ArticleScientific data2021
Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Effects of Core Training in Physical Fitness of Youth Karate Athletes: A Controlled Study Design.International journal of environmental research and public health · 2022Trial
- Multimodal data on bipedal locomotion during prolonged treadmill recordings at varying speeds.Scientific data · 2026Article
- Range of Motion and Muscle Activity During the Front Kick in Karate Kyokushin.Journal of clinical medicine · 2026Article
- Comprehensive human locomotion and electromyography dataset: Gait120.Scientific data · 2025Article
- Marker Data Enhancement for Markerless Motion Capture.IEEE transactions on bio-medical engineering · 2025Article
- Is Countermovement Jump Height and One Repetition Maximum Back Squat Associated With the Peak Force of a Front Kick With and Without Carried Load?Journal of strength and conditioning research · 2025Article
- Assessing the Reliability of a Combat Sports Kick-Time Device.Sensors (Basel, Switzerland) · 2025Article
- Marker Data Enhancement For Markerless Motion Capture.bioRxiv : the preprint server for biology · 2024Article
- Kinematic and Physiological Analysis of Medieval Combat Sport Using Motion Analysis, Blood Lactate Measurement, and Heart Rate Monitoring: A Case Study.Sensors (Basel, Switzerland) · 2024Article
- Accessibility of Motion Capture as a Tool for Sports Performance Enhancement for Beginner and Intermediate Cricket Players.Sensors (Basel, Switzerland) · 2024Review
- Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification.Sensors (Basel, Switzerland) · 2024Article
- A Systematic Review of Dynamic Forces and Kinematic Indicators of Front and Roundhouse Kicks across Varied Conditions and Participant Experience.Sports (Basel, Switzerland) · 2023Review
- Construction motion data library: an integrated motion dataset for on-site activity recognition.Scientific data · 2022Article
- Personality and Age of Male National Team of Ukraine in Kyokushin Karate-Pilot Study.International journal of environmental research and public health · 2022Article
- A database of physical therapy exercises with variability of execution collected by wearable sensors.Scientific data · 2022Article
- Gap Reconstruction in Optical Motion Capture Sequences Using Neural Networks.Sensors (Basel, Switzerland) · 2021Review
- Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes.Scientific data · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human motion capture is commonly used in various fields, including sport, to analyze, understand, and synthesize kinematic and kinetic data. Specialized computer vision and marker-based optical motion capture techniques constitute the gold-standard for accurate and robust human motion capture. The dataset presented consists of recordings of 37 Kyokushin karate athletes of different ages (children, young people, and adults) and skill levels (from 4th dan to 9th kyu) executing the following techniques: reverse lunge punch (Gyaku-Zuki), front kick (Mae-Geri), roundhouse kick (Mawashi-Geri), and spinning back kick (Ushiro-Mawashi-Geri). Each technique was performed approximately three times per recording (i.e., to create a single data file), and under three conditions where participants kicked or punched (i) in the air, (ii) a training shield, or (iii) an opponent. Each participant undertook a minimum of two trials per condition. The data presented was captured using a Vicon optical motion capture system with Plug-In Gait software. Three dimensional trajectories of 39 reflective markers were recorded. The resultant dataset contains a total of 1,411 recordings, with 3,229 single kicks and punches. The recordings are available in C3D file format. The dataset provides the opportunity for kinematic analysis of different combat sport techniques in attacking and defensive situations.
Indexed as
Identifiers
What OpenQuestion holds
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.