Requirements:
• MS students in Electronic Engineering/Computer Science or equivalent
• Experience with MatLab
• Good knowledge of image processing techniques
Description:
Image processing can dramatically help the recognition of a user’s vital sign (heart rate, respiratory rate…) by processing the so-called micro-movement of the body. This subtle motion can be study by acquiring video data thus deriving significant information for clinical assessment without the need of a contact with the user. The objective of this work is to study the already implemented algorithms in this emerging field, and modify them in order to fit them to heterogeneous scenarios and test the performance.
Contacts: Send CV to daniele.brevi@linksfoundation.com specifying the thesis code and title
