Sensor

Biosignals · Eye tracking · Timing · Provenance

11 devices · 2 facial tools · 1 participant · 6 CSVs · 3 summary sessions. Raw: Session 1.

Data flow

flowchart LR
    A[CSVs] --> B[Schema/clock checks]
    B --> C[Gaze runs]
    B --> D[Plots]
    C --> D

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Data

CSV	Rows	Content
hr	4,032	HR samples
ibi	2,394	Intervals
sed	34,171	Gaze/pupil
sed_fix	34,171	Runs
eye_metrics	264	Summaries
Psychometric_Test_Results	88	Responses/timing

Dictionary · Schema · Notebook

Equipment

Pupil Labs Core	Tobii Pro Glasses 3	SMI eye tracking
Polar H10	Moofit HW401	Empatica E4
TEA T-SENS GSR	BIOPAC EDA	AXIS P1275
AXIS P1245	OptiTrack Slim X13	OpenFace
Noldus FaceReader

Channel mapping unverified. Corrections · Image credits

Setup

python -m pip install -e .
python -m scripts.derive --check

Wheels require --data-dir /path/to/data. Commands.

Stack	Tools
Runtime	Python ≥3.11, NumPy, pandas, Matplotlib
Verification	pytest, nbmake, Ruff, mypy

Limits

• 1 participant: no classifier or diagnostic/population validation.
• Clocks: sensors/eyes naive; questionnaire UTC. Alignment unverified.
• Measures: gaze heuristic, interval samples; summary derivation missing.

Sources and rights

7 reviews; corrections, consent/privacy, citation.

Code: MIT. Authored data/docs: CC BY 4.0. Instrument/media rights remain; instrument redistribution permission unestablished.

Multimodal-Multisensor · CalmSense