Micro-motion sensing device radar velocity tracking
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Solution Overview
Problem
Dynamic frame rate rendering techniques face challenges in tracking micro-motions, such as facial expressions, due to difficulties in detecting subtle changes and high power dissipation during velocity vector calculation.
Innovation Solution
A micro-motion sensing device comprising a motion sensor, classifier, and render that processes input radar signals to obtain velocity and range information, performs downsampling of video streams based on velocity, and adjusts rendered frequency to reduce power consumption and improve video smoothness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If dynamic frame rate rendering technique uses velocity vector calculation to track micro-motion, then video smoothness is improved, but power dissipation increases significantly
Solution Approach 1:
The patent extracts only the necessary velocity information from radar signals rather than performing complete velocity vector calculations on video streams. By selecting and using only the essential motion parameters obtained directly from radar, the system achieves micro-motion tracking with significantly reduced computational load and power consumption.
Solution Approach 2:
The patent replaces the traditional video-based velocity vector calculation mechanism with a radar-based velocity detection mechanism. Radar directly provides velocity information through Doppler effect measurement, eliminating the need for complex video frame difference analysis and edge detection algorithms, thereby reducing power dissipation while maintaining video smoothness.
2Extent of automation
If conventional video processing uses edge detection to detect facial expressions, then motion tracking is achieved, but measurement precision deteriorates for subtle changes
Solution Approach 1:
The patent introduces radar as an intermediary sensing modality between the object and the video processing system. Radar signals penetrate through visual limitations and directly capture subtle micro-motions such as facial expressions with high precision, providing accurate velocity and range information that complements and enhances video-based motion tracking.
Solution Approach 2:
The patent makes the motion sensing system universal by combining radar and video processing capabilities. The radar component handles subtle micro-motion detection while the video component captures visual information, creating a multi-functional sensing system that achieves both automated motion tracking and high measurement precision for subtle changes simultaneously.
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
Effectively reduces power dissipation and enhances video fluency by dynamically adjusting frame rates based on object velocity, enabling efficient tracking of micro-motions with reduced computational load.
Implementation Method 1
The motion sensor receives an input radar signal and obtains velocity information and range information of an object according to the input radar signal
Data Source
AI summary
A micro-motion sensing device and a sensing method thereof are provided. The micro-motion sensing device includes a motion sensor, a motion classifier, and a render. The motion sensor receives an input radar signal and receives a video stream information through an image capturer. The motion sensor obtains velocity information and range information of an object according to the input radar signal, and generates a first video stream information by processing the video stream information according to the velocity information. The motion classifier generates a motion prediction information by classifying a motion of the object according to the velocity information, the range information, and the first video stream information. The render adjusts a rendered frequency of the first video stream information according to the velocity information.