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2018
DOI: 10.1007/s11042-018-6624-y
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A systematic survey of martial art using motion capture technologies: the importance of extrinsic feedback

Abstract: The number of research papers on Motion Capture technologies published in conferences and journals has been rapidly increasing due to the emerging of new technologies, software and hardware which create new challenges and opportunities for Martial Arts research. Current trend of the Martial Arts using Motion Capture technologies (MAMoCap) researches consists of phases of MoCap-Processing and Post-MoCap-Processing; contexts of algorithms, performance and system development; and feedbacks of intrinsic and extrin… Show more

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Cited by 12 publications
(10 citation statements)
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References 46 publications
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“…This is in line with our objectives to develop a system for computer aided training and analysis. Research presented in [ 23 , 24 ] highlights the use of motion capture systems to analyze 3D human pose and its benefits in augmenting martial arts training. Extensively, vision based sensing systems have been used in other areas of sporting such as measuring kinematic properties of weightlifters and identifying fine differences in their snatch techniques [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…This is in line with our objectives to develop a system for computer aided training and analysis. Research presented in [ 23 , 24 ] highlights the use of motion capture systems to analyze 3D human pose and its benefits in augmenting martial arts training. Extensively, vision based sensing systems have been used in other areas of sporting such as measuring kinematic properties of weightlifters and identifying fine differences in their snatch techniques [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the research cited above, the importance of human motion analysis in combat sports is evident, with both kinematic and kinetic analysis required 19 . Kinematic analysis is necessary to identify the ranges of motion and speeds required when executing different phases of the movement patterns.…”
Section: Background and Summarymentioning
confidence: 99%
“…Several studies discuss the possibilities of multi-modal motion recognition [5], [9], [10], focusing on the fusion of skeleton data with inertial sensor data [11], [12] or RGB and depth modalities [6]. Other works map the action recognition methods in specific application domains, e.g., gait recognition [11], martial arts [13], rehabilitation [14], or sports [15]. All these surveys focus on the processing of short pre-segmented motions, leaving aside the inherent continuous character of skeleton-data recordings.…”
Section: Related Surveysmentioning
confidence: 99%
“…All these surveys focus on the processing of short pre-segmented motions, leaving aside the inherent continuous character of skeleton-data recordings. Several studies also cover skeleton-data acquisition approaches [5], [8], [10], [12], [13] or summarize publiclyavailable datasets [6]- [10].…”
Section: Related Surveysmentioning
confidence: 99%
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