Japanese scientists have developed a statistical program that could enable portable baby-monitoring devices to determine whether infant cries mean a baby is sleepy, hungry, needs a change, or is in pain. Tomomasa Nagashima and colleagues at the Muroran Institute of Technology used a sound pattern recognition strategy to analyze infants’ crying patterns. The team analyzed the frequency of cries and the power function of the audio spectrum to classify different types of crying. Nagashima and colleagues were able to correlate the different recorded audio spectra with the emotional state of a baby as confirmed by the parents. Recordings of a crying baby with a painful genetic disorder helped the researchers differentiate the cries of babies who are in pain. They were able to achieve a 100 percent success rate in classifying pained cries and normal cries via their technique.
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