Design of a marker-based human motion tracking system

Kolahi, Ali‐Asghar; Hoviattalab, Maryam; Rezaeian, Tahmineh; Alizadeh, M.; Bostan, M.; Mokhtarzadeh, Hossein

doi:10.1016/j.bspc.2007.02.001

Cited by 49 publications

(33 citation statements)

References 5 publications

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“…Inefficient designs, inherent ergonomic restriction with the use of long instruments, lack of tactile feedback and stereoscopic binocular vision, limited degrees of freedom (DOF) with straight instruments, and prolonged standing with elevated and unsupported arms all contributed to fatigue [1][2][3]. Ergonomic issues in minimally invasive surgery involve many aspects: posture [3], height of the operating table [4], monitor placement [5], muscle fatigue [1], instrument types [3], and handle designs [6, 7].Methods of motion measurement and analysis have progressed from the previous electromagnetic [8,9] to the present infra-red systems [10]. They are used to analyze sportsman performance and patient gait, particularly in…”

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confidence: 99%

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Comparison of two actuation systems for laparoscopic surgical manipulators using motion analysis

et al. 2010

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“…Methods of motion measurement and analysis have progressed from the previous electromagnetic [8,9] to the present infra-red systems [10]. They are used to analyze sportsman performance and patient gait, particularly in…”

mentioning

confidence: 99%

Comparison of two actuation systems for laparoscopic surgical manipulators using motion analysis

et al. 2010

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“…It is also important to mention that the tied axes coincide with the coordinate axes of the human body. In Figures 2, 3 Finally, in a third phase the use of accelerometers was implemented and the set designed and the position of the markers for videography was improved [9].…”

Section: A Low-cost Methodology For Biomechanical Analysis Of Martialmentioning

confidence: 99%

A Low-Cost Methodology for Biomechanical Analysis of Martial Arts Using Videography and Accelerometers

Vejar-Robles

Vega-Gonzalez

Duarte-Zamorano

2017

VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016

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“…Those factors are additional challenge to multimedia motion capture hardware and processing software that is often optimized to motion range that is available for a typical person. In order to capture karate techniques, one often uses high-end motion capture hardware or prepare dedicated hardware installations [38]. The expensive motion capture systems are capable to capture precision movement data that can be even used for example to estimate skill level.…”

Section: Recognition and Quality Evaluation Of Karate Techniquesmentioning

confidence: 99%

Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition

2015

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Abstract:In this paper we propose a novel algorithm that enables online actions segmentation and classification. The algorithm enables segmentation from an incoming motion capture (MoCap) data stream, sport (or karate) movement sequences that are later processed by classification algorithm. The segmentation is based on Gesture Description Language classifier that is trained with an unsupervised learning algorithm. The classification is performed by continuous density forward-only hidden Markov models (HMM) classifier. Our methodology was evaluated on a unique dataset consisting of MoCap recordings of six Oyama karate martial artists including multiple champion of Kumite Knockdown Oyama karate. The dataset consists of 10 classes of actions and included dynamic actions of stands, kicks and blocking techniques. Total number of samples was 1236. We have examined several HMM classifiers with various number of hidden states and also Gaussian mixture model (GMM) classifier to empirically find the best setup of the proposed method in our dataset. We have used leave-one-out cross validation. The recognition rate of our methodology differs between karate techniques and is in the range of 81% ± 15% even to 100%. Our method is not limited for this class of actions but can be easily adapted to any other MoCap-based actions. The description of our approach and its evaluation are the main contributions of this paper. The results presented in this paper are effects of pioneering research on online karate action classification.

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Design of a marker-based human motion tracking system

Cited by 49 publications

References 5 publications

Comparison of two actuation systems for laparoscopic surgical manipulators using motion analysis

Comparison of two actuation systems for laparoscopic surgical manipulators using motion analysis

A Low-Cost Methodology for Biomechanical Analysis of Martial Arts Using Videography and Accelerometers

Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition

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