Kinematic Analysis System for Movement Feedback
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Solution Overview
Problem
Individuals engaging in sports or movement-related activities often face inadequate personal coaching due to trainers managing multiple clients simultaneously, leading to missed details in analyzing complex and fast movements.
Innovation Solution
A system comprising a processor connected to a camera that determines skeletal locations and kinematic measurements of individuals performing movements, compares these with ideal movements based on personal characteristics, and provides real-time analysis and feedback through a display, allowing for improved training without constant trainer supervision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single trainer coaches multiple persons simultaneously, then the trainer can manage more clients, but the quality of personal coaching and analysis of movements deteriorates
Solution Approach 1:
The system creates a digital copy of the trainer's analytical capabilities through computer vision technology. The processor captures images of the person's movements and generates skeletal locations and kinematic measurements, effectively copying the trainer's function of analyzing movement patterns without requiring the trainer's direct presence for each analysis.
Solution Approach 2:
The patent replaces the mechanical system of human trainer observation and analysis with an automated computer vision system. The processor uses image processing algorithms to detect skeletal locations, calculate kinematic measurements, and compare them against ideal movements, substituting human cognitive and physical processes with computational methods.
2Measurement precision
If a trainer manually analyzes movements, then detailed correction can be provided, but the process is time-consuming and cannot keep up with fast movements
Solution Approach 1:
The system enables continuous analysis of movements by automatically processing images as they are captured. The processor continuously determines skeletal locations and kinematic measurements without interruption, providing uninterrupted feedback compared to discrete manual analysis intervals. This allows the system to maintain analysis during fast, continuous movements.
Solution Approach 2:
The patent replaces the slow manual process of observation and analysis with automated computer vision processing. The system rapidly processes images to extract skeletal locations and calculate kinematic measurements, achieving processing speeds that can keep up with fast human movements, something impossible for manual analysis.
3Reliability
If real-time feedback is provided, then training effectiveness improves, but the complexity of the coaching system increases
Solution Approach 1:
The system achieves multiple functions within a single integrated platform: capturing images, determining skeletal locations, calculating kinematic measurements, comparing with ideal movements, and providing feedback. This multi-functionality reduces the need for separate devices for each task, managing complexity through integration rather than proliferation of components.
Solution Approach 2:
The system provides self-service capabilities by automatically performing analysis and generating feedback without requiring constant trainer intervention. The processor independently determines skeletal locations, calculates measurements, and compares performance, enabling the system to serve itself in the analysis function while the trainer focuses on instruction.
Data Source
AI summary
A system and method for analyzing one or more movements of moveable entities (i.e., persons or animals) is disclosed. The system includes a processor that is in communication with a camera. The processor is configured to determine one or more skeletal locations of the one or more moveable entities performing a movement based on a plurality of images captured by the camera. The processor is further configured to determine one or more kinematic measurements of the one or more skeletal locations of the one or more moveable entities. The processor is further configured to compare the one or more kinematic measurements of the one or more moveable entities with an ideal kinematic movement for the one or more moveable entities. In addition, the processor is configured to provide an analysis based on the comparison.