Head-Wearable Image Capture Using Biometric Trigger Conditions
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Solution Overview
Problem
Conventional wearable devices require user interaction for image capture during physical activities, distracting users and risking device damage, while failing to provide convenient access and sharing of captured images.
Innovation Solution
Wearable devices monitor sensor data to automatically capture images when trigger conditions are met, reducing user input and interaction, and enable seamless transfer and sharing of images between devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional wearable devices require user interaction for image capture during physical activities, then the user can consciously control when to capture images, but the user experience is degraded due to distraction and risk of device damage
Solution Approach 1:
The wearable device automatically captures images based on sensor data analysis without requiring user interaction. The device monitors its own state (movement, location, biometric data) and autonomously determines when to capture images, eliminating the need for manual user input during physical activities and preventing device damage from accidental drops.
Solution Approach 2:
The patent replaces manual mechanical interaction (pressing a physical button or touching a screen) with automated sensor-based detection. Sensors monitor physical activities, location changes, and biometric data to trigger image capture automatically, substituting the mechanical user interaction system with an automated sensing and decision-making system.
2Ease of operation
If automatic image capture based on sensor data is implemented, then user distraction is minimized and device safety is improved, but the complexity of the device increases
Solution Approach 1:
The wearable device uses its existing multi-functional sensor system (designed for fitness tracking and health monitoring) to also perform image capture triggering. The same sensors that monitor heart rate, movement, and location are repurposed to detect conditions for image capture, eliminating the need for separate dedicated hardware and reducing overall system complexity.
Solution Approach 2:
The patent merges the image capture control function with the existing sensor data processing system. Instead of creating a separate automated capture system, the control logic for image capture is integrated into the existing firmware that processes sensor data for fitness tracking, combining multiple functions into a unified system.
3Measurement precision
If multiple sensors are used to monitor trigger conditions, then image capture accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system monitors multiple sensor data streams but only triggers image capture when specific combinations of conditions are met. Not all sensors are actively processed at full intensity continuously; instead, the system selectively evaluates sensor data based on predefined trigger conditions, reducing overall processing energy while maintaining detection accuracy when triggers occur.
Solution Approach 2:
The sensor monitoring system operates in periodic cycles rather than continuous full-power mode. Sensors collect data at intervals, and the system evaluates trigger conditions periodically, reducing energy consumption while maintaining sufficient detection accuracy. The monitoring intensity can be adjusted based on activity level and current conditions.
Data Source
AI summary
Systems and methods are provided for capturing image data using an imaging device of a head-wearable device and modifying the image data with captured sensor data. An example method includes receiving image data captured by an imaging device of a head-wearable device worn by a user during performance of a physical activity, and receiving, during performance of the physical activity, sensor data sensed from the user by one or more sensors. The sensor data includes, at least, biometric data. The method includes generating modified image data based on the sensor data and the image data. The modified image data includes the image data and an overlay including, at least, the biometric data. The method also includes providing the modified image data to an electronic device, and causing presentation of the modified image data at a user interface displayed at the electronic device.