Head-Wearable Motion Trigger for Automatic Emergency Media Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing augmented reality systems lack the ability to automatically and intelligently capture images or videos based on sudden changes in motion sensor data, such as during threatening or emergency events, without user intervention.
Innovation Solution
A device trigger system that detects sudden changes in motion sensor data on a wearable device to automatically record and transmit threatening or emergency events, utilizing biometric sensor data for intelligent image or video capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic capture based on motion sensor data is implemented, then user safety and emergency event recording are improved, but device complexity and false trigger risk increase
Solution Approach 1:
The system performs preliminary configuration by establishing threshold values and trigger conditions before actual use. Motion sensor thresholds, time window parameters, and capture settings are pre-configured so that when an emergency event occurs, the system can immediately respond without complex real-time decision-making, thus improving reliability while managing complexity.
Solution Approach 2:
The system incorporates feedback mechanisms where motion sensor data continuously monitors and compares against predefined thresholds. When threshold violations occur within specified time windows, the system provides feedback by triggering capture events. This closed-loop approach ensures reliable emergency detection while keeping the processing logic straightforward through clear threshold-based decision criteria.
2Measurement precision
If motion sensor threshold is set low for sensitive detection, then emergency event detection capability is improved, but false trigger rate increases
Solution Approach 1:
The system pre-configures not only threshold values but also time window parameters and trigger conditions before operation. By establishing these parameters in advance, the system can differentiate between normal motion variations and genuine emergency events, improving detection sensitivity while reducing false triggers through pre-planned decision criteria.
Solution Approach 2:
The system dynamically evaluates motion sensor data against configurable thresholds and time windows. Rather than using fixed rigid thresholds, the system adapts by considering the temporal context of motion events within specified time windows, allowing sensitive detection of emergencies while filtering out transient false triggers through dynamic temporal analysis.
3Measurement precision
If multiple sensor parameters are monitored for accurate trigger detection, then detection accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system pre-configures threshold values, time window durations, and trigger conditions before operation. By having all decision parameters established in advance, the system can quickly evaluate multiple sensor parameters against predefined criteria during events, improving detection accuracy without incurring delays from real-time parameter optimization or complex calculations.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods herein describe a media capture system that receives sensor data from motion sensors coupled to a head-wearable apparatus, detects a trigger event corresponding to a head-wearable apparatus based on the sensor data, captures images using a camera coupled to the head-wearable apparatus, and transmits the captured images to a client device.