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Analyzing Multimodal Physiological Signals for Social Anxiety Detection
📅 Jan 2026 – June 2026
👤 Dr. Haroon Lone
🎓 Bachelor's Thesis
🏛️ IISER Bhopal
Bachelor's Thesis
Wearable Sensing
Affective Computing
Overview
Analyzing multimodal physiological signals (ECG, EDA) to study responses during social anxiety–inducing
tasks. Performing statistical testing and feature engineering to quantify group-level physiological
differences. Building predictive machine learning models to detect social anxiety–related biomarkers from
wearable sensor data.
Key Highlights
- Analyzing multimodal physiological signals (ECG, EDA) to study responses during social anxiety–inducing tasks
- Performing statistical testing and feature engineering to quantify group-level physiological differences
- Building predictive machine learning models to detect social anxiety–related biomarkers from wearable sensor data