GaitIntent: Kinematic Data for Steady-State to Transitional Locomotion

A kinematic dataset focusing on steady-state to transitional locomotion for lower-limb motion rehabilitation, created by Baoqian Wang. The dataset is 1.4 GB in size and was last updated on April 11, 2026. It is available under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Training models for gait phase classification based on kinematic locomotion data.
• Developing predictive algorithms for transitional locomotion states mentioned in the description.
• Benchmarking lower-limb motion rehabilitation systems using steady-state kinematic patterns.
• Analyzing movement dynamics for assistive device control based on the dataset's focus.

Strengths

• Dataset size is 1.4 GB, indicating a medium-scale collection.
• Explicitly focuses on the specific domain of steady-state to transitional locomotion.
• Published under a permissive CC-BY-4.0 license, facilitating reuse.

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

figshare

Collection Method

Likely collected via motion capture systems for kinematic analysis, as inferred from the description.

Time Range

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Freshness

Last updated 2026-04-11 12:23:57; freshness should be verified.

Geography

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