ADAPTIVE BABY MONITORING SYSTEM Team 56 Michael Qiu, Luis Ramirez, Yueyang Lin ECE 445 Senior Design May 3, 2016.

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Presentation transcript:

ADAPTIVE BABY MONITORING SYSTEM Team 56 Michael Qiu, Luis Ramirez, Yueyang Lin ECE 445 Senior Design May 3, 2016

Motivation

Introduction  Purpose Notify parents or guardians with hearing disorders whenever their baby cries Provide quick, automated solution to ease baby’s crying  Features Cry detector Mobile notifications through Bluetooth Music player

System Overview

Project Setup

Cry Detector Apply MFCC Filter SVM Classifier Cry No Cry

Mel-Frequency Cepstrum Coefficients Purpose: Obtain average power distributed across frequency components in compact form 1)Divide the signal into 25ms frames 2)Take Discrete Fourier Transform of windowed excerpt of signal 3)Obtain power spectral estimate

Mel-Frequency Cepstrum Coefficients (continued) 4)Compute Mel-spaced Filterbank and filterbank energies (26 filterbanks)

Mel-Frequency Cepstrum Coefficients (continued) 5)Take Discrete Cosine Transform of log filterbank energies to obtain cepstral coefficients (13 MFCC coefficients)

MFCC Results

Support Vector Machine Classifier Define optimal separating hyperplane based on training data Minimize distance between hyperplane and data points from training data 2 categories: “cry” and “no cry” Optimization Problem Minimize Subject to

Cry Detector Results 10-fold Cross Validation Accuracy: % Resubstitution Loss: % Testing Set: 50 cry samples: 100% accuracy 50 no-cry samples: 88.89% accuracy False Detection Rate: 11.11%

Digital Signal Processor Export SVM Classifier from MATLAB onto on-chip memory of DSP Implement MFCC process Send signal to microcontroller based on classification result Challenges: On-chip memory not big enough to store SVM classifier parameters Instruction set very limited

Microcontroller An atmega328p is used as the microcontroller for the system Controls when to start and stop the audio playback Sends serial data to the Bluetooth to send the notification to phone

Audio Playback Purpose Used for playing lullabies to calm down a baby Only triggered once the a cry has been detected Challenges Had to playback an audio file once a cry was detected Minimize the amount of audio artifacts

Audio Playback Requirements Needed to minimize audio popping and other artifacts Less than 5 artifacts/minute Solution Disable audio before audio file was done playing Include a delay during the playback to prevent slow down

Audio Amplifier Why do we need an audio power amplifier? Microcontroller output has low voltage levels and current limitation. Speakers requires a lot of current to drive because of their low impedance.

Audio Amplifier Implementation Differential input stage to compress common mode noise Class A voltage amplification to minimize distortion Class AB output stage for high current output

Audio Amplifier Challenges and Solutions Power dissipation vs. distortion Use a controllable voltage spreading network to achieve optimal balance Output stability Add Miller capacitor to lower the frequency of output pole Ripple rejection Use regulated power supply Change the topology to increase power supply rejection in the future

Audio Amplifier

Output at least 8Vp-p to 8Ω load with 1Vp-p input at 1kHz Ensure enough power for sound pressure level Ensure at least 8V/V overall gain Vin Vout

Audio Amplifier Other requirements and Tests: 3dB bandwidth covers 20Hz-20kHz Gain drops by 0.14dB at 20Hz and 0.06dB at 20kHz Idle power less than 2W At idle, power dissipation = 12V*0.066A+|(-12V)|*0.081A=1.764W DC offset less than 1V DC offset is -0.13V Adjustable gain Achievable with a potentiometer

Power Supply ComponentVoltageCurrentPowerTest Results Amplifier+12V1A12W+11.8V -12V-12.2V Microcontroller+5V4mA20mW+5.04V SD Card+3.3V100mA330mW+3.29V Bluetooth+5V30mA150mW+5.04V Total>13W

Power Supply

Further work Possible features include On/Off command support from Bluetooth. Volume control command from Bluetooth. Full range of lullabies to pick and choose from. Using a DAC for better sound quality. Wider range of training data for classifier. Sending microphone audio through Bluetooth.

Thank you!