Hip-ROM-Y: An open IMU and motion capture dataset for hip joint range-of-motion analysis

Area of Science:

• Biomechanics
• Rehabilitation Science
• Wearable Technology

Background:

• Accurate hip joint motion data is crucial for diagnosing and rehabilitating hip disorders.
• Existing datasets often lack comprehensive angle coverage and synchronized kinematic and action labels.
• There is a need for a robust dataset to advance research in hip kinematics and related fields.

Purpose of the Study:

• To construct and release the Hip-ROM-Y dataset, a novel resource for hip range of motion (ROM) research.
• To provide high-quality, time-aligned joint angle and action labels across multiple anatomical planes.
• To establish a benchmark for evaluating joint kinematics, rehabilitation assessments, and wearable sensor development.

Main Methods:

• Collected data from 16 healthy male participants performing 6 distinct hip ROM actions across 3 anatomical planes.
• Utilized 8 wearable inertial measurement units (IMUs) to capture acceleration, angular velocity, and orientation data.
• Employed an optical motion capture system for precise lower-limb kinematic modeling and reference hip joint angle calculation, complemented by frame-by-frame action annotation.

Main Results:

• The Hip-ROM-Y dataset includes comprehensive hip joint angle and action labels for 16 participants.
• Systematic validation confirmed the dataset's extensive angle coverage and usability for cross-subject modeling.
• The data captures detailed hip kinematics across various movements and anatomical planes.

Conclusions:

• The open release of the Hip-ROM-Y dataset provides a valuable benchmark for hip joint kinematics research.
• This dataset will support advancements in the diagnosis and rehabilitation of hip disorders.
• Hip-ROM-Y facilitates the development and validation of wearable devices for motion analysis.