A Wearable Exam Stress Dataset for Predicting Cognitive Performance in Real-World Settings

health life sciences medicine

Description

Preliminary datasets containing skin conductance recordings where experiments involve artificial stimuli are available online. However, recordings of a longer duration acquired during real-world cognitive stressors are lacking significantly. This dataset seeks to bridge the gap between a body of knowledge concerning the human stress response primarily built up on laboratory acquired data, and how people’s skin conductance fluctuates in reality when they undergo a stressful exam experience. The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter beat interval and accelerometer data recorded during three exam sessions (midterm 1, midterm 2 and finals) as well as their corresponding grades. The purpose of this dataset is to gauge the influence of stress on exam performance.

Update Frequency

Not updated

License

Open Data Commons Attribution License v1.0

Documentation

https://doi.org/10.13026/kvkb-aj90

Managed By

PhysioNet

See all datasets managed by PhysioNet.

Contact

https://physionet.org/about/#contact_us

How to Cite

A Wearable Exam Stress Dataset for Predicting Cognitive Performance in Real-World Settings was accessed on DATE from https://registry.opendata.aws/wearable-exam-stress.

Resources on AWS

  • Description
    https://doi.org/10.13026/kvkb-aj90
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/wearable-exam-stress/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/wearable-exam-stress/

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