The following research topics are available for students that want to do their bachelor- or masterproject. A exact project should be defined based on the skills and the program of a student.
Determining the relation between daytime physical activity and sleep delay
In the context of a study in which we try to model bedtime procrastination, we would like to investigate the relation between automatically measured daytime physical activity and sleep delay. For this we have a dataset of physical activity measured with a Fitbit device for around 90 people during a period of 12 weeks. The aim if this project is twofold: first, we would like to see whether it is possible to estimate bedtime from the physical activity data; second, it should be investigated whether there is a correlation between physical activity during (different periods of) the day and bedtime delay (deviations from average bedtime).
Measure protein intake of elderly / modeling cognitions around food intake
In the PROMISS project, the goal is to reduce malnutrition among elderly. Within this project, a prototype of a simple food intake measurement system should be designed and built. This involves physical computing devices (e.g. Arduino boards, RaspberryPi’s, sensors). The idea is that some different types of food are identified and for those types some specific measuring devices are developed, e.g. how often a cupboard has been opened, a weight scale for milk, etc.
In addition, a computational model of the cognitive and behavioural aspects related to food intake for elderly should be developed. This could be based on existing models for behaviour change. The model will form the basis for a persuasive system that provides personalized guidance to elderly to increase their protein intake.
Determining trustworthiness of EMA ratings
In the E-Compared project, a mobile system has been developed that is used to monitor the mood of depressed patients during their therapy. This systems asks several times per day specific questions about a person’s mood, thoughts or feeling (EMA ratings). The goal of this student project is to investigate whether we can use detailed data about the way in which people answer those questions to determine the trustworthiness of the answers. One could think of aspects like “time between showing the question and the answer”, “time that finger pressed screen”, “physical distance of movement of finger”, etc. This project will be done in collaboration with the developers of the app, the University of Limerick. Not much programming is required.
Technological support for helping mildly mentally handicapped people in work
For people with a mild mental handicap it is usually difficult to find work and / or to stay within a job. In a project in collaboration with the UWV, the possibilities of new technologies are investigated. Based on an analysis of needs that has been performed, a prototype of a technological tool for this audience should be developed. The exact form is still to be determined; an option is an easy to use matching system that allow to present yourself via video’s, or an Virtual Reality / Augmented Reality tool that explains specific skills that are relevant for a job.