Wi-Fi Object Tracking With 3D Motion Fusion

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Solution Overview

Problem

Wireless motion positioning systems face challenges in training due to lack of feedback mechanisms and user intuitiveness, leading to reduced accuracy and efficiency, and camera-based tracking raises privacy concerns.

Innovation Solution

An object tracking system utilizing Wi-Fi sensing technology combines spatial and motion information, employing AR technology to generate precise three-dimensional tracking and incorporates a feedback mechanism for model refinement, using AR and infrared imaging to enhance privacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If camera-based tracking technology is used to achieve visual monitoring, then tracking accuracy is improved, but privacy concerns arise due to exposure of personal information

Engineering Contradiction:

Improvetracking accuracyVSAvoidprivacy exposure

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent replaces camera-based optical tracking with Wi-Fi sensing technology that uses wireless signal interactions to detect motion and position. This substitution eliminates the need for visual capture while maintaining tracking functionality through signal processing and machine learning models that analyze Wi-Fi channel state information.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces Wi-Fi signals as an intermediary medium between the tracking system and the target object. Instead of direct visual contact via cameras, the system uses wireless signals that interact with the environment and objects to infer position and motion, thereby preserving privacy while enabling tracking.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If traditional motion positioning systems are used without feedback mechanisms, then system simplicity is maintained, but model accuracy deteriorates due to insufficient training refinement

Engineering Contradiction:

Improvesystem simplicityVSAvoidmodel accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the system generates tracking results, receives user feedback on accuracy, and uses this feedback to retrain and refine the machine learning models. This closed-loop approach continuously improves model performance while maintaining reasonable system complexity through automated training processes.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250292520A1Object tracking system and object tracking method

Publication Date: 2025.09.18 WISTRON NEWEB CORP

AI summary

An object tracking system and an object tracking method are provided. The object tracking system includes a transmitter, a receiver and a processing circuit. The transmitter is configured to transmit wireless signals through a target space. The receiver is configured to receive the wireless signals. The at least one processing circuit is configured to perform following processes: obtaining the wireless signals received by the receiver; generating motion information associated with at least one target object by executing a motion machine-learning model that processes the received wireless signals; generating three-dimensional tracking information of the at least one target object with respect to the target space by fusing spatial information of the target space and the motion information; and generating at least one augmented reality (AR) object corresponding to the at least one target object in a digital image corresponding to the target space according to the three-dimensional tracking information.