Affect recognition in muscular response signals
- Citation Author(s):
-
Matthias Boeker
Petter JakobsenMichael Alexander RieglerLena Antonsen StabellOle Bernt FasmerPål HalvorsenHugo Lewi Hammer - Submitted by:
- Matthias Boeker
- Last updated:
- DOI:
- 10.21227/c3bb-6y08
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Abstract
10 soccer supporters gathered to watch a live broadcasted Premier League
match between Liverpool and Manchester United (4 - 0) on 19th of March 2022, all
equipped with wrist-worn accelerometers. All participants were aware of the purpose of this experiment and consented to participate
by attendance at the event, and by wearing the accelerometer. No personally sensitive
information was collected, all data is fully anonymised following the GDPR guidelines
and all procedures were in accordance with the recommendations of the data protection
agent at the Oslo Metropolitan University.
Instructions:
The data is accessable through csv files. Each .csv file contains the recorded and preprocessed motor activity of a participant of the experiment. The file names are according to the participant ID. GENEActiv - soccer match - LIV-MANU - 2022-04-19.csv contains the results from the survey. The participants are encoded according to their ID and the csv file names. The file game_report.csv contains the major events of the game, including the scored goals. The preprocessing of the motor activity was performed with Python. The according script can be found in the public Github repository: https://github.com/matthiasboeker/emotion_extraction
