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Writer's pictureVon Ralph Dane Marquez Herbuela

The 17th Human Interface Research Awards: Needs prediction system for individuals with SMID

Updated: May 26, 2021

Our study on developing a prediction accuracy system for predicting the needs of children with severe physical and mental disabilities, "Development of a system for guessing the needs of people with severe motor disabilities 5 - Verification of a system for predicting the needs of people with severe motor and intellectual disabilities (SMID) that integrates expressive responses and environmental information," has been selected for the 17th Human Interface Society of Japan Research Award.

With your help, we have been able to continue these efforts. Thank you very much for your support.

Dr. Tomonori Karita

Lab Head, Karilab, Ehime University


This research was conducted as part of the Ministry of Internal Affairs and Communications' Strategic Information and Communications R&D Promotion Project (SCOPE) "Development of a Desire Estimation System for People with Severe Motor Disabilities" (181609003).




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