Interactive Object Tracking With User-Height Self-Calibration
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Solution Overview
Problem
Existing interactive environments struggle to accurately track and adjust for varying user heights, leading to inconsistent and less immersive special effects due to users of different heights being represented by similar image data, affecting interaction detection and feedback.
Innovation Solution
An interactive object tracking and calibration system that determines a target point based on sensor data and adjusts user-height parameters to account for varying user heights, using infrared cameras and controllers to calibrate interactions and provide personalized special effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed user-height parameter is used for all users, then the system operation is simple, but the measurement precision of interaction detection deteriorates for users of different heights
Solution Approach 1:
The system dynamically adjusts the user-height parameter based on detected target points. Instead of using a fixed parameter for all users, the system continuously monitors interaction targets and modifies the height parameter in real-time to match each user's actual height, thereby maintaining both operational simplicity and measurement precision across diverse user populations.
Solution Approach 2:
The system changes the user-height parameter value based on detected interaction patterns. When a target point falls outside the adjustment plane, the system infers the user's actual height and updates the parameter accordingly, allowing the same system to accurately serve users of varying heights without requiring manual configuration.
2Measurement precision
If user-height parameters are adjusted for each user, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system performs self-calibration by automatically detecting target points and adjusting its own user-height parameter without external intervention. The calibration process is embedded within the normal interaction flow, allowing the system to adapt to each user automatically, thereby improving precision while minimizing the perceived complexity for end users.
Solution Approach 2:
The system performs preliminary calibration by detecting the first interaction target and adjusting the user-height parameter before subsequent interactions occur. This preliminary adjustment ensures that all following interactions are measured with the correct parameter, improving overall precision without requiring complex real-time adjustments during each interaction.
3Measurement precision
If the target point is outside the adjustment plane, then the user-specific calibration is needed, but the interaction feedback consistency deteriorates
Solution Approach 1:
The system uses feedback from target point detection to determine when calibration is needed. When a target point falls outside the adjustment plane, the system triggers a calibration routine that adjusts the user-height parameter. This feedback mechanism ensures that calibration occurs only when necessary, maintaining both user-specific accuracy and overall interaction consistency by avoiding unnecessary parameter changes during normal interactions.
Data Source
AI summary
A method may include receiving input from an interactive object held by a user in an interactive environment. The method may also include determining a target point of the interactive object based on the input and a user-height parameter of the user. Additionally, the method may include adjusting the user-height parameter in response to the target point being outside an adjustment plane of the interactive environment.