Body-Driven HMI Control With Self-Contained 3D Motion Tracking
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Solution Overview
Problem
Current handheld controllers for gaming and VR/AR systems face limitations in precise 3D tracking, ergonomic design, and low latency, often requiring external sensors and increasing system complexity and cost.
Innovation Solution
A body-driven human machine interface controller using biocompatible neodymium magnetic markers and advanced inertial measurement units (IMUs) with embedded machine learning for real-time gesture recognition, providing high-precision 3D motion tracking and ergonomic design in a self-contained unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external sensors and tracking stations are used to achieve accurate motion detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the tracking functionality from external sensors and stations, integrating all necessary sensing capabilities (accelerometers, gyroscopes, magnetometers) directly into the handheld controller. This eliminates the need for external tracking infrastructure while maintaining accurate motion detection through self-contained inertial measurement units.
Solution Approach 2:
The controller integrates multiple functions into a single device: motion sensing, spatial orientation tracking, and interaction control all within one unit. The inertial measurement unit serves multiple purposes for tracking different aspects of controller movement and orientation, reducing system complexity while maintaining precision.
2Measurement precision
If external tracking stations are deployed to monitor controller position in 3D space, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent removes the requirement for external tracking stations by integrating all tracking capabilities into the controller itself. The inertial measurement unit and sensors enable the controller to independently monitor its own position and orientation in 3D space without external infrastructure.
Solution Approach 2:
The controller performs self-tracking using its embedded sensors and processing capabilities. The device autonomously monitors its own spatial position, orientation, and movement through its inertial measurement unit, eliminating the need for external systems to track and report controller position.
3Measurement precision
If advanced sensor systems are integrated to achieve precise spatial tracking, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (accelerometers, gyroscopes, magnetometers) into a single integrated inertial measurement unit within the controller. This merging of sensing capabilities provides comprehensive spatial tracking precision while consolidating hardware complexity into one unified component rather than separate external systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables intuitive and immersive user experiences with accurate spatial tracking and low-latency wireless connectivity, enhancing portability and versatility by eliminating the need for handheld sensors and external tracking stations.
Implementation Method 1
a Hall Effect sensor configured to detect micro-movements of the tracer
Implementation Method 2
biocompatible neodymium magnetic markers, each with a magnetic strength of 0.5-1.0 Tesla
Data Source
AI summary
A system for remotely controlling an appliance/device by a user includes a tracer affixed to a face or thumb of the user, wherein a change in position of the face/thumb of the user changes position of the tracer, a tracer position sensor positioned proximate said tracer, said tracer sensor configured to detect a position of said tracer relative to said tracer sensor, a processor control unit having a processor, a power supply, a memory, and a communications system to process a tracer sensor signal based on the detected position of said tracer relative to said tracer sensor into a command, and said processor communicates said command to the appliance/device via said communications system, and thus enables hands free commands to be communicated to an appliance/device.