies. Journal of Sensors, 2023, 1-12. https://doi.org/10.1155/2023/2754098
Tarantino, L., Attanasio, M., Valenti, M., & Mazza, M. (2023). Challenges in future all-round digitalized ASD care services. Proceedings of the CEUR Workshop, 1613-0073.
Virnes, M. (2008, June). Robotics in special needs education. In Proceedings of the 7th International Conference on Interaction Design and Children (pp. 29-32).
Zhu, H., Forenzo, D., & He, B. (2022). On the deep learning models for EEG-based brain-computer interface using motor imagery. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2283-2291. https://doi.org/10.1109/TNSRE.2022.3150109
View Dimensions
View Altmetric
Save
Citation
View
Share