Technology that measures the curative effect of children with low visual perception
and eye-hand coordination skills by repeated training with digital therapeutics.
Technology that automatically analyzes voice recognition of autistic children, fluency in pronunciation,
grammar and expression, severity of autism by fine-tuning collected corpus data of autistic children
based on the automatic recognition of Korean language children's speech.
Image analysis technology to detect unusual repeated
abnormal behaviors by children with developmental disabilities.
Engagement assessment and feedback technology
for attention improvement training in children.
Human Detection / Face Recognition, Posture Estimation / Eye Gaze Detection, Heat Map
Base technology for detecting abnormal behavior in children,
improving communication skills, and sensory integration therapy.
Using XR(VR/AR/MR) technology, a medical digital twin that reflects a child's developmental status can
be realistically visualized for medical staff, and digital treatment contents can be realistically visualized
for users to increase immersion, thereby improving motivation.
Technology to create personalized digital therapeutics
with integration of treatment goal setting, treatment scenario selection,
difficulty adjustment, and evaluating the Real-World Evidence (RWE).