Virtual Smoke Synchronization via Predictive Distance Monitoring
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Solution Overview
Problem
Existing virtual reality and augmented reality technologies fail to accurately synchronize virtual smoke with real-time user interactions, 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 for synchronized virtual smoke display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual smoke is displayed without predicting the implementation timepoint based on user distance, then the system is simpler to operate, but the synchronization with real-time user actions deteriorates
Solution Approach 1:
The system performs preliminary detection of user approach and predicts the optimal moment for virtual smoke display before the actual inhalation occurs. By detecting when the user approaches within a threshold distance and calculating a predicted implementation timepoint, the system prepares to synchronize virtual smoke with the user's breathing cycle, ensuring accurate timing without requiring complex real-time monitoring during the actual smoke generation moment.
2Reliability
If the electronic device continuously monitors distance to predict smoke timepoint, then the virtual smoke synchronization improves, but the energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic distance detection to identify specific moments when the user approaches within a predetermined threshold. By triggering distance monitoring only when needed (when the user is near) and using the detected interval to predict the smoke timepoint, the system reduces energy consumption while maintaining accurate synchronization with user breathing cycles.
3Ease of operation
If the system waits for actual inhalation detection to display virtual smoke, then the response time is shorter, but the user experience becomes disjointed
Solution Approach 1:
The system performs preliminary detection of user approach and calculates a predicted implementation timepoint before the actual inhalation occurs. By detecting the interval between when the user first approaches the threshold and when they complete the inhalation motion, the system can predict when virtual smoke should appear, ensuring seamless synchronization without waiting for the inhalation to complete, thus eliminating the sense of difference between real and virtual interactions.
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. The method of controlling an electronic device according to an embodiment includes receiving camera data obtained by sensing a hand motion of a user; obtaining pressure sensor data using a pressure sensor; predicting a virtual smoke implementation timepoint based on the camera data and the pressure sensor data; and transmitting a control signal including the virtual smoke implementation timepoint to a device for displaying a virtual image.