Scholarlink

<p>Understanding human locomotion patterns and their variations requires comprehensive data across different age groups and movement tasks, given the complexity of the human musculoskeletal system. This study presents a dataset of human locomotion during daily activities, collected from 120 healthy male participants (age range: 20–59 years). The experimental protocol included seven distinct tasks: level walking, stair ascent/descent, slope walking (ascent/descent), and sit-to-stand/stand-to-sit movements. Data were collected using an optical motion capture system, force plates, and surface electromyography sensors on the right lower limb. The final dataset includes 6,882 movement cycles across all tasks, including full-body joint kinematics and muscle activity patterns. This comprehensive dataset will contribute to understanding the variations in movement patterns and muscle activation during common daily activities across a broad adult male population.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Comprehensive human locomotion and electromyography dataset: Gait120

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月18日

查看全文
  • Junyo Boo,
  • Dongwook Seo,
  • Minseung Kim,
  • Seungbum Koo

摘要

Understanding human locomotion patterns and their variations requires comprehensive data across different age groups and movement tasks, given the complexity of the human musculoskeletal system. This study presents a dataset of human locomotion during daily activities, collected from 120 healthy male participants (age range: 20–59 years). The experimental protocol included seven distinct tasks: level walking, stair ascent/descent, slope walking (ascent/descent), and sit-to-stand/stand-to-sit movements. Data were collected using an optical motion capture system, force plates, and surface electromyography sensors on the right lower limb. The final dataset includes 6,882 movement cycles across all tasks, including full-body joint kinematics and muscle activity patterns. This comprehensive dataset will contribute to understanding the variations in movement patterns and muscle activation during common daily activities across a broad adult male population.