ArticleScientific data2025
Comprehensive human locomotion and electromyography dataset: Gait120.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Effects of NMES Combined with Resistance Training Using Underwater Surface EMG Sensors on Neuromuscular Activation of Breaststroke Technique in Breaststroke Athletes: Analysis of Non-Negative Matrix Muscle Synergy.Sensors (Basel, Switzerland) · 2026Trial
- Real-Time Wearable sEMG Onset Detection and Phase Discrimination of Sit-to-Stand Movement via a Compact Dual-Channel DD-CNN.Sensors (Basel, Switzerland) · 2026Article
- Multimodal data on bipedal locomotion during prolonged treadmill recordings at varying speeds.Scientific data · 2026Article
- 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science.Scientific data · 2026Article
- A systematic review and meta-analysis of sagittal cervical spine parameters: Normative values, correlation with quality of life, and biomechanical modeling.North American Spine Society journal · 2026Review
- Comprehensive human locomotion and electromyography dataset: Gait120.Scientific data · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.