The computer that shows when the baby is hungry or in pain

The system, developed by researchers from the IEE and the Chinese Automatism Association, can reveal whether the cry is due to hunger, fatigue, disease or pain, Kosovo Prees broadcasts.

While each child's cry is unique, they share certain common traits when it results from the same reasons. The team used an algorithm based on automatic recognition of speech to detect and recognize the characteristics and screams of babies.

A new method of artificial intelligence is capable of identifying and distinguishing between infant crying to show what they want, or even in pain. The system may reveal whether crying is due to hunger, fatigue, or illness.

These sound signals are identified by using compressingʹ, a process that rebuilds a sound based on rare data, especially useful for noisy environments.

The most common reasons for infant crying are hunger, fatigue, gas, a dirty or wet diaper, when they want a hug, when they feel very hot or very cold, frustration, and oversimulation.

Researchers created an algorithm of language knowledge that can detect the meanings of normal and abnormal sound signals in a noisy environment. The algorithm collects the individual cry signals and then saves the information.

This means that it can be used in a broader sense in practical scenarios, as a way to recognize and classify different circuit characteristics and better understand why babies cry and how urgent their cries are.

The team hopes the findings may be applicable to other medical care circumstances in which decision-making is based on experience.

Research was published in Automatica Sicica (JAS)