String Quartet Body Motion and Pupillometry Data from Performance Experiments

Performance and listening data were collected from a string quartet in December 2019 at the University of Oslo's RITMO Centre. The dataset captures body motion and pupil dilation under varied rehearsal and concert conditions, including blind, score-directed, and live audience settings. It is associated with published research on musical performance, mental effort, and social context.

Use Cases

• Modeling the relationship between mental effort and performance conditions based on pupillometry data.
• Analyzing how social context and visual contact affect musicians' head motion and gaze.
• Training machine learning models to classify performance states from multimodal motion capture data.
• Studying the reliability of motion capture systems in a live music performance setting.

Strengths

• Data collection is documented in multiple peer-reviewed publications, suggesting methodological rigor.
• Includes data from both performers and listeners, enabling comparative analysis.
• Experiments were conducted under controlled conditions in a dedicated motion capture lab.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• The dataset focuses on a specific musical repertoire (Haydn and Debussy) performed by one quartet, which may limit generalizability.

Provenance

Source

University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion

Collection Method

Collected during controlled experiments using motion capture and pupillometry equipment.

Time Range

December 2019

Geography

Oslo, Norway