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https://github.com/benedikt-holland/crowd-mood-analysis

Using air quality and infrared sensor data collected from parties to engineer a measure that quantifies crowd mood
https://github.com/benedikt-holland/crowd-mood-analysis

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Using air quality and infrared sensor data collected from parties to engineer a measure that quantifies crowd mood

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README

        

# Crowd mood anaysis at parties
In this thesis sensor data collected from parties is used to engineer a measure that quantifies
crowd mood. An infrared camera combined with supervised learning is used to determine
the crowd size. Air properties like temperature, humidity and the concentration of various
chemicals are used to determine the physical activity of the crowd and infer its general
mood based on that. Biases that affect the data like the ventilation system, fog machine
and cigarette smoke have to be addressed.

In collaboration with Baden-Wuerttemberg Cooperative State University Heidenheim
Feedback is appreciated: [email protected]

# Project structure
## Research_Report.pdf
Full research report
## Research_Proposal.pdf
Research proposal as issued prior to the project
## project_plan.png
Project plan as issued prior to the project
## crowd_mood_analysis.ipynb
Jupyter notebook with the crowd mood analysis, provided as a complement to the main report
## data_collection.py
Python script for data collection used on the Raspberry Pi
## playing-now.ps1
Powershell script to record the songs played by the local computer
## /analysis
Additional Python scripts used in the analysis
## /data_collection
Additional Python scripts used for data sampling on the Raspberry Pi