Alcohol influences human physiology and behavior. Alcohol content is typically measured using a breath or blood analyzer. This project aims to monitor alcohol content based on eye movements and for that will use a large data set collected at Lowlands 2018.
What you will do
Alcohol influences human physiology and behavior. Alcohol content is typically measured using a breath or blood analyzer. Imec is considering less obtrusive ways to monitor alcohol content. This project aims to monitor alcohol content based on eye movements.
Within this project, Imec Netherlands has collected a large data set in volunteers at Lowlands 2018. Eye movements have been measured during specific tasks and games. Does alcohol content correlate with eye movement? What is the effect of the environment or history of the volunteer?
This thesis research includes the following steps: literature study to obtain an overview of the state of the art, cleaning of data and signal processing, data analysis, feature extraction and the development of machine learning algorithms. Within the project the student will be analyzing physiological data as well as contextual information obtained through questionnaires. During the project the student will interact with different experts on the topic. Finally, the student is expected to give a presentation and write a report. Depending on the results a journal publication should be prepared.
- Literature study.
- Signal processing.
- Data analysis.
- Machine learning.
What we do for you
By joining the Wearable Health Solutions team in Eindhoven, you will be part of a team of disruptive innovators and thinkers. Together, with our Researchers and Engineers, you will work on wireless and wearable healthcare applications that empower people to manage their own health. We invite you to be part of our ambitious team where your ideas will have an impact on our society and our future lives.
Who you are
- MSc in Biomedical engineering / Computer Science and Engineering / Electrical Engineering.
- Available for 9-12 months.
- Basic knowledge of or affinity with physiology.
- Followed courses on signal processing, data analysis and/or machine learning.
- Basic knowledge of Matlab and/or python.
- Motivated student eager to work independently and expand knowledge in the field.
- Good written and verbal English skills.
Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting. If you know someone who could be the right fit for the job click on ’refer’.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.