Advanced Bio-Research
Empowering sports biomechanics teaching and laboratory research with markerless 3D motion capture, multi-modal data visualization, and research-grade data traceability.
Biomechanics Lab Data Collection
Leveraging 3D depth vision and biomechanical AI models, the system captures 32+ skeletal joint data points in real-time without markers or sensors during treadmill-based motion tests. It automatically generates landing pattern, pelvic angle, stride/cadence, and joint flexion/extension parameters with precise left/right limb values — replacing traditional manual measurement and expensive optical systems at significantly lower cost.
Multi-Modal Data Visualization Teaching
Provides table + curve + trajectory multi-modal data presentation including parameter tables, foot trajectory plots, and joint angle curves. Synchronized with test video for frame-level navigation, intuitively displaying joint angle dynamic changes and limb symmetry differences. Teachers can break down biomechanics principles using the charts while students learn abstract concepts through data-action linkage.
Research-Grade Data Traceability
Supports multi-group experimental data storage, export, and comparison to generate parameter difference reports across test subjects and motion patterns. Simultaneously outputs kinematics, dynamics, and multi-dimensional data to support injury mechanism research, gait intervention validation, and other academic needs.
Teaching Practicals & Skill Development
Built-in standardized experimental workflows and data interpretation templates enable students to independently complete the full "motion test → data collection → report analysis" workflow. The portable equipment adapts to classrooms and labs without requiring specialized technician support.
