In the realm of competitive sports, especially in sprint events, every start, every stride, and even the slightest adjustment in posture can be a decisive factor for victory.
Traditional training relies on coaches’ experience and visual observation. While this has accumulated valuable practical wisdom, it cannot conceal the shortcomings of strong subjectivity and insufficient data support. How to break through this bottleneck and achieve precise, scientific training guidance has become an urgent issue for many sports teams.
Our [Human Motion Quantification Analysis Module], based on optical pose tracking technology within the TrackSight high-speed target tracking and analysis system, is specifically designed for sports training and injury rehabilitation scenarios. It assists coaches and athletes in making data-driven training decisions, comprehensively enhancing training efficiency and athletic performance.
Out Core Technologies
Multi-Camera Optical Tracking and Deep Human Pose Detection:
The system relies on multiple high-frame-rate, high-definition cameras arranged around the sports field to achieve full-view. Through computer vision and deep learning models, it identifies and quantifies the positions of athletes’ key joints (head, shoulders, elbows, knees, etc.) in real-time, accurately reconstructing the entire sequence of actions from start, acceleration, to sprint.
After multi-view stitching, a composite long image is generated to visually display the movement trajectory along the entire track. Combined with optical distortion correction and spatiotemporal transformation algorithms, the system precisely calculates the athlete’s instantaneous speed and acceleration, generating detailed speed curve graphs to help coaches deeply analyze movement rhythm and power distribution.
Joint Trajectory Mapping and Multi-Dimensional Data Visualization:
Based on multi-camera data fusion, trajectory point extraction, and coordinate transformation, the system can provide a top-down trajectory map of the athlete on the track. Advanced algorithms like Kalman filtering are used to smooth the trajectory, eliminate detection errors, and ensure a stable and observable movement path. Coupled with the dynamic presentation of multi-dimensional indicators such as cadence, stride length, and speed, training data becomes clear at a glance, helping coaches accurately identify technical bottlenecks and potential risks.
Our Solution Advantages:
Data-Driven Personalized Training Plans:
Through massive high-precision data collection, the system provides coaches with objective, quantitative assessments of athletic performance. It enables personalized adjustment of training intensity, precisely matching the athlete’s physical condition to maximize training effectiveness.
Refined Improvement of Movement Techniques:
Precise calculations reveal minor movement deviations. Supplemented by deep learning analysis, it helps athletes repeatedly optimize movement details and scientifically enhance their technical level.
Sports Injury Prevention and Rehabilitation Management:
Continuously monitoring movement trajectories and posture changes helps promptly identify poor movement habits, assisting coaches in developing targeted prevention plans to reduce injury risk. The system also supports rehabilitation period monitoring, ensuring safe and effective recovery training.
In an era where competitive sports are moving towards science and data, the TrackSight [Human Motion Quantification Analysis Module] uses innovative optical and AI technologies as its engine, assisting the transformation of sports training from experience-driven to data-driven. ICE CYPRESS firmly believes that precise data insights and intelligent analysis will help more athletes achieve peak performance.
