Heart rate and sentiment experimental data with common timeline

Area of Science:

• Multidisciplinary research
• Human-computer interaction
• Affective computing

Background:

• Sentiment analysis and heart rate monitoring are established methods.
• These techniques have not been previously combined for data collection.
• Investigating the link between physical and emotional states is a key research area.

Purpose of the Study:

• To describe a procedure for parallel acquisition of heart rate sensor data and tweets.
• To present detailed datasets for future analysis.
• To lay the groundwork for studies on human physical and emotional activity.

Main Methods:

• Parallel acquisition of physiological (heart rate) and textual (tweet) data.
• Detailed description and discussion of the collected datasets.
• Focus on the methodology and data collection process.

Main Results:

• Successful parallel acquisition of heart rate and tweet data.
• Comprehensive datasets are now available.
• Challenges encountered during data acquisition are documented.

Conclusions:

• The presented experiment and datasets form a foundation for future research.
• Data can be used independently or combined for novel analyses.
• Future studies can compare objective sensor data with subjective sentiment data.