Biosensing Health Education Dataset

What’s Inside the Dataset?

Physiological Data

• Heart Rate Variability (HRV): Recorded in milliseconds, reflecting cardiac responses to stimuli.
• Skin Conductance Response (GSR): Measured in micro-Siemens to track emotional arousal levels.
• EEG Alpha Waves: Provided as amplitude or frequency, revealing cognitive activity during sessions.

Session Attributes

• Topics Covered: Focused on mental health, stress management, and healthy lifestyle education.
• Session Duration: Detailed in minutes for precise timing and analysis.

Engagement Levels (Target Variable)

• Engagement categories: Low (0), Medium (1), and High (2), designed for engagement prediction tasks.

Qualitative Feedback

• Textual student feedback for sentiment analysis and qualitative research.
• Applications of the Biosensing Health Education Dataset
• Predict engagement levels using biosensor data and session characteristics.
• Develop machine learning models for stress and cognitive activity analysis.
• Optimize health education strategies through data-driven decision-making.

Why Choose This Dataset?

This dataset bridges the gap between biosensor technology and health education. Whether you’re building predictive algorithms or conducting behavioral research, the Biosensing Health Education Dataset is your go-to resource for innovation.