Motion Recognition Device 3D Gesture Detection
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Solution Overview
Problem
Existing motion sensing technologies for electronic devices are limited in accurately detecting object motion in three-dimensional space, particularly in varying light conditions, which affects gesture recognition and user interaction.
Innovation Solution
A motion recognition device equipped with a photodetector array and an analog-to-digital converter that continuously acquires image frames to detect objects and determine motion in a three-dimensional coordinate system, using a processor to adjust lighting and calibrate image output for improved accuracy and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motion sensing is performed in varying light conditions, then the device can operate in different environments, but the accuracy of motion detection deteriorates
Solution Approach 1:
The patent introduces an intermediary processing step where the processor analyzes multiple image frames to identify and compensate for lighting variations. By comparing sequential frames and detecting changes that exceed a threshold, the system separates actual motion signals from lighting-induced noise, thereby maintaining measurement precision across varying light conditions
Solution Approach 2:
The system performs preliminary analysis of image frames to detect lighting conditions before motion detection is executed. By pre-identifying frames with significant lighting changes and excluding or correcting them, the system prepares the data in advance to ensure accurate motion detection regardless of ambient light variations
2Measurement precision
If continuous image frames are acquired to improve motion detection accuracy, then motion tracking is enhanced, but energy consumption increases
Solution Approach 1:
The patent implements periodic acquisition of image frames at optimized intervals rather than continuous acquisition. The processor determines when to capture the next frame based on previous motion activity and confidence levels, acquiring frames periodically at rates sufficient for motion detection while minimizing unnecessary energy consumption from constant frame capture
Solution Approach 2:
The system acquires more image frames than strictly necessary for basic motion detection, using the excess frames for advanced analysis such as gesture recognition and motion pattern identification. This partial action approach allows the system to maintain high motion detection accuracy while managing energy consumption by processing only the necessary portion of acquired frames in real-time
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
Enhances the accuracy of motion detection and user interaction by effectively handling varying light conditions and providing a comfortable visual experience while optimizing energy usage.
Implementation Method 1
The photodetector array includes a plurality of photodetectors that are arranged on a two-dimensional plane and that are operable to generate sense signals by detecting intensity of light received thereby
Data Source
AI summary
A method for sensing a motion of an object is to be implemented by a motion recognition device that includes an image acquiring unit and a processor. In the method, the image acquiring unit is configured to acquire a series of image frames by detecting intensity of light received thereby. The processor is configured to receive at least one of the image frames and to determine whether an object is detected in the at least one of the image frames. When an object is detected, the processor is further configured to receive the image frames from the image acquiring unit, and to determine a motion of the object with respect to a three-dimensional coordinate system according to the image frames thus received.