Cekak Visual 3D is a research-driven motion analysis platform developed to support martial arts performance analysis using markerless motion capture technology.
Designed for real training environments, the platform enables objective evaluation of movement techniques through 3D motion data without the need for markers, wearable sensors, or complex laboratory setups.
Developed by HESRC teams, in collaboration with academic and practitioner partners, Cekak Visual 3D bridges biomechanics research with practical coaching and training needs.
The Challenge in Martial Arts Performance Analysis
Martial arts training traditionally relies on visual observation and subjective feedback. While effective, this approach can make it difficult to:
- Objectively assess movement quality and consistency
- Compare techniques across sessions or practitioners
- Capture subtle biomechanical differences
- Conduct performance analysis outside controlled laboratory environments
Conventional motion capture systems are often expensive, intrusive, and impractical for everyday martial arts training.
Our Approach
What the Platform Does
Cekak Visual 3D enables users to:
- Capture 3D motion data during martial arts practice
- Analyze movement techniques objectively
- Assess movement consistency and efficiency
- Compare performance across sessions
- Support research, coaching feedback, and training evaluation
The system is designed to complement, not replace traditional coaching expertise with quantitative insights.
Who It Is For
Cekak Visual 3D is designed for:
- Martial arts coaches and trainers
- Martial arts practitioners and athletes
- Researchers in biomechanics and movement science
- Educational institutions and training centers
- Performance analysis and coaching programs
Research-Driven Development
Cekak Visual 3D is developed with a strong research foundation in biomechanics, motion analysis, and applied movement science. The platform is continuously refined through:
- Academic research projects
- Collaborative studies with universities
- Pilot implementations in training environments
- Feedback from practitioners and coaches
This ensures that development remains evidence-based, practical, and application-oriented.
Current Status
Cekak Visual 3D is an early-stage validated platform, currently used in research studies, pilot implementations, and collaborative projects. Development focuses on iterative improvement, validation, and expansion of use cases within martial arts performance analysis.
Research Foundation
Cekak Visual 3D is built on applied research in biomechanics and motion analysis, ensuring that development is grounded in scientific principles and real-world validation
List of References
Mustapha, G.(2018).Biomechanical Characterization of Seni Silat Cekak Using a Novel 3D Motion Capture-Analysis System [Doctoral thesis, Universiti Tekonogi Mara].
Mustapha, G., Razak, M. F. A., Hamzah, M. S. M., Yahya, N. H. M. & Mahmud, J. (2016). The development of a low cost motion analysis system: Cekak Visual 3D v1.0, International Journal of GEOMATE, 11(24), 2248-2252.
Mustapha, G., Mahmud, J., & Wan Sulaiman, W. R. (2025). Kinematics characterisation of deflection technique in Seni Silat Cekak using motion capture analysis . Jurnal Mekanikal, 48(1). https://doi.org/10.11113/jm.v48.575
Achmatsufyan A., Ibrahym A., & Mohd Saiful Aizat M. S. (2024). Kalibrasi perisian CV3D v2.0 dan pengukuran halaju dan masa perlaksanaan Kaedah A, kertas kajian yang telah dibentangkan dalam Kolokium Seni Silat Cekak Malaysia, Universiti Sains Malaysia Kampus Kejuruteraan, Pulau Pinang.
Recognition & Achievements
The platform and related projects have been recognized through awards and innovation showcases, highlighting their potential and impact.
- Gold Category [2019] Persidangan Kebangsaan Kokurikulum Universiti (NUCC)
- Gold Medal [2018] The 3rd International Invention Innovation Competition in Canada (iCAN)
- Gold Prize [2016] International Engineering Invention and Innovation Exhibition (i-ENVEX)
- Silver Medal [2015] Penang Invention, Innovation, and Design (PIID)
Project ideas and collaboration opportunities are welcome!
We welcome collaboration with coaches, trainers, researchers, and organizations interested in applied motion analysis and data-informed training.
