Wearable Object Recognition for Real-Virtual Risk Feedback
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Solution Overview
Problem
Existing wearable electronic devices, such as AR and VR glasses, lack the capability to differentiate between real and virtual objects and assess the risk associated with them, leading to potential confusion and safety hazards.
Innovation Solution
A wearable electronic device equipped with sensors and processors that can detect, recognize, and identify real or virtual objects, determine their risk levels, and provide feedback based on their proximity to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wearable electronic devices display virtual images to provide immersive experiences, then user engagement and entertainment value are improved, but safety hazards and user confusion increase due to inability to differentiate real and virtual objects
Solution Approach 1:
The system continuously monitors the user's physical environment using sensors and provides feedback by displaying risk level indicators and boundary markers in the augmented reality view. This feedback loop allows users to remain engaged with virtual content while staying aware of real-world safety conditions, resolving the contradiction between immersion and safety.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes sensor data, identifies real versus virtual objects, and generates safety information that is overlaid on the virtual display. This intermediary system acts as a mediator between the immersive virtual environment and the physical reality, enabling both experiences to coexist safely.
2Reliability
If wearable electronic devices provide comprehensive object detection and risk assessment functions, then user safety is improved, but device complexity increases
Solution Approach 1:
The system segments the safety functionality into distinct modules: sensor data acquisition, object detection algorithms, risk level determination, and feedback display. This segmentation allows each component to be optimized independently and simplifies the overall system architecture while maintaining comprehensive safety capabilities.
Solution Approach 2:
The patent employs multi-functional sensors that can detect various types of objects and environmental conditions, and a processing system that handles multiple tasks including object identification, risk assessment, and user feedback generation. This multi-functionality reduces the need for separate specialized components, thereby managing device complexity.
3Loss of information
If wearable electronic devices provide detailed risk information and feedback to users, then user awareness and safety are improved, but information processing requirements and energy consumption increase
Solution Approach 1:
The system applies local quality by providing detailed risk information only for specific objects or regions that pose actual threats, rather than continuously processing and displaying information about all detected objects. This selective information processing reduces energy consumption while maintaining accuracy where it matters most.
Solution Approach 2:
The patent implements partial action by providing feedback at different levels of detail based on risk severity. For low-risk situations, minimal feedback is provided to conserve energy, while high-risk situations trigger more comprehensive information display and processing, balancing information accuracy with energy efficiency.
Data Source
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AI summary
A wearable electronic device is provided. The wearable electronic device comprises: at least one sensor; a display; at least one processor comprising the at least one sensor and a processing circuit; and a memory storing instructions which, when executed by the at least one processor, cause the wearable electronic device to: detect a plurality of objects included within a first field of view (FOV) of the wearable electronic device, the plurality of objects being detectable through the at least one sensor of the wearable electronic device; recognize the type of a first object among the plurality of objects; identify whether the first object is a real object or a virtual object; determine a first risk level of the first object on the basis of the recognized type of the first object and whether the first object is the real object or the virtual object; determine a first distance related to the first object on the basis of the first risk level of the first object; and on the basis of the distance between the first object and the user's body being less than or equal to the first distance, provide feedback on the basis of the first risk level of the first object.