GeoFatigue: Outdoor Manual Task Fatigue Data Across Elevation Transitions
by Mohammadi Jahromi, Mahnoush / Borealis Harvested Dataverse·Updated 1mo ago
Available on 1 platform
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Description
40 participants performed a standardized outdoor manual material handling task across three elevation-transition typologies: a flat trail, a stairway, and a ramp. The dataset includes wrist-worn physiological signals, GPS trajectories, fatigue ratings, and geospatial representations like a 3D point cloud. It was authored by Mohammadi Jahromi, Mahnoush and last updated on 2026-04 25.
Use Cases
Modeling physical fatigue development based on integrated physiological and GPS trajectory data.
Analyzing the impact of elevation transitions on worker performance based on data from flat, stairway, and ramp environments.
Fusing multimodal sensor data for context-aware machine learning analysis in outdoor positioning constraints.
Advancing spatial ergonomics research using geospatial representations like semantic GeoJSON polygons and 3D point clouds.
Strengths
Data from 40 participants provides a basis for analysis.
Includes multiple data modalities: physiological signals, GPS, fatigue ratings, and high-resolution 3D geospatial data.
Task was performed across three distinct elevation-transition typologies with load and duration held constant.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Borealis Harvested Dataverse
Collection Method
Collected from 40 participants performing a standardized outdoors manual material handling task with wearable sensors and geospatial mapping.
Time Range
null
Freshness
Last updated 2026-04-25 04:13:34; freshness should be verified.
Geography
null
License is unknown; terms of use must be verified before application.