Correlating audio and visual information for neonatal screening

Thesis Type: Master Thesis for Electronic Engineering/Computer Science or equivalent

Requirements 
• Experience with MatLab and possibly OpenCV
• Good knowledge of image processing techniques
• Basic knowledge of audio processing

Description
Nowadays, the analysis of newborns’ level of wellness and reactivity is usually performed by operators which give a subjective evaluation of the baby. A lot of information can also be gathered by exploiting the movements and the sounds emitted by the babies and by correlating them.

The objective of this work is to develop image-processing based algorithms able to automatically analyze the wellness of a baby by tracking his movements, recognizing facial expressions and more. A framework will be proposed to study his/her physiological needs by processing the recorded audio and video.

Contact: send CV to gavelli@ismb.it specifying the thesis code and title.