RevalExo Dataset

Read full text
Authors: Diwas Lamsal, Juha Carlon, R Claeys, Maxim Yudayev, Louis Flynn, Tom Verstraten, David Beckwée, Eva Swinnen, Mihai Bâce, Bart Vanrumste, Benjamin Filtjens
Cited by: 0

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