We are looking for curious and motivated master’s students to join an exciting research project on the detection of human microexpressions for applications in humanoid robotics and human-robot interaction. This thesis combines computer vision, affective computing, and social robotics, contributing to the development of more perceptive and socially intelligent robotic systems.

Project Overview:

This master’s thesis focuses on the automatic detection and analysis of microexpressions in humans. Microexpressions are subtle and brief facial movements that can provide valuable information about human affective states and social signals. The project will explore methods for capturing, analyzing, and interpreting these facial cues using computational approaches.

Possible research directions include:

• Detection of subtle facial movements using video-based analysis
• Investigation of facial action units and temporal facial dynamics
• Comparison of classical computer vision and machine learning methods
• Exploration of implementation strategies for robust microexpression recognition

The thesis aims to provide a structured foundation for future applications in socially aware robots that can better perceive and respond to human emotional cues.

Key Responsibilities:

• Conduct a structured review of scientific literature on microexpression detection, facial expression analysis, and affective computing
• Investigate and compare methods for detecting subtle facial changes in video data
• Implement and evaluate selected approaches for microexpression recognition
• Analyze results and discuss their relevance for humanoid robotics and HRI

Who We’re Looking For:

• Strong interest in social robotics, affective computing, computer vision, or human-robot interaction
• Background in robotics, biomedical engineering, computer science, AI, or a related field
• Interest in scientific programming and algorithm development
• Independent, structured, and critical way of working
• Fluency in English

How to Apply:

If you are excited about socially intelligent robotics and would like to contribute to research on human facial behavior, we invite you to apply exclusively via email, including your CV and complete transcript of records (GPA min. 2.5).

Subject: S1_Microexpressions Detection

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