Descripción del proyecto
Plataforma de intervención para el autismo basada en la inteligencia artificial
Los niños con autismo no siempre tienen acceso a la terapia que necesitan para aumentar sus oportunidades más adelante en su vida. Hay una demanda insatisfecha de expertos que formen a los padres y a los terapeutas en esta terapia que cambia la vida. En el proyecto SocialMind, financiado con fondos europeos, se forma a padres y terapeutas. Aprenden, de forma sencilla, las estrategias de desarrollo necesarias. Mientras trabajan con su hijo, se filman a sí mismos con su teléfono inteligente. SocialMind genera una respuesta de vídeo automatizada y personalizada a través de la tecnología de inteligencia artificial del proyecto. Ahora cualquier persona con un teléfono inteligente puede ayudar como terapeuta.
Objetivo
"An intensive evidenced-based therapy in the early years of a child with autism determine the child's developmental trajectory. Children with autism don't get the therapy they need due to lack of qualified therapists and lack of training. SocialMind developed a platform that trains parents and therapists to turn every interaction into an evident-based opportunity. The company developed a protocol that is based on ESDM (Early Start Denver Model) and PRT (Pivotal Response Treatment) autism evidence-based intervention. SocialMind broke down these comprehensive interventions into a series of concrete parenting skills, that motivate the child to interact and learn throughout the day. An essential component of the solution is based on the ability of the parent to upload a video of themselves interacting with their child and get a response from our Hybrid-Response system: AI software analyzes the audio and visuals, and then a member of our community of qualified reviewers (parents that are our mega users, and students) goes over and complements the machine assessment. The company has so far helped 150 children progress.
In the uploaded video the company annotates child and parent behaviors and makes a ""basic behavior annotation"" that enables an accurate and efficient review and feedback, feedback is generated that is synchronized to the interaction, and sent back to the parent. A second machine analysis will be used on the feedback to identify errors and alert the expert level before the feedback is sent back to the parent.
Based on data collected from home interactions, the system will learn novel therapy insights from analyzing child development characteristic, parent implementation characteristics, and the best intervention skill that the parent should learn to optimize their child's development at the current stage."
Ámbito científico
Programa(s)
- HORIZON.3.2 - European innovation ecosystems Main Programme
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-AG-LS - HORIZON Lump Sum GrantCoordinador
3707948 PARDES CHANA- KARKUR
Israel