Infrared Patterned Motion Recognition Event Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing motion recognition technologies face challenges in accurately distinguishing between object of interest and background movements, leading to reduced accuracy in human-computer interaction.
Innovation Solution
A motion recognition device and method that utilize an emitter to emit an infrared ray in a pattern, a detector to detect events in both visible and infrared ray areas, and a filter to determine and filter events based on the presence of the pattern, enhancing accuracy by differentiating between object of interest and background movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion recognition is performed using only visible ray detection, then the device complexity is low, but the measurement precision of motion recognition deteriorates due to inability to distinguish object of interest from background movements
Solution Approach 1:
The detection system is segmented into two independent detection channels: visible ray detection and infrared ray detection. Each channel processes events independently, allowing the system to distinguish between background movements (detected only in visible channel) and objects of interest (detected in both channels). This segmentation resolves the contradiction by improving motion recognition accuracy through multi-channel detection while maintaining manageable device complexity through modular architecture.
Solution Approach 2:
Infrared radiation serves as an intermediary marker that is selectively applied to the object of interest. The infrared emitter attached to the object of interest acts as a mediator that enables the detector to distinguish this object from background elements. This intermediary approach improves measurement precision by providing a unique identification signal without requiring complex detection hardware.
2Measurement precision
If infrared ray emission is added to the detection system, then the measurement precision of motion recognition improves, but the use of energy increases due to additional infrared emitter operation
Solution Approach 1:
The infrared emitter operates in a periodic or pulsed manner rather than continuously, emitting infrared rays at specific time intervals. This periodic operation reduces energy consumption compared to continuous emission while still providing sufficient infrared signals for accurate motion recognition. The system achieves improved measurement precision through periodic infrared detection without the continuous energy burden.
3Measurement precision
If event filtering based on pattern recognition is implemented, then the measurement precision improves by filtering background movements, but the device complexity increases due to additional filtering processing
Solution Approach 1:
The filtering process extracts and isolates events that contain both visible and infrared ray detection signals, separating these from background events that contain only visible ray signals. This extraction approach improves measurement precision by focusing computational resources only on relevant events (those with infrared markers) while automatically discarding background noise, thereby managing processing complexity efficiently.
Solution Approach 2:
The system creates a virtual model or representation of the infrared pattern in the digital signal processing domain. By comparing detected event patterns against the known infrared emission pattern, the filter can identify and accept only events corresponding to the marked object of interest. This copying approach simplifies the filtering logic by using pattern matching rather than complex physical analysis.
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
The solution significantly enhances the accuracy of motion recognition by effectively filtering out background movements, improving the precision of human-computer interaction by correctly identifying and accepting events related to the object of interest.
Implementation Method 1
an emitter configured to emit an infrared ray in a pattern
Implementation Method 2
an event-based image sensor configured to detect events based on a change in an image input from a visible ray area and an infrared ray area
Data Source
AI summary
An event filtering device and a motion recognition device using thereof are provided. The motion recognition device includes an emitter configured to emit an infrared ray in a pattern; a detector configured to detect events in a visible ray area and an infrared ray area; a filter configured to determine whether at least one portion of the detected events is detected using the infrared ray in the pattern, and filter the detected events based on a result of the determination; and a motion recognizer configured to perform motion recognition based on a detected event accepted by the filter.