Smart Ring Data for AAC Intervention with Audio and IMU Synchronization

Synchronized audio and inertial measurement unit data from simulated augmentative and alternative communication sessions. The dataset contains AAC audio events, human speech, tap gestures, non-tap gestures, and attribution labels, created by author Chen, Szu-Han Kay. It was last updated on June 3, 2026.

Use Cases

• Train models for AAC audio event recognition based on the described audio data.
• Develop screen tap detection algorithms based on the inertial measurement unit data from smart rings.
• Build user attribution models to distinguish between an AAC user and communication partners using the provided labels.
• Research multimodal data fusion techniques for analyzing combined audio and gesture streams.

Strengths

• Contains synchronized audio and inertial measurement unit data, enabling multimodal analysis.
• Includes specific labels for AAC audio events, human speech, tap gestures, and non-tap gestures.
• Data is collected from a structured scenario involving one AAC user and two communication partners.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is based on simulated sessions, which may not fully reflect real-world conditions.

Provenance

Source

Chen, Szu-Han Kay, Aim 1_wearable ring

Collection Method

Collected from simulated AAC intervention sessions using smart rings worn by communication partners.

Freshness

Last updated 2026-06-03 18:40:24; freshness should be verified.