Researchers are exploring the use of wearable accelerometry to screen for cerebral palsy risk in infants under nine weeks. Studies are analyzing various aspects of infant movement, including vibration, comfort, trunk motion, and spontaneous movement, to improve diagnosis. The use of portable technologies, machine learning models, and deep learning may facilitate early screening and assessment of motor development in infants.