Reach-to-Grasp Kinematic Recordings from Five Participants

Reach-to-Grasp data contains synchronized kinematic and object interaction recordings from five right-handed participants with a median age of 27 years. The dataset includes 192 grasping trials per participant, involving eight everyday objects and four spatial target locations. Data was collected by Jonas Schulz and last updated on 2026-05-28.

Use Cases

• Modeling hand movement phases based on kinematic data captured at 66.7 Hz.
• Analyzing grasp pose variation across different object types and spatial locations.
• Training computational models for intention inference from dynamic movement features.
• Studying the relationship between fingertip coordinates and object interaction states.

Strengths

• Contains 192 trials per participant, totaling 960 trials across five individuals.
• Data is synchronized, combining hand kinematics from a 75-sensor data glove with object state monitoring via Time-of-Flight sensors.
• Includes both raw and processed features, with preprocessing for standardized orientation and segmented movement phases.

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 cohort of five right-handed participants, which may limit generalizability.

Provenance

Source

Jonas Schulz via figshare

Collection Method

Experimental recordings using a Manus Quantum data glove and custom 3D-printed sensor boards.

Freshness

Last updated 2026-05-28 06:27:35; freshness should be verified.