Motion Detection System Haptic Feedback Error Compensation
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Solution Overview
Problem
Haptic feedback elements in motion detection systems for virtual, augmented, and mixed reality technologies introduce positioning errors due to their motion, which existing systems fail to accurately compensate for, affecting the immersion and realism of the simulated environment.
Innovation Solution
A motion detection system that includes haptic feedback devices with sensors and a processor, which modifies detection values from motion sensors using compensating commands, determined through lookup tables or machine learning models, to filter out the influence of haptic feedback elements, thereby improving positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If haptic feedback elements are activated to provide tactile feedback, then user immersion and realism are enhanced, but positioning accuracy deteriorates due to motion-induced detection errors
Solution Approach 1:
The patent converts the harmful effect of haptic feedback motion on positioning accuracy into a beneficial solution by using machine learning models to predict and compensate for the motion-induced detection errors. The system learns the correlation between haptic feedback activation and sensor detection value changes, then uses this knowledge to correct positioning errors, thereby maintaining both immersion and accuracy.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors detection values from motion sensors, compares them against expected values, and uses machine learning models to generate compensating corrections. This closed-loop feedback system dynamically adjusts positioning data to eliminate errors introduced by haptic feedback element motion.
2Measurement precision
If motion sensors continuously track device location for accurate positioning, then positioning precision is improved, but detection values are corrupted by haptic feedback element motion
Solution Approach 1:
The patent introduces machine learning models as an intermediary layer between the motion sensor detection values and the final positioning result. This intermediary processes the raw detection values, identifies and removes the corruption caused by haptic feedback motion, and produces cleaned positioning data, thereby preserving measurement precision while eliminating information loss.
Solution Approach 2:
The patent replaces traditional mechanical filtering methods with machine learning-based error compensation. Instead of using physical dampers or mechanical isolation to reduce haptic feedback motion interference, the system uses intelligent algorithms to detect and correct detection value corruption, achieving more precise error elimination without compromising positioning precision.
3Adaptability or versatility
If haptic feedback elements are equipped with motion sensors for tracking, then motion detection capability is improved, but positioning error increases due to haptic element motion interference
Solution Approach 1:
The patent segments the positioning error into two components: legitimate motion of the haptic feedback device and spurious motion caused by haptic element vibration. By using machine learning models to distinguish between these two sources, the system can preserve accurate tracking of actual device motion while filtering out positioning errors induced by haptic feedback activation.
Data Source
AI summary
A motion detection system, a motion detection method and a computer-readable recording medium thereof are provided. The motion detection system includes one or more haptic feedback devices and a motion sensor. The haptic feedback devices are equipped with one or more haptic feedback elements. The haptic feedback elements are configured to perform a haptic feedback. The haptic feedback elements are triggered to perform a haptic feedback according to a haptic feedback command. A detection value from the motion sensor is modified in response to the haptic feedback elements being triggered by the haptic feedback command. Accordingly, the precision for positioning the haptic feedback devices can be improved.


