Lower Limb Joint Angle Data from Resistance Exercise Trials

25 participants performed resistance exercises while the Bot Fit system recorded their lower-limb motion. The dataset contains raw time-series signals for left and right leg joint angles from each participant. Byungmun Kang published this data on figshare in March 2026.

Use Cases

• Analyze patterns in left and right leg joint angle time-series signals to study bilateral symmetry during resistance exercises.
• Train models to classify exercise types or phases based on the recorded lower-limb motion signals.
• Validate sensor fusion or motion capture algorithms using the raw joint angle data from the Bot Fit system.
• Investigate intra-participant variability by comparing time-series signals across multiple exercise protocols.

Strengths

• Data from 25 participants provides a moderate sample for biomechanical analysis.
• Contains raw time-series signals, allowing for custom preprocessing and feature extraction.
• Covers multiple resistance exercise protocols, enabling comparative studies.

Limitations

• The 1.6 MB size suggests the data may be heavily compressed or consist of summarized signals, limiting depth for some analyses.
• Without column names or sample data, the specific joint angles (e.g., knee, hip, ankle) and sampling rate are unknown.
• Geographic and demographic information for the 25 participants is not provided, which may limit generalizability.

Provenance

Source

figshare, author Byungmun Kang.

Collection Method

Recorded by the Bot Fit system during resistance exercise trials.

Freshness

Last updated March 2026.