HiSync: Multimodal Human Pose Data with Camera and IMU Sensors

HiSync is a multimodal dataset organized by collection batch ID, containing camera views and IMU sensor data. The data is published by author Octopus1 on the Hugging Face platform. Its last recorded update was on April 4, 2026.

Use Cases

• Train human pose estimation models based on the multiple camera views (cam_1, cam_2, cam_3) and keypoint annotations (person_keypoints.json).
• Develop sensor fusion algorithms based on synchronized data from multiple IMU sensors (IMU_Palm, IMU_Ring, IMU_Wrist).
• Benchmark temporal action recognition models based on the sequential, timestamped data structure suggested by the directory naming convention.
• Study human motion dynamics based on the combination of visual keypoints and inertial measurement unit (IMU) data streams.

Strengths

• Data is organized into distinct collection batches, suggesting a structured and versioned release process.
• The directory structure indicates synchronized data from at least three camera angles and three IMU sensor locations (Palm, Ring, Wrist).
• Includes JSON metadata files (meta.json) which likely provide context for each data sample.

Limitations

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

Provenance

Source

huggingface

Freshness

Last updated 2026-04-04 10:50:41; freshness should be verified.