SIMCAST Motion Capture Platform Using Computer Vision
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Solution Overview
Problem
Existing 360-degree treadmills are large, stationary, and not portable, requiring significant space and relying on pressure-activated switches for movement, which limits their practicality and flexibility for various applications.
Innovation Solution
A smart individual motion capture and spatial translation (SIMCAST) system using computer vision and machine learning to automatically translate user motion into real-time floor movement, enabling portable, lightweight, and infinite directional travel with motor-controlled wheels and lubricant fluid for smooth 360-degree movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure-activated switches are used for movement control, then the treadmill can detect user steps, but the platform must be large to accommodate switch activation distance and latency
Solution Approach 1:
The patent replaces pressure-activated mechanical switches with optical sensors and computer vision technology. Cameras mounted on the platform structure capture user motion, and machine learning algorithms process this visual data to detect steps and predict movement direction, eliminating the need for large physical switch activation zones
Solution Approach 2:
The system uses machine learning to predict user movement direction before the user actually steps in that direction. By analyzing current motion patterns and anticipating future movements, the platform can begin translating motion in the predicted direction proactively, reducing the latency and space needed for switch activation
2Adaptability or versatility
If 360-degree treadmills are designed for omnidirectional movement, then they provide full directional control, but they become very large and tall requiring several steps to reach platform height
Solution Approach 1:
The treadmill platform is divided into multiple independent translation modules, each capable of movement in specific directions. These modular segments can be arranged in various configurations, allowing omnidirectional capability while keeping each individual module compact and accessible
Solution Approach 2:
The patent transitions from vertical elevation (requiring users to climb steps to reach the platform) to horizontal translation capability. The platform moves laterally to position itself under the user, eliminating the need for vertical access while maintaining full directional control
3Stability of the object's composition
If 360-degree treadmills are designed as stationary installations, then they provide stable support, but they cannot be easily moved or are very large to be portable
Solution Approach 1:
The treadmill employs dynamic stabilization through active control systems. Sensors continuously monitor platform position and orientation, and motor controllers adjust the translation modules in real-time to maintain stability during operation, allowing the use of lighter, more portable structures without sacrificing operational stability
Solution Approach 2:
The patent introduces active control systems and sensor feedback loops as intermediaries between the user's movements and the platform's response. This intermediary control layer enables the platform to compensate for its lighter weight and smaller size by actively adjusting its position and orientation to maintain stability
4Ease of operation
If switch-controlled floor movement is used, then the system can respond to user input, but there is latency in response after several steps
Solution Approach 1:
The machine learning system continuously analyzes user motion patterns and predicts future movement directions before the user actually executes them. This predictive capability allows the platform to begin translating motion in advance, eliminating the latency associated with waiting for switch activation after several steps
Solution Approach 2:
The system implements continuous feedback loops where optical sensors and cameras constantly monitor user position and velocity, and this real-time data feeds into the machine learning algorithms. This closed-loop feedback enables the system to dynamically adjust its response timing and reduce latency by anticipating user intentions based on ongoing motion analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The SIMCAST system provides a compact, portable, and versatile motion translation platform that can be used for diverse applications such as virtual reality gaming, education, and medical analysis, allowing for immersive and precise control of user motion in a digital environment while ensuring user safety.
Implementation Method 1
an intervening layer of lubricant fluid between the treadmill motion surface and the hollow vessel
Data Source
AI summary
A motion capture and spatial translation system comprises an infinite directional travel platform (IDTP) that includes a hollow vessel having an elliptical lower body and a flat upper body, a treadmill motion surface encapsulating the hollow vessel, an intervening layer of lubricant fluid between the treadmill motion surface and the hollow vessel, and a port integrated within the vessel to define a channel for movement of the lubricant fluid from a top to a bottom of the vessel. A host frame supports the IDTP and anchors motor-controlled wheels that induce movement of the treadmill motion surface relative to the hollow vessel. Computer vision enabled cameras capture direction, speed, and acceleration of foot movements of the user to anticipate the user's path of travel and activates and controls the treadmill motion surface in real time.