Lower-Limb EMG Signals from a Soccer Game Study with Keyboard and LegEMG Control

Surface electromyography recordings from the right lower leg of 15 healthy participants during a soccer game study. The dataset includes calibration data for five leg motions and online gameplay data under two input conditions, recorded at 2048 Hz. Files are provided in MATLAB .mat format with raw and filtered signals, shared under a CC BY 4.0 license.

Use Cases

• Train a motion classifier based on the five distinct leg motions (Neutral, Heel-up, Toe-up, Ankle-in, Ankle-out) described in the calibration data.
• Compare the performance of concurrent input methods using the online soccer-game data collected under Keyboard and Keyboard with LegEMG conditions.
• Analyze filtered sEMG signal characteristics from the 20–450 Hz bandpass and 58–62 Hz notch filter applied to the data.
• Develop real-time control interfaces for games or applications using lower-limb electromyography signals.

Strengths

• Contains data from 15 participants with a mean age of 25.9 ± 1.8 years.
• Signals were acquired at a high sampling rate of 2048 Hz from five electrodes on the lower leg.
• Includes both raw data and filtered (20–450 Hz bandpass + 58–62 Hz notch) versions of the signals.
• Structured into distinct calibration and online gameplay phases for controlled analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a specific study of 15 participants, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Recorded with a BioSemi ActiveTwo system during a study on game interaction.

Freshness

Last updated 2026-06-04 09:13:47; freshness should be verified.