POF-Based Sensing for Upper-Limb Exoskeleton Control During Load Tasks

Luis J Arciniegas-Mayag's dataset contains experimental data for evaluating wearable sensing in an upper-limb exoskeleton. It includes kinematic, electromyographic, and control-related data from human-subject experiments under assisted and unassisted conditions, as well as test-bench evaluations comparing POF and IMU sensing. The 95.8 MB dataset, last updated in May 2026, supports analyses of robotic assistance and human-robot interaction in industrial environments.

Use Cases

• Comparing polymer optical fiber (POF) and inertial measurement unit (IMU) sensing performance based on test-bench evaluation data.
• Developing impedance-based control models for exoskeletons based on kinematic and control-related data from lifting, carrying, and lowering tasks.
• Analyzing human muscle activity during robotic assistance based on electromyographic (EMG) data from assisted and unassisted conditions.
• Studying human-robot interaction dynamics in industrial settings based on experimental data from human-subject trials.

Strengths

• Data includes multiple sensing modalities: kinematic, electromyographic (EMG), and control-related data.
• Contains comparative evaluations between polymer optical fiber (POF)-based and inertial measurement unit (IMU)-based sensing.
• Data was acquired during human-subject experiments under both assisted and unassisted conditions, providing a basis for comparison.
• The dataset is 95.8 MB in size, suggesting a substantial collection of experimental records.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The description does not specify the number of human subjects or test repetitions, limiting reproducibility assessment.

Provenance

Source

Luis J Arciniegas-Mayag via figshare

Collection Method

Experimental data acquired during human-subject experiments and test-bench evaluations.

Freshness

Last updated 2026-05-06 19:32:46; freshness should be verified.