Continuous Body Tracking Engine With Real-Time Feedback
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Solution Overview
Problem
Current body tracking systems for complex interactions lack continuous feedback to users, leading to loss of functionality due to inadequate tracking, particularly in varying lighting and distance conditions, without manual alignment or system training.
Innovation Solution
A method and apparatus for continuous body tracking that captures and filters tracking points, monitors intensity variations, and generates real-time audiovisual feedback to ensure adherence to predetermined tracking criteria, using a capture system and hardware processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If body tracking is performed without continuous feedback to the user, then the system complexity is reduced, but the reliability of interaction is worsened due to loss of functionality when tracking becomes inadequate
Solution Approach 1:
The system continuously monitors the quality of body tracking by analyzing tracking points and generates real-time feedback to the user through visual or audio signals when tracking quality falls below a threshold. This feedback mechanism maintains high interaction reliability by alerting users to adjust their position or posture, preventing loss of functionality while managing system complexity through targeted monitoring rather than comprehensive system overhaul.
2Reliability
If the system provides comprehensive body tracking without user guidance, then the ease of operation is improved, but the reliability deteriorates in varying lighting and distance conditions without manual alignment
Solution Approach 1:
The system performs preliminary analysis of tracking point quality and predicts potential tracking failures before they occur. By continuously evaluating the intensity and distribution of tracking points across the user's body, the system proactively identifies when lighting conditions or distance are becoming problematic, allowing it to provide timely guidance to users before tracking effectiveness is compromised.
Solution Approach 2:
Real-time feedback is provided to users through visual or audio signals when tracking quality deteriorates due to lighting or distance issues. This feedback loop enables users to automatically adjust their position or posture without manual alignment procedures, maintaining tracking effectiveness while preserving ease of operation.
3Measurement precision
If the system monitors all body tracking points continuously, then the measurement precision is improved, but the use of energy increases due to continuous processing of all tracking data
Solution Approach 1:
The system extracts and focuses monitoring efforts on critical tracking points that are most essential for maintaining interaction reliability. Rather than uniformly processing all tracking points, the system identifies key body regions and tracking quality metrics that have the greatest impact on overall tracking effectiveness, concentrating computational resources on these high-priority areas to maintain precision while reducing energy consumption.
Solution Approach 2:
The system implements selective continuous monitoring of tracking point intensity and distribution rather than exhaustive analysis of all tracking parameters. By focusing computational effort on partial aspects of tracking quality (such as tracking point density and intensity variations in key regions), the system achieves sufficient measurement precision for reliable interaction while significantly reducing the energy burden of continuous full-body tracking analysis.
Data Source
AI summary
A method, non-transitory computer readable medium and apparatus that provides feedback to a user for interacting continuously without any disconnect. It gives real time visual clues and gestures based on application need. This solves the problem of a disconnected user found in current system and applications as user will be continuously aware whether and how much he is being tracked by the application that will allow him to continuously interact with the application. The requirements from various applications like FBT (Full body Tracking), HBT (Half Body Tracking), LTO (Leg Tracking Only), HTO (Hand Tracking Only), STO (Specific Tracking only) is sent to the CFBTE (Continuous Full Body Tracking Engine). The CFBTE process the requirements and generates the visual clues and gesture events. In visual clues the tracking level/intensity is continuously displayed, which will guide the user on system readiness and effectiveness for interaction.