Wearable Sensor Context for Dynamic Camera Configuration
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Solution Overview
Problem
High-cost sensors, such as cameras, require significant power, communication bandwidth, and processing resources, making them inefficient in applications where resource consumption needs to be minimized.
Innovation Solution
The use of low-cost wearable sensors to dynamically configure high-cost sensors by providing context information, allowing for real-time reconfiguration of camera parameters such as field of view, zoom, and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-cost sensors (e.g., cameras) operate continuously to capture data, then data capture effectiveness is improved, but resource consumption (power, bandwidth, processing) increases significantly
Solution Approach 1:
A wearable sensor acts as an intermediary device that continuously monitors user context (location, activity, biometric data) and triggers the high-cost camera sensor only when relevant events are detected. This mediator approach allows the camera to remain inactive during irrelevant periods, dramatically reducing power consumption while ensuring it activates reliably when data capture is actually needed based on user context.
2Reliability
If high-cost sensors operate continuously, then complete scene monitoring is improved, but network bandwidth consumption increases
Solution Approach 1:
Instead of continuous transmission, the system implements periodic action by transmitting data only at specific intervals triggered by wearable sensor events. The camera and data transmission occur periodically based on detected user contexts (e.g., when the user stops, when specific activities are detected), rather than continuously. This maintains monitoring completeness for relevant events while dramatically reducing network bandwidth consumption during idle periods.
3Measurement precision
If high-cost sensors operate at full capacity, then data quality is improved, but processing resource consumption increases
Solution Approach 1:
The system applies partial action by activating the high-cost camera sensor only partially (intermittently) based on wearable sensor triggers rather than continuously at full capacity. When triggered by relevant user contexts, the camera operates at full quality; otherwise, it remains inactive. This selective partial operation maintains high data quality for relevant events while reducing overall processing resource consumption compared to continuous full-capacity operation.
Data Source
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AI summary
An apparatus comprising means for: obtaining sensor data from at least one first, wearable, sensor, the sensor data comprising at least one sensor signal; comparing the sensor data to a context parameter; and causing at least one second sensor to be dynamically configured based on the comparison.