Virtual Smoke Synchronization via Respiration Distance Monitoring
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Solution Overview
Problem
Current virtual reality and augmented reality technologies lack the ability to accurately synchronize virtual smoke with real-time user actions, particularly in electronic devices, leading to a disjointed experience.
Innovation Solution
A method is developed to predict the virtual smoke implementation timepoint by monitoring the distance between an electronic device and a user, using sensors to detect inhalation and exhalation intervals, and transmitting control signals to a VR device to synchronize virtual smoke with real user actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual smoke is implemented without predicting user respiration timing, then the system is simpler, but the synchronization between virtual smoke and real user actions is poor
Solution Approach 1:
The system performs preliminary detection of user respiration patterns by monitoring distance changes during inhalation and exhalation phases. This advance detection enables the system to predict when virtual smoke should be generated to achieve accurate synchronization with real user actions, rather than reacting after the fact.
Solution Approach 2:
The system continuously monitors the distance between the user and the device to detect respiration cycles, using this feedback information to adjust and optimize the timing of virtual smoke generation. This closed-loop approach ensures that virtual smoke is synchronized with actual user breathing patterns while maintaining system simplicity.
2Reliability
If the system monitors distance continuously to predict respiration timing, then synchronization improves, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic distance detection at strategically chosen intervals. The sensor activates only when needed to detect respiration phases (inhalation start, inhalation end, exhalation start), reducing energy consumption while maintaining accurate prediction of virtual smoke timing through intelligent sampling of distance data.
3Measurement precision
If the system uses multiple sensors to detect respiration, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent employs a single distance sensor that serves multiple functions: detecting inhalation start, detecting inhalation end, detecting exhalation start, and monitoring overall user proximity. This multi-functional approach achieves high measurement precision for respiration detection without increasing hardware complexity, as one sensor replaces what would otherwise require multiple specialized sensors.
Data Source
AI summary
The following embodiments relate to a method of controlling an electronic device to implement virtual smoke in a virtual display device. An operating method of an electronic device according to an embodiment includes sensing a muscle movement based on an input signal received from the electronic device, predicting a virtual smoke implementation timepoint by analyzing a result of the sensing, and displaying a virtual image in which cigarette smoke is generated, based on the virtual smoke implementation timepoint.