Event Detection Using Inertial and Signal Feature Matching
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Solution Overview
Problem
The high cost and inefficiency of setting up multiple sensors to detect various events on an object, such as a handgun, due to the need for sensors on different components like the trigger, slide, and magazine, pose a challenge in the field of object tracking.
Innovation Solution
An event detection apparatus utilizing an inertial measurement unit and a first sensor, connected to a processor, compares signals and their features to determine events without requiring sensors on each component, using an inertial signal and a first signal to trigger events based on signal matching and timing relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors are installed on different components (trigger, slide, safety, magazine) to detect user operations, then the event detection capability is improved, but the tracking cost significantly increases
Solution Approach 1:
The patent combines multiple sensor types (accelerometer, gyroscope, magnetometer, barometer, temperature sensor, humidity sensor, light sensor, proximity sensor) into a single integrated sensor module that monitors multiple components simultaneously. This merging approach maintains comprehensive event detection capability while reducing the overall number of sensors needed, thereby lowering tracking cost and device complexity
Solution Approach 2:
The sensor module is designed with multi-functionality to detect various events across different handgun components using a unified sensing platform. The processor analyzes signals from the integrated sensors to identify multiple event types (trigger pull, slide movement, safety engagement, magazine insertion) without requiring separate dedicated sensors for each component, achieving cost-effective comprehensive monitoring
2Reliability
If multiple sensors are installed on different components to detect various events, then the detection coverage is improved, but the computational burden increases
Solution Approach 1:
The processor implements partial action by selectively activating specific sensor readings and analysis algorithms based on the current operational context and detected events. Instead of continuously processing all sensor data at full computational intensity, the system adjusts its processing level dynamically, maintaining detection coverage while reducing unnecessary computational burden and energy consumption during normal operation
Data Source
AI summary
An event detection apparatus and method are provided. The apparatus is configured to detect an inertial signal and a first signal corresponding to the apparatus. The apparatus compares the first signal and multiple signal features to determine whether the first signal matches one of the signal features. In response to the first signal at a time point matching a first feature of the signal features, the apparatus determines whether the inertial signal during a time period matches a second feature. In response to the inertial signal during the time period matching the second feature, the apparatus triggers an event corresponding to the first feature and the second feature.