Explorando Visão Computacional e IA para Auxiliar Indivíduos no Espectro Autista com o Reconhecimento de Expressões Faciais e Sentimentos
Resumo
O Transtorno do Espectro Autista (TEA) abrange distúrbios do desenvolvimento que afetam a interação social e a comunicação. Esta pesquisa investiga o uso da inteligência artificial (IA), aprendizado de máquina e visão computacional para auxiliar indivíduos com TEA no reconhecimento de expressões faciais e emoções. Dada a crescente prevalência do TEA, que em 2020 afetava 1 em cada 36 crianças, é essencial desenvolver ferramentas inovadoras. Este estudo combina uma revisão da literatura com uma implementação prática, utilizando as bibliotecas DeepFace e OpenCV do Python, para criar uma ferramenta acessível e intuitiva destinada a profissionais de saúde, familiares e pessoas no espectro. A ferramenta permite o treinamento de habilidades sociais em qualquer lugar e a qualquer momento, despertando o interesse das pessoas com TEA em desenvolver suas competências sociais por meio de tecnologias atuais. Esta abordagem representa um avanço no uso de tecnologias avançadas para enfrentar os desafios associados ao TEA, destacando a importância de continuar explorando e aprimorando essas soluções.Referências
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Contreras-Ortiz, M. S., Marrugo, P. P., and Ribon, J. C. R. (2023). E-learning ecosystems for people with autism spectrum disorder: A systematic review. IEEE Access.
Durkin, K. and Conti-Ramsden, G. (2007). Turn off or turn on? technology, television, and language in the home. Journal of Child Psychology and Psychiatry, 48(10):1058–1065.
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Picard, R. W. (1997). Affective Computing. MIT Press.
Pressbooks (2024). Introduction to sociology: Socialization. Accessed: 2024-06-04.
Scassellati, B., Admoni, H., and Mataric, M. J. (2012). Robots for use in autism research. Annual Review of Biomedical Engineering, 14:275–294.
Schneider, B. H. (1993). Children’s social competence in context: The contributions of family, school and culture, volume 10. Psychology Press.
Silva, A. B. B. (2012). Mundo Singular: Entenda o autismo. Editora Fontanar.
Stravogiannis, A. L. (2020). Autismo: Um olhar por inteiro. Literare Books International, São Paulo.
Thomas Malone, D. R. e. R. L. (2023). Machine learning, explained. [link]. Acessado em: 2024-06-04.
Umberson, D., Chen, M. D., House, J. S., Hopkins, K., and Slaten, E. (1996). The effect of social relationships on psychological well-being: Are men and women really so different? American sociological review, pages 837–857.
Volkmar, F. R. (2013). Autism spectrum disorders. In Volkmar, F. R., editor, Encyclopedia of Autism Spectrum Disorders, pages 345–349. Springer.
Wainer, A. L., Ferrari, E., Dautenhahn, K., Robins, B., and Amirabdollahian, F. (2014). The effectiveness of using a humanoid robot to teach social skills to children with autism spectrum disorder. International Journal of Social Robotics, 6(4):423–435.
Zeng, Z., Pantic, M., Roisman, G. I., and Huang, T. S. (2021). A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):39–58.
Zilbovicius, M., Meresse, I., and Boddaert, N. (2006). Autismo: neuroimagem. Rev. Bras. Psiquiatr., 28:s21–s28.
American Psychological Association (2021). Nonverbal communication.
Bandura, A. et al. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28):2.
Bernard-Opitz, V., Sriram, N., and Nakhoda-Sapuan, S. (2001). Enhancing social problem solving in children with autism and normal children through computer-assisted instruction. Journal of Autism and Developmental Disorders, 31(4):377–384.
Contreras-Ortiz, M. S., Marrugo, P. P., and Ribon, J. C. R. (2023). E-learning ecosystems for people with autism spectrum disorder: A systematic review. IEEE Access.
Durkin, K. and Conti-Ramsden, G. (2007). Turn off or turn on? technology, television, and language in the home. Journal of Child Psychology and Psychiatry, 48(10):1058–1065.
Ekman, P. (2003). Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life. Henry Holt and Company.
el Kaliouby, R. and Fernandez, C. C. (2020). Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology. Currency.
Goodwin, M. S., Intille, S. S., Albinali, F., and Velicer, W. M. (2008). Enhancing social communication through aac systems for children with autism spectrum disorders. Autism, 12(6):583–600.
Happy, S. L., Dantcheva, A., and Dugelay, J. L. (2019). Recognizing facial expressions in the wild using deep learning techniques. Journal of Computer Vision, 127(2):314–327.
Lumen Learning (2024). Introduction to sociology: Socialization. Accessed: 2024-06-04.
Maenner, M. J. (2021). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, united states, 2018. MMWR, 70.
McQuail, D. (2001). Introdução à Teoria da Comunicação. Loyola.
OLIVEIRA, L. A. d. (2019). Aproximações entre habilidades sociais e gamificação em crianças com espectro autista: um estudo de levantamento bibliográfico.
Picard, R. W. (1997). Affective Computing. MIT Press.
Pressbooks (2024). Introduction to sociology: Socialization. Accessed: 2024-06-04.
Scassellati, B., Admoni, H., and Mataric, M. J. (2012). Robots for use in autism research. Annual Review of Biomedical Engineering, 14:275–294.
Schneider, B. H. (1993). Children’s social competence in context: The contributions of family, school and culture, volume 10. Psychology Press.
Silva, A. B. B. (2012). Mundo Singular: Entenda o autismo. Editora Fontanar.
Stravogiannis, A. L. (2020). Autismo: Um olhar por inteiro. Literare Books International, São Paulo.
Thomas Malone, D. R. e. R. L. (2023). Machine learning, explained. [link]. Acessado em: 2024-06-04.
Umberson, D., Chen, M. D., House, J. S., Hopkins, K., and Slaten, E. (1996). The effect of social relationships on psychological well-being: Are men and women really so different? American sociological review, pages 837–857.
Volkmar, F. R. (2013). Autism spectrum disorders. In Volkmar, F. R., editor, Encyclopedia of Autism Spectrum Disorders, pages 345–349. Springer.
Wainer, A. L., Ferrari, E., Dautenhahn, K., Robins, B., and Amirabdollahian, F. (2014). The effectiveness of using a humanoid robot to teach social skills to children with autism spectrum disorder. International Journal of Social Robotics, 6(4):423–435.
Zeng, Z., Pantic, M., Roisman, G. I., and Huang, T. S. (2021). A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):39–58.
Zilbovicius, M., Meresse, I., and Boddaert, N. (2006). Autismo: neuroimagem. Rev. Bras. Psiquiatr., 28:s21–s28.
Publicado
17/10/2024
Como Citar
BARBOSA, Beatriz Barreto Marreiros; BARRETO, Carlos Futino; ROCHA, Cristovam Paulo de Brito; VIEIRA, Francisco Luciani de Miranda; SOUSA, Lílian Gabriella Castelo Branco Alves de.
Explorando Visão Computacional e IA para Auxiliar Indivíduos no Espectro Autista com o Reconhecimento de Expressões Faciais e Sentimentos. In: ESCOLA REGIONAL DE INFORMÁTICA DO ESPÍRITO SANTO, 9. , 2024, Vitória/ES.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
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p. 1-10.
DOI: https://doi.org/10.5753/eries.2024.243877.
