Smartwatch Sensor Data For Eye-Rubbing Detection

A dataset collected for developing machine learning models to detect eye-rubbing using a smartwatch, as described in a September 2024 paper published in Translational Vision Science & Technology (TVST). The dataset was created by author TemryL, though specific details on its size and structure are not provided in the input.

Use Cases

• Train a Transformer model on smartwatch sensor data to classify eye-rubbing gestures.
• Develop a feasibility study for wearable-based detection of hand-face interactions.
• Build a machine learning classifier using inertial measurement unit (IMU) signals from a smartwatch.

Strengths

• Dataset is associated with a peer-reviewed paper published in Translational Vision Science & Technology (TVST) in September 2024.
• The underlying research demonstrated high accuracy for the detection task using machine learning methods.

Limitations

• The dataset description is incomplete; critical details like row count, column names, and file formats are unknown.
• The dataset's provenance, including collection methodology, time range, and participant demographics, is unspecified.

Provenance

Source

Author TemryL on Hugging Face.

Collection Method

Collected using a smartwatch for the purpose of detecting eye-rubbing, as per the associated paper.

Freshness

The dataset was last updated on the platform on October 2, 2025.