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An intelligent system for infant cry detection and information in real time

Acoustic analysis of infant cry signal can indicate the physical-emotional state of a baby and the cry-cause. Knowing it remotely is a challenge for working parents. This paper proposes an ‘Intelligent Cry Detection Information System (ICDIS)’, to automatically detect an infant's cry and alert the parents. Parents can verify whether baby is in-fact crying, by informing a care taker who can send a web/app-controlled smart robot to fetch live video-streaming. It also sends text/image message to the parent, with urgency-level. The proposed system consists of sensors, Signal Processing Unit (SPU) and Information Transmission Unit (ITU). The audio-visual signals are processed in SPU. Acoustic features extracted from cry signal are analyzed. If a cry is detected then ITU automatically sends SMS to the parents. Performance of the prototype ICDIS is evaluated using a ‘Infant Cry Signals Database’. The proposed system has potential applications in child care centers, schools and hospitals etc.