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Comprehensive human locomotion and electromyography dataset: Gait120.

Junyo Boo1, Dongwook Seo1, Minseung Kim1

  • 1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.

Scientific Data
|June 18, 2025
PubMed
Summary
This summary is machine-generated.

This study collected extensive human locomotion data from 120 males across seven daily activities. The dataset captures full-body movement and muscle activation, aiding biomechanics research.

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Kinetics and Kinematics

Background:

  • Understanding human locomotion is crucial due to the musculoskeletal system's complexity.
  • Variations in gait and movement patterns across diverse populations and tasks remain incompletely understood.

Purpose of the Study:

  • To present a comprehensive dataset of human locomotion during common daily activities.
  • To provide detailed kinematic and muscle activity data for a broad adult male population.

Main Methods:

  • Collected data from 120 healthy male participants (20-59 years).
  • Utilized optical motion capture, force plates, and surface electromyography (sEMG).
  • Recorded seven distinct tasks: level walking, stair negotiation, slope ambulation, and sit-to-stand/stand-to-sit transitions.

Main Results:

  • Compiled a dataset of 6,882 movement cycles.
  • Included full-body joint kinematics and lower limb muscle activation patterns.
  • Covered a wide range of common daily activities.

Conclusions:

  • The dataset offers valuable insights into variations in human movement and muscle activation.
  • Facilitates research on biomechanics, motor control, and age-related changes in locomotion.
  • Supports the development of more accurate human movement models.