Title: Smart Mirror to monitor Health Status using Biological Signals
Subject: Computer science
Level: Basic/Advanced
Description: Human face reveals the healthy status of an individual through a combination of physical signs and facial expressions [1]. The goal of this project is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance.

In this projects you have to develop a smart mirror which will display your physiological parameters such as Heart rate (HR), Respiration rate (RR), Inter-bit-Interval (IBI), Blood Pressure (BP) etc. using non-contact system such as camera [2]. The mirror should detect your sleeping status at last night analysis your eye pupil or others areas of the face [3]. Physiological parameters can be extracted using facial videos. The display may also have date and time and starting with greetings like figure. The mirror will display some of the daily reminder too.

Your system should have one or several artificial intelligence algorithms to build the intelligent system.



The project works can be subdivided as follows:

1. Data Collection using both non-contact (Camera )and contact (sensors) systems
2. Expected Intelligent System Development
3. Evaluation
4. Outcome

To run this project successfully you need to collect necessary data to analyze our intelligent system. Then you will develop desired intelligent system to display physiological parameters such as Heart Rate (HR), Respiration Rate (RR), Inter-bit-Interval (IBI), Heart Rate Variability (HRV) and others health status on the mirror or on the display devices.

We expect to display Health Status and warning on the display as standard output.



References:

[1] Y. Andreu-Cabedo, P. Castellano, S. Colantonio, G. Coppini, R. Favilla, D. Germanese, et al., "Mirror mirror on the wall… An intelligent multisensory mirror for well-being self-assessment," in Multimedia and Expo (ICME), 2015 IEEE International Conference on, 2015, pp. 1-6.
[2] H. Rahman, M. U. Ahmed, and S. Begum, "Non-contact Physiological Parameters Extraction using Camera," in The 1st Workshop on Embedded Sensor Systems for Health through Internet of Things (ESS-H IoT), Oct., 2015.
[3] A. Lanat, x00E, A. Armato, G. Valenza, and E. P. Scilingo, "Eye tracking and pupil size variation as response to affective stimuli: A preliminary study," in Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on, 2011, pp. 78-84.
Start date: 2019-01-21
End date: 2019-06-12
Prerequisites: Prior Knowledge of Image Processing and Computer Vision
IDT supervisors: Hamidur Rahman
Examiner: Mobyen Uddin Ahmed
Comments: