Type: Bachelor Master
Status: Draft
Student:

Mobile and wearable devices can nowadays be used as highly available, non-invasive tools to monitor human behavior. Their ubiquitous characteristics encourage their employment in personal health monitoring systems. Such systems provide the user with continuous feedback about daily behavior, productivity, well-being, etc.
Daily sleep is considered a pivotal factor in daily routine due to its role in the rejuvenate of brain and body from accumulated daily basis fatigue. The continuous quantification of sleep quality helps in assessing human health and life patterns. However, the interpersonal variability hinders this task by creating a significant gap between the user-reported sleep quality and the objective sleep quality.
The goal of this thesis is to analyze the impact of different personal characteristics on the user-reported sleep quality. Then, to make use of this knowledge along with physiological signals from wearable devices to build a personalized sleep quality predication model.

This project is available as a MSc thesis or as a BSc thesis (with reduced tasks).

For more information contact: Nouran Abdalazim