The AI4Autism Project : A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification

Conférence Chapitre d'actes The AI4Autism Project : A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification eng 2023-10-09 2023-10-09 author Tafasca Samy 0009-0008-2427-7406 Idiap Research Institute, Switzerland and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland 417704 author Gupta Anshul 0009-0004-0388-6350 Idiap Research Institute, Switzerland and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland author Kojovic Nada 0000-0003-0116-2485 Autism Brain and Behavior lab, Psychiatry Department, University of Geneva, Switzerland 776933 Département de psychiatrie (PSYAT) author Gelsomini Mirko 0000-0001-8421-6850 Information Systems and Networking Institute (ISIN), La Scuola Universitaria Professionale della Svizzera Italiana (SUPSI), Switzerland author Maillart Thomas 0000-0002-5747-9927 School of Economics and Management, University of Geneva, Switzerland 860598 Recherche et enseignement GSEM (RESEM) author Papandrea Michela 0000-0003-3573-6221 Information Systems and Networking Institute (ISIN), La Scuola Universitaria Professionale della Svizzera Italiana (SUPSI), Switzerland author Schaer Marie 0000-0001-8479-6365 Autism Brain and Behavior lab, Psychiatry Department, University of Geneva, Switzerland 510515 Département de psychiatrie (PSYAT) author Odobez Jean-Marc 0000-0002-9537-9898 Idiap Research Institute, Switzerland and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland 414-425 10.1145/3610661.3616239 979-8-4007-0321-8 https://dl.acm.org/doi/10.1145/3610661.3616239 Nowadays, 1 in 36 children is diagnosed with autism spectrum disorder (ASD) according to the Centers for Disease Control and Prevention (CDC) [52], which makes this condition one of the most prevalent neurodevelopmental disorders. For children on the autism spectrum who face substantial developmental delays, the trajectory of their cognitive growth can be markedly improved by interventions if the condition is identified early. Therefore, there is a critical need for more scalable screening and diagnostic tools, as well as the need to improve phenotyping to refine estimates of ASD symptoms in children. Here, we introduce AI4Autism: a 4-year project funded by the Swiss National Science Foundation, which aims to address the needs outlined above. In this project, we examine the potential of digital sensing to provide automated measures of the extended autism phenotype. This is accomplished using multimodal techniques based on computer vision and Internet of Things sensing, for the purpose of stratifying autism subtypes in ways that would allow for precision medicine. We present an overview of our main results so far, introducing datasets and annotations that we intend to make publicly available, as well as methods and algorithms for analyzing children’s behaviors and producing an ASD diagnosis. Autism Computer vision Internet of things Datasets Gaze detection Behavior analysis Neural networks Dewey 616.89 Dewey 330/650 Association for Computing Machinery New York 60 Département de psychiatrie 225 9 Faculté d'économie et de management S false 1360 Autism Brain and Behavior Lab 1033 ICMI '23 Companion : Companion Publication of the 25th International Conference on Multimodal Interaction André, E. & Chetouani, M. 9-13 octobre 2023 Paris fe6c3715-1aa3-4345-b822-b8ee8fc07255 Proceedings chapter (Published version) Public Actes_de_conférence_from_crossref.pdf 33270032 application/pdf 84ac0da232bf99204f04a7fa1eaecd08052d90424c0c7b05ca726398f1cf14a2 openAccess Faculté de médecine / Section de médecine clinique / Département de psychiatrie Faculté d'économie et de management

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The AI4Autism Project : A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification	ICMI '23 Companion : Companion Publication of the 25th International Conference on Multimodal Interaction			2023	198	849

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Tafasca, Samy