RevalExo Dataset
Abstract
This dataset contains multimodal sensor data for human locomotion mode recognition, collected from 27 participants performing various walking and mobility tasks. Data includes egocentric video captured using Pupil Core smart-glasses and inertial measurement unit (IMU) data captured using Xsens MVN Analyze. The dataset spans healthy and clinical populations: synchronized egocentric video and lower-body IMU recordings from 13 participants (7 healthy older adults, 6 stroke survivors), and lower-body IMU-only recordings from 14 additional participants (4 stroke survivors, 10 older adults with probable sarcopenia). https://revalexo.github.io/ If you use this dataset, please cite our paper (see Related Publication).
Fields of Study & Subjects
Context-Aware Activity Recognition Systems
Prosthetics and Rehabilitation Robotics
Stroke Rehabilitation and Recovery
Publication details
- Journal / source
- KU Leuven RDR
- Publication date
- 28 January 2026
- Document type
- Dataset