3 datasets found
  1. P

    eSports Sensors Dataset Dataset

    • paperswithcode.com
    Updated Feb 20, 2021
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    Anton Smerdov; Bo Zhou; Paul Lukowicz; Andrey Somov (2021). eSports Sensors Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/esports-sensors-dataset
    Explore at:
    Dataset updated
    Feb 20, 2021
    Authors
    Anton Smerdov; Bo Zhou; Paul Lukowicz; Andrey Somov
    Description

    The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor data collected includes:

    Hand/head/chair movements. Heart rate. Muscle activity. Gaze movement on the monitor. Galvanic skin response(GSR). Electroencephalography (EEG). Mouse and keyboard activity. Facial skin temperature. Environmental data.

    The data were collected for one team of 5 people simultaneously. In-game logs and meta information for each match are also provided for each match.

  2. 🕹️ eSports_Sensors_Dataset

    • kaggle.com
    zip
    Updated Jul 16, 2024
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    mexwell (2024). 🕹️ eSports_Sensors_Dataset [Dataset]. https://www.kaggle.com/datasets/mexwell/esports-sensors-dataset
    Explore at:
    zip(88066598 bytes)Available download formats
    Dataset updated
    Jul 16, 2024
    Authors
    mexwell
    Description

    A repository with sensor data collected from 10 players in 22 matches in League of Legends. The sensor data collected include:

    • Hand/head/chair movements.
    • Heart rate.
    • Muscle activity.
    • Gaze movement on the monitor.
    • Galvanic skin response(GSR).
    • Electroencephalography (EEG).
    • Mouse and keyboard activity.
    • Facial skin temperature.
    • Environmental data.

    The data were collected for one team of 5 people simultaneously. We also provide in-game logs and meta information for each match.

    Please find more details and analysis in the paper.

    @article{smerdov2020collection, title={Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset}, author={Smerdov, Anton and Zhou, Bo and Lukowicz, Paul and Somov, Andrey}, journal={arXiv preprint arXiv:2011.00958}, year={2020} }

    Acknowlegement

    Foto von Florian Olivo auf Unsplash

  3. O

    eSports Sensors Dataset

    • opendatalab.com
    zip
    Updated Mar 24, 2023
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    Skolkovo Institute of Science and Technology (2023). eSports Sensors Dataset [Dataset]. https://opendatalab.com/OpenDataLab/eSports_Sensors_Dataset
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    zip(237396091 bytes)Available download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    German Research Centre for Artificial Intelligence
    Skolkovo Institute of Science and Technology
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor data collected includes: Hand/head/chair movements. Heart rate. Muscle activity. Gaze movement on the monitor. Galvanic skin response(GSR). Electroencephalography (EEG). Mouse and keyboard activity. Facial skin temperature. Environmental data. The data were collected for one team of 5 people simultaneously. In-game logs and meta information for each match are also provided for each match.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Anton Smerdov; Bo Zhou; Paul Lukowicz; Andrey Somov (2021). eSports Sensors Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/esports-sensors-dataset

eSports Sensors Dataset Dataset

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 20, 2021
Authors
Anton Smerdov; Bo Zhou; Paul Lukowicz; Andrey Somov
Description

The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor data collected includes:

Hand/head/chair movements. Heart rate. Muscle activity. Gaze movement on the monitor. Galvanic skin response(GSR). Electroencephalography (EEG). Mouse and keyboard activity. Facial skin temperature. Environmental data.

The data were collected for one team of 5 people simultaneously. In-game logs and meta information for each match are also provided for each match.

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