Remote Motion Replay Control for Real-Time Immersive Devices
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Solution Overview
Problem
Current technologies lack an effective method to capture and replay motion data from remote source-motion objects, such as vehicles or animals, in real-time, for applications like gaming and e-sports, where immersive experiences are desired but challenging to achieve.
Innovation Solution
A system that captures motion data from source-motion objects using sensors, processes it into a suitable format, and transmits it to a target-motion device via a server, allowing the target-device to replay the motion data using actuators and synchronized audio/video feeds, enabling users to experience the motion as if they were in the source-object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion data is captured and transmitted in real-time from source-motion objects, then immersive experience is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments motion data into distinct categories (position, velocity, acceleration, orientation) and processes each type separately through dedicated processing modules. This segmentation allows the complex data stream to be handled in manageable portions, reducing overall system complexity while maintaining real-time processing capability for immersive experiences.
Solution Approach 2:
A server acts as an intermediary between source-motion objects and target-motion devices, handling the complex tasks of data collection, processing, and distribution. This intermediary architecture offloads processing complexity from individual devices while enabling real-time motion replay for immersive experiences.
2Adaptability or versatility
If motion data is processed and converted between formats in real-time, then data compatibility is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes and converts motion data into multiple format variants at the source, storing these pre-converted formats for rapid retrieval. This preliminary action eliminates the need for real-time format conversion during playback, maintaining data compatibility while minimizing processing time delays.
Solution Approach 2:
The system dynamically adjusts data format parameters based on the specific requirements of target devices, converting only the necessary parameters rather than entire data sets. This selective parameter transformation maintains compatibility across different device types while reducing overall processing time and computational load.
Data Source
AI summary
A computerized method for controlling a target-motion device based on motion of a first source-motion object. The method has the steps of: capturing motion-related data at the first source-motion object, the motion-related data representing the mootion of the first source-motion object; processing, at the first source-motion object, the motion-related data by converting captured motion-related data from a first format to a second format; transmitting the processed motion-related data to a server; forwarding, by the server, the processed motion-related data to the target-motion device; and moving at least a portion of the target-motion device based on at least the processed motion-related data.