AR Wearable Biometric Disruption Indicator
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Solution Overview
Problem
Existing augmented reality (AR) wearable devices lack an effective method to communicate a user's focused or distracted state to others, leading to potential interferences and productivity issues during critical tasks.
Innovation Solution
A wearable device with biometric sensors, a display, and a light source that generates visual signals based on user state, using biometric data such as eye gaze, EEG, ECG, and body temperature to determine disruption levels and communicate them through light colors or patterns to other users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a worker focuses on a critical task, then task completion quality improves, but communication with other workers deteriorates leading to potential interferences
Solution Approach 1:
The patent uses color-changing visual indicators (e.g., LED lights on the HMD or AR overlays) to communicate the user's focus state to others. When the system detects deep focus through biometric sensors, it displays specific colors (e.g., red) to signal 'do not disturb,' while other colors indicate availability for interaction. This resolves the contradiction by providing intuitive visual communication without requiring the worker to break concentration.
Solution Approach 2:
The patent introduces an intermediary communication system consisting of biometric sensors, processors, and visual indicators that mediate between the worker's internal focus state and external communication needs. This intermediary automatically translates physiological data into social signals, eliminating the need for direct worker-to-worker communication about focus states and preventing interruptions during critical tasks.
2Measurement precision
If biometric sensors are added to detect user focus state, then user status detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent integrates multiple biometric sensors (ocular cameras, EEG detectors, ECG detectors, body temperature monitors, muscle tension sensors) into a single multi-functional HMD system. These sensors serve dual purposes: detecting focus state and providing comprehensive physiological monitoring. The unified architecture reduces overall system complexity compared to separate devices, while maintaining high measurement precision through sensor fusion algorithms.
Solution Approach 2:
The patent combines multiple detection functions (eye tracking, brain wave monitoring, heart rate detection, temperature sensing, muscle tension measurement) into one integrated HMD platform. By merging these functions into a single device with shared processing resources and unified control logic, the system achieves accurate focus state detection without proportionally increasing complexity. The combined approach allows cross-validation of multiple sensor inputs to improve measurement reliability.
Data Source
AI summary
A device has a biometric sensor, a display, a light source, and a hardware processor. The biometric sensor measures biometric information of a user of the device. The display displays augmented reality (AR) content. The light source outputs a visual signal. The hardware processor performs operations comprising: identifying a task being performed by the user of the device, determining a disruption level based on a combination of the AR content, the task, and the biometric information, and generating, using the light source, the visual signal corresponding to the disruption level. The visual indicator visually alerts other users of other devices to avoid engaging the user of the device.