Biofeedback is a self-regulation technique that provides individuals with real-time information about their physiological processes, enabling them to consciously influence functions such as heart rate, breathing, or brain activity. Earables offer a unique opportunity to deliver auditory biofeedback. The in-ear microphones offer a pathway to sense and deliver various biofeedback cues. In this thesis, you will evaluate the effectiveness of auditory biofeedback with OpenEarables 2.0.

Literature Review
- Summarize key studies on auditory and haptic biofeedback for relaxation.
- Identify common auditory biofeedback cues.
- Outline established methods to evaluate relaxation (e.g., HRV, EEG alpha waves)

Study Design
- Design an experiment comparing auditory biofeedback cues for relaxation efficacy.
- Extend to compare auditory vs. haptic biofeedback on relaxation (physiological/subjective measures) and cognitive performance.

Data Analysis
- Evaluate the best cue for auditory biofeedback.
- Evaluate auditory vs. haptic biofeedback on relaxation and cognitive performance.

• Background knowledge in signal processing and biomedical sensing would be great
• Desire/ability to design and conduct empirical user studies, including data collection and annotation
• Proficiency with Python for signal analysis and model development
• Familiarity with Statistical Tests
• Capability to document results clearly and interpret findings in the context of human-computer interaction and physiological sensing.

• A paragraph explaining your motivation.
• Your study program (Bachelor/Master), current semester, and field of study.
• A transcript of records (courses and grades).
• Your programming experience.
• Any areas of interest relevant to the topic.
• Your CV (if available)