Wearable Camera Motion Sensor Event Correlation
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Solution Overview
Problem
Wearable cameras do not effectively record and correlate user behaviors with captured video data, leading to inefficient reporting processes for law enforcement officers, as they must manually recreate behavioral logs from video footage, consuming significant time and resources.
Innovation Solution
A wearable camera system that includes a video recording device, motion sensors, and a controller to detect default events and generate event list information, which is correlated with video recordings, allowing for automated logging of user behaviors without the need for manual reproduction of video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a wearable camera only records captured video without automatically detecting behaviors, then the device complexity remains low, but the productivity of law enforcement officers deteriorates due to manual video reproduction requirements
Solution Approach 1:
The wearable camera system automatically detects user behaviors through integrated sensors and generates event list information without requiring external manual intervention. The determination unit autonomously analyzes sensor data to identify behaviors such as running, walking, or standing, and correlates these with captured video timestamps, enabling the system to self-document law enforcement activities without officer involvement in the documentation process
Solution Approach 2:
The wearable camera integrates multiple functions into a single device: video recording, sensor data acquisition (acceleration, angular velocity, position), automatic behavior detection, and event list generation. This multi-functional system replaces separate equipment and manual processes, allowing one device to perform recording, monitoring, analysis, and reporting functions that previously required multiple tools and human effort
2Extent of automation
If a wearable camera integrates sensors and automatic behavior detection, then the extent of automation improves, but the device complexity increases due to additional components
Solution Approach 1:
The patent combines video recording functionality with sensor data acquisition and automatic behavior detection into an integrated wearable camera system. The determination unit merges multiple sensor inputs (acceleration sensors, angular velocity sensors, position information) with video data, correlating them by timestamp to automatically generate event lists that link specific behaviors to corresponding video segments, eliminating the need for separate documentation equipment
Solution Approach 2:
The determination unit acts as an intermediary component that processes sensor data and video information, translating raw sensor readings into meaningful behavior detections. It correlates sensor events with video timestamps and generates structured event list information that serves as an automated narrative of law enforcement activities, reducing the complexity burden by creating a standardized intermediate data format
3Loss of time
If law enforcement officers manually reproduce behavioral logs from video footage, then the measurement precision of behavior documentation is high, but the loss of time increases significantly
Solution Approach 1:
The system performs preliminary detection and documentation of behaviors during the actual law enforcement activity. Sensors continuously monitor and detect user behaviors in real-time, automatically generating event list information with precise timestamps that correlate with video recording. This preliminary automatic documentation eliminates the need for post-activity manual video review and log creation, saving significant time while maintaining accuracy through automated sensor-based detection
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 efficient recording and correlation of user behaviors with video data, reducing the time and effort required for reporting and enhancing the support of law enforcement operations by automating the logging process.
Implementation Method 1
a sensor that acquires information regarding motion of the user
Data Source
AI summary
A wearable camera includes a video recording device that records a captured video of a subject on the front side of a user on a recorder, a sensor that acquires information regarding motion of the user, a determiner that determines whether or not at least one default event has occurred on the basis of information regarding motion of the user acquired by the sensor during recording of the captured video of the subject, and a controller that generates event list information in which a detection time point of the default event is correlated with information regarding the default event according to determination that the at least one default event has occurred during recording of the captured video of the subject, and records the event list information on the recorder in correlation with the captured video of the subject.


