Walker posture E4

Empatica E4 + MoCap + smart rollator (Zenodo 22734705)

PPGIMUTempEDAWrist-wornDOI

Key facts

Signals
ppg, accel, skin-temp, eda
Reference Labels
activity, sqi
Devices
empatica-e4
Sampling Rates
E4 BVP/ACC/GSR/TEMP per Empatica defaults (rates in per-trial CSVs); MoCap Optitrack; rollator odometry/loads — UNKNOWN unified Hz without local parse
License
CC BY 4.0 (Zenodo API)

Summary

“Evaluating the validity of walker sensors for posture monitoring” (Fernández-Carmona / Urdiales / Gómez-de-Gabriel; Universidad de Málaga / TaISLab). ROS2 bags converted to per-trial CSV zips (202404test.zip, 202406test.zip). Code: https://github.com/TaISLab/WalKit.

Updated: Sep 29, 2026