Skier Motion-Sensor Feedback With Synchronized Video Analysis
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Solution Overview
Problem
Existing physical activity feedback systems rely heavily on subjective human instruction, which is costly, resource-intensive, and lacks real-time objectivity, particularly for activities like skiing where immediate feedback is challenging.
Innovation Solution
A system incorporating motion, pressure, and position sensors embedded in user equipment or footwear to collect, process, and display data, providing real-time feedback through headphones or near-eye displays, and long-term analysis on mobile devices, using machine-generated feedback tailored to specific activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coaches or instructors provide feedback for improving physical activity performance, then performance improvement is achieved, but the system becomes costly and resource-intensive
Solution Approach 1:
The system enables self-service by embedding sensors in footwear that automatically collect and process performance data without requiring external coaches or instructors. The processor analyzes gait parameters, pressure distribution, and motion patterns autonomously, providing feedback that would traditionally require human expertise.
Solution Approach 2:
The patent replaces the mechanical system of human coaches providing verbal feedback with an automated electronic system. Sensors capture physical data, processors analyze it using algorithms, and feedback is delivered through digital interfaces, substituting human judgment with machine-based objective measurement.
2Loss of time
If video recording is used to analyze lifting performance, then performance critique is obtained, but real-time feedback is not available
Solution Approach 1:
The system maintains continuous operation by continuously collecting sensor data during physical activity and processing it in real-time. The sensors operate throughout the exercise session, and the processor continuously analyzes the stream of data, ensuring uninterrupted feedback without the delays inherent in post-recording analysis.
Solution Approach 2:
The patent implements immediate feedback loops where sensor data is processed and feedback is provided during the activity itself. This allows users to adjust their technique in real-time based on objective measurements of gait, pressure, and motion, rather than receiving delayed feedback after video review.
3Measurement precision
If coaches provide subjective performance critique, then performance improvement is achieved, but objective quantitative data is lacking
Solution Approach 1:
The system replaces subjective human judgment with objective sensor-based measurement. Pressure sensors, motion detectors, and other sensors provide quantitative data about gait mechanics, force distribution, and movement patterns, eliminating the subjectivity inherent in coach observations and video analysis.
Solution Approach 2:
The patent introduces sensors and processors as intermediaries between the user's physical actions and the feedback provided. These intermediaries objectively measure and quantify performance parameters, serving as an impartial mediator that translates physical movements into actionable data without human bias.
Data Source
AI summary
A method for providing feedback to a skier, comprising: receiving, by a feedback computer, sensor data from a plurality of sensors associated with the skier, the sensor data representing a movement of the skier during a ski run; receiving, by the feedback computer, video data representing a video recording of the skier during the ski run; after the ski run, synchronizing, by the feedback computer, the sensor data and the video data; and simultaneously displaying, on a display screen in electrical communication with the feedback computer, the video recording and the sensor data.