Biomechanics Analysis of Combat Sport (Silat) By Using Motion Capture System

Kaharuddin, Muhammad Zulhilmi; Razak, Siti Badriah Khairu; Kushairi, Muhammad Ikram; Rahman, Mohamed Syawal Abd.; An, Wee Chang; Ngali, Mohd Zamani; Siswanto, Waluyo Adi; Salleh, Salihatun Md; Yusup, Eliza M.

doi:10.1088/1757-899x/165/1/012028

Cited by 6 publications

(8 citation statements)

References 2 publications

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“…This shows that it is essential to do work at an optimal working pace. The data for body velocity and acceleration can be used to compare the work pace of experienced and novice workers [19]. This method can be a benchmark to develop the optimal work pace.…”

Section: Velocity and Accelerationmentioning

confidence: 99%

“…Other than evaluating the work pace, data for velocity and acceleration from the motion capture can be used to improve the workstation layout [18]. Motion capture can map the movement of the subject with detail on the velocity and displacement [18,19,74]. This can help to reduce unnecessary action during walking, for example walking throughout the working station.…”

Section: Velocity and Accelerationmentioning

confidence: 99%

“…This can help to reduce unnecessary action during walking, for example walking throughout the working station. Other than for ergonomic risk assessment, this data can be used to compare the movement of experienced workers and novice workers, which can improve work performance [19]. This method can also verify the effect of environmental changes to the behavior of the subject in terms of their work performance and work [23].…”

Section: Velocity and Accelerationmentioning

confidence: 99%

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Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Yunus

Jaafar

Mohamed

et al. 2021

IJERPH

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Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data.

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Section: Velocity and Accelerationmentioning

confidence: 99%

Section: Velocity and Accelerationmentioning

confidence: 99%

Section: Velocity and Accelerationmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Yunus

Jaafar

Mohamed

et al. 2021

IJERPH

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“…Motion capture (mocap) approaches are sometimes used and can add sensors to computer vision for motion modeling, combining the interpretation of the video image with the interpretation of the signals (accelerometer, gyroscope, magnetometer, GPS). In any case, the pose estimation work is usually performed individually [67,68], while the martial artist performs the techniques by themselves.…”

Section: Related Workmentioning

confidence: 99%

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Echeverria

Santos

2021

Sensors

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Technological advances enable the design of systems that interact more closely with humans in a multitude of previously unsuspected fields. Martial arts are not outside the application of these techniques. From the point of view of the modeling of human movement in relation to the learning of complex motor skills, martial arts are of interest because they are articulated around a system of movements that are predefined, or at least, bounded, and governed by the laws of Physics. Their execution must be learned after continuous practice over time. Literature suggests that artificial intelligence algorithms, such as those used for computer vision, can model the movements performed. Thus, they can be compared with a good execution as well as analyze their temporal evolution during learning. We are exploring the application of this approach to model psychomotor performance in Karate combats (called kumites), which are characterized by the explosiveness of their movements. In addition, modeling psychomotor performance in a kumite requires the modeling of the joint interaction of two participants, while most current research efforts in human movement computing focus on the modeling of movements performed individually. Thus, in this work, we explore how to apply a pose estimation algorithm to extract the features of some predefined movements of Ippon Kihon kumite (a one-step conventional assault) and compare classification metrics with four data mining algorithms, obtaining high values with them.

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“…Berbeda dengan teknik selanjutnya yaitu teknik tangkisan. Berdasarkan beberapa review hasil penelitian: (Khoiroh, 2017), (Agam, Rahayu, & Rifai, 2016), (Amrullah, 2016), (Genurianto, 2016), (Kaharuddin et al, 2017), (Nusufi, 2017), (Anam & Hidayah, 2014), (Abdurahman, Simanjuntak, & Purnomo, 2014), (Marlianto, Yarmani, & Sutisyana, 2017). Menyatakan bahwa terdapat berbagai macam variasi latihan seperti latihan training xander, dan latihan plyometric depth jump modification.…”

Section: Pendahuluanunclassified

Pengembangan Alat Latihan Tangkapan Pencak Silat

Syamsiah

Purnomo

Gustian

2020

Jurnal Ilmu Keolahragaan

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Penelitian ini bertujuan mengembangkan alat latihan tangkapan pencak silat sebagai alat bantu latihan yang dapat digunakan oleh pelatih untuk melatih teknik tangkapan. Penelitian ini merupakan penelitian pengembangan yang dilakukan dengan dengan beberapa langkah, yakni: menelaah potensi dan masalah, pengumpulan data, pembuatan produk, validasi ahli, revisi produk, uji coba produk, revisi produk dan uji coba pemakaian. Validasi oleh ahli material, ahli praktisi, 15 responden sebagai uji coba tahap pertama uji produk dan 30 responden media alat bantu latihan tangkapan pencak silat. Hal ini dapat di lihat dari hasil sebagai uji coba tahap kedua uji pemakaian produk. Hasil penelitian menunjukkan bahwa “Alat Latihan Tangkapan Pencak Silat” dikategorikan Layak digunakan sebagai penilaian dari ahli material sebesar 94,28% dan ahli praktisi 80,91% serta uji coba produk skala kecil 86% dan uji coba pemakaian skala besar 96%. Dengan demikian kesimpulan bahwa Pengembangan Alat Latihan Tangkapan Pencak Silat telah dinyatakan layak digunakan sebagai alat bantu latihan

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Biomechanics Analysis of Combat Sport (Silat) By Using Motion Capture System

Cited by 6 publications

References 2 publications

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Pengembangan Alat Latihan Tangkapan Pencak Silat

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