XR Assistance via Sensor-Based User State Detection
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Solution Overview
Problem
Existing XR systems inadequately assist users who need help navigating unfamiliar environments, particularly those with disabilities or impairments, as they struggle to understand their surroundings.
Innovation Solution
Implementing devices with sensors that capture user data to determine their state, providing augmentations such as guidance or information based on facial expressions, body language, and gestures to assist users in navigating their environment effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If XR systems provide assistance to users in unfamiliar environments, then user navigation capability is improved, but device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The XR system integrates multiple sensor types (image sensors, depth sensors, biometric sensors, physiological sensors, audio sensors) into a unified platform that serves multiple functions: environmental mapping, user state detection, gesture recognition, and assistance delivery. This multi-functional approach improves navigation capability while managing device complexity through consolidation.
Solution Approach 2:
The system automatically detects user state through sensor data analysis and provides appropriate assistance without requiring explicit user commands. The processor monitors sensor data to identify when assistance is needed and delivers guidance autonomously, reducing the operational burden on users while managing system complexity through automated decision-making.
2Measurement precision
If the system monitors multiple sensor data types to determine user state, then user assistance accuracy is improved, but energy consumption increases
Solution Approach 1:
The system continuously monitors sensor data to track user state changes and environmental conditions, ensuring that assistance is always available when needed. This continuous monitoring improves detection accuracy while managing energy consumption through efficient data processing and selective sensor activation based on detected user states.
Solution Approach 2:
The system dynamically adjusts monitoring intensity and sensor activation levels based on real-time user state detection. When user assistance is detected, the system increases monitoring precision; when not needed, it reduces sensor activity to conserve energy, creating a dynamic balance between accuracy and power consumption.
Data Source
AI summary
Various implementations disclosed herein provide augmentations in extended reality (XR) using sensor data from a user worn device. The sensor data may be used understand that a user's state is associated with providing user assistance, e.g., a user's appearance or behavior or an understanding of the environment may be used to recognize a need or desire for user assistance. The augmentations may assist the user by enhancing or supplementing the user's abilities, e.g., providing guidance or other information about an environment to disabled/impaired person.