RevalExo Dataset

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Provided by Catholic University of Leuven

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Dataset information

Country of origin
Updated
2026.01.28 08:15
Created
2026.01.28
Available languages
English
Keywords
Assistive Robotics, Wearable sensors, Locomotion Mode Recognition, Machine Learning, Egocentric Vision, IMU, Deep Learning, Multimodal Dataset
Quality scoring

Dataset description

This dataset contains multimodal sensor data for human locomotion intent recognition, collected from 27 participants performing various walking and mobility tasks. The 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 participants (4 stroke survivors, 10 sarcopenic older adults).
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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