Skip to content

ScientISST MOVE — Naturalistic Activity Monitoring

Year: 2024
N: 17
Access: PhysioNet — free download, requires free account
Tier: 2

Overview

Recorded during naturalistic everyday activities (walking, running, lifting, gesticulating, greetings) rather than lab-controlled stressors. Includes dual-device recordings (Empatica E4 + ScientISST) for signal quality comparison. Excellent for training models robust to motion artifacts in real-world wearable deployments.

Signals

Modality Device Signals
Wrist Empatica E4 EDA, BVP, ACC, TEMP
Chest ScientISST ECG (gel + dry electrodes), EDA (gel + dry), PPG, EMG, ACC

Relevance

Critical for robustness testing. Models trained on lab datasets (WESAD, TILES) often fail on free-living data — this dataset bridges that gap. Dual-device recordings enable signal quality comparison across sensor types.

Linked To