Innovative infant wearable uses AI for at-home assessments of early motor development

Researchers designed MAIJU (Motor Assessment of Infants with a Jumpsuit) to solve these problems. The suit is based on multisensor measurements, which are used to make reliable and versatile measurements of children's motion with the help of dedicated AI algorithms.

Monitoring early neurological development is a central part of pediatric health care everywhere in the world. During the first two years of life, the motor development of children is monitored closely, as motion is the natural basis for their other development and interaction with the environment. Current methods, such as parents’ subjective assessment and observations made at medical appointments, do not allow accurate developmental monitoring throughout early childhood.

The suit is worn at home, where the child’s activity is measured during free play. The AI algorithms assess whether the child has reached specific motor milestones, how much time the child spends in different postures and how steadily the child develops from month to month.

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