View Proposal

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Proposer

Marta Vallejo

Title

Exploring Attention and Cognitive Responses During Walking Using Pupil Labs "Pupil Invisible" Glasses

Goal

The project aims to analyse attention and cognitive responses in healthy individuals while walking under different conditions using video recordings from Pupil Labs "Pupil Invisible" glasses.

Description

Attention and cognitive responses are crucial aspects of human behaviour, especially during tasks requiring simultaneous motor and cognitive functions, such as walking. The Pupil Labs "Pupil Invisible" glasses offer a unique opportunity to capture first-person video and eye-tracking data, providing detailed insights into these processes. The primary objective is to gather insights into how individuals of various age groups navigate and respond to their environment. Secondary objectives include comparing attention levels across different age ranges, identifying environmental factors influencing cognitive responses, and developing a comprehensive dataset for future research on attention and mobility. The expected outcomes of this project include a detailed analysis of how different environments affect attention and cognitive responses during walking, insights into age-related differences in attentional focus and distraction, and a valuable dataset for future research on mobility and cognitive health.

Resources

The Pupil Labs "Pupil Invisible" glasses.

Background

The student needs to have an interest in machine learning, data analysis, and computer vision, with an openness to learning about eye-tracking technology as part of the project.

Url

External Link

Difficulty Level

High

Ethical Approval

Full

Number Of Students

2

Supervisor

Marta Vallejo

Keywords

machine learning, data analysis, computer vision, eye-tracking technology, pupil labs glasses, visual attention.

Degrees

Bachelor of Science in Computer Science
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Master of Science in Robotics with Industrial Application