CogWear — Cognitive Effort Detection with Consumer Wearables
Year: 2024
N: 22
Access: PhysioNet — free download, requires free account
Tier: 2
Overview
Three consumer wearables worn simultaneously (Empatica E4 + Apple Watch + Fitbit) during n-back cognitive load tasks with multiple difficulty levels. Directly addresses whether consumer-grade wearables can detect cognitive effort — highly relevant for deployable stress/effort models on the same class of devices used in production.
Signals
| Device | Signals |
|---|---|
| Empatica E4 | EDA, BVP, HR, ACC, TEMP |
| Apple Watch | HR, ACC |
| Fitbit | HR, ACC |
Relevance
Bridges the gap between research-grade (E4) and consumer-grade (Apple Watch, Fitbit) devices. If Meltdown Minder targets WHOOP or other consumer wearables, this dataset is essential for understanding signal degradation across device tiers. All three devices worn simultaneously on the same participants — direct cross-device comparison.
Linked To
- Dataset: WESAD
- Hardware: Empatica E4
- Physiology: meltdown-signature