During the first two years of life, the motor development of children is monitored closely, as motion is the natural base for their other development and interaction with the environment. Current methods do not allow accurate developmental monitoring throughout early childhood.
MAIJU (Motor Assessment of Infants with a Jumpsuit) is designed to solve these problems. The suit is based on multisensor measurement, which are used to make reliable and versatile measurements of children’s motion with the help of dedicated AI algorithms. 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. A recent study demonstrates that the AI algorithms of the MAIJU identify motor milestones with the same precision as trained specialists.
A total of 620 at-home measurements were carried out on 134 children aged from 4 to 22 months. The findings show that the MAIJU enables very reliable and objective developmental assessment at the child’s home. At-home measurements and the AI algorithms provide detailed results that can be used, for example, to screen developmental delays, assess the effectiveness of rehabilitation, and conduct extensive multinational studies. (Image credit: Sampsa Vanhatalo)
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