Baby Crying Detector; Figure 7. Fft Analysis - From Time To Frequency Domain; Figure 8. Fft Analysis - Principles - ST STEVAL-MKSBOX1V1 User Manual

How to use the wireless multi sensor development kit with customizable app for iot and wearable sensor applications

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Baby crying detector

The baby crying detector (BCD) app implements the Fast Fourier Transform (FFT) and artificial intelligence

processing to detect baby crying events using the

The analysis of the acquired audio is based on the FFT that converts a signal from its original time domain to a

representation in the frequency domain.

The FFT of the audio signal is the result of all the contributions of each frequency and the related magnitude

factor generated by the audio signal.

UM2580 - Rev 5

Sensortile.box

Figure 7.

FFT analysis - from time to frequency domain

Figure 8.

FFT analysis - principles

Mode 1 example apps

on-board microphone.

UM2580

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