Robot Control: TD-NIRS and EEG Data for Motor Imagery Tasks

A neuroscience dataset containing TD-NIRS and EEG data collected using a Kernel Flow headset. Participants performed specific motor imagery tasks including clenching fists and tapping their tongue. The data is organized into 15-second chunks of time-series data.

Use Cases

• Classify motor imagery intent based on TD-NIRS and EEG signals.
• Train models for robot control using brain activity patterns.
• Analyze the temporal dynamics of brain signals during specific motor tasks.
• Benchmark signal processing algorithms for fNIRS and EEG data fusion.

Strengths

• Data collection protocol is clearly defined with five distinct motor tasks.
• Data is segmented into consistent 15-second time chunks.
• Uses a specific hardware platform (Kernel Flow headset) for data capture.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

KernelCo

Collection Method

Collected using a Kernel Flow headset from participants performing instructed tasks.

Freshness

Last updated 2026-02-08 06:22:52; freshness should be verified.