Video-Sensor Correlation for Athletic Form Analysis
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Solution Overview
Problem
Current methods for analyzing athletic form in video recordings require manual identification of good or bad form segments by coaches or athletes, which is time-consuming and inefficient.
Innovation Solution
A system that correlates video recordings with biometric and biomechanical sensor data using wearable sensors, allowing for automatic identification and highlighting of representative cases of good or bad form by timestamping both data types, enabling immediate feedback and improved performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of entire video recording is used to identify good or bad form segments, then identification accuracy is maintained, but time consumption increases significantly
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computer-based system that uses sensor data correlation and algorithmic analysis to identify good and bad form segments, eliminating the need for human coaches to manually watch and evaluate entire video recordings while maintaining identification accuracy
Solution Approach 2:
The system enables self-service by allowing the computer to automatically perform the form analysis task that previously required human intervention, with the automated system independently correlating sensor data with video segments and generating feedback without requiring manual review of the entire recording
2Extent of automation
If sensor data correlation with video recordings is implemented, then automated identification of form segments is enabled, but system complexity increases
Solution Approach 1:
The patent applies universality by using a multi-functional system where the same processing device performs multiple tasks: receiving and storing sensor data, receiving and storing video recordings, correlating sensor data with video segments, and generating feedback, thereby managing system complexity through integrated multi-functionality rather than separate specialized components
Solution Approach 2:
The patent uses timestamp data as an intermediary element that mediates between sensor data and video recordings, providing a common reference framework that simplifies the correlation process by enabling time-based alignment without requiring complex synchronization mechanisms
Data Source
AI summary
A method for processing a video recording involves receiving sensor data from at least one sensor located on a person performing a physical activity. The sensor data includes biometric and/or biomechanical measurements taken from the person while performing the activity. The video recording is of the person performing the activity. The received video recording is correlated with the received sensor data to allow portions of the video recording to be matched with portions of the sensor data from corresponding periods of time. Correlation allows one to readily find and review video footage that show the activity being performed correctly or not based on an interpretation of the sensor data.