Thesis Proposal - Pose based occupant monitoring for driverless buses: Privacy preserving detection of critical passenger events

As public transport moves towards driverless vehicles, in-cabin cameras are proposed to detect critical passenger events such as

falls, medical emergencies and conflicts. However, continuous monitoring of passengers raises GDPR concerns, since raw footage is

personal data and is costly to justify, store and protect under the regulations data minimization principle.

To reduce the collection of personal data, passengers could be represented as skeleton points (pose estimation data) instead of

raw video. This thesis examines whether skeleton data alone is sufficient to reliably detect passenger events and behaviors, as a

way of making GDPR compliance easier to achieve.

• Assess, using GDPR's data-minimization principle, what personal data the skeleton representation avoids collecting compared to

conventional video.

To give you the best possible support during your thesis, we’d like you to be able to come to the office connected to the project

and spend most of your time working from there.

We look forward to receiving your resume, and preferably, a personal letter in which you explain why you want to write your thesis

with Syntronic.