Multi-Dimensional Touch Input Vector for Multi-Object Detection

The patent transitions from detecting only touch position (2D coordinates) to detecting multiple dimensions including position, size, orientation, and convex contour of each touch object. By adding these additional dimensions, the system can distinguish between multiple touch objects that would otherwise appear as phantom points in traditional 2D detection, resolving the contradiction between measurement precision and quantity of detectable objects.

The patent segments the touch input into multiple independent touch objects, each with its own set of properties (position, size, orientation, convex contour). Instead of treating the touch surface as a single detection field that produces phantom points, the system divides and conquers by identifying and characterizing each finger or object separately, enabling accurate multi-touch detection.

The patent creates a universal touch input framework that can handle multiple types of interactions simultaneously - single touch, multi-touch, single-user, and multi-user operations. The multi-dimensional touch input vector structure serves multiple functions: identifying individual objects, tracking their positions, determining their sizes, and recognizing their orientations. This multi-functional approach enables the system to adapt to various interaction scenarios without requiring separate systems for each case.

The patent expands the touch input vector from a simple 2D position coordinate to a multi-dimensional structure that includes position, size, orientation, and convex contour properties. This dimensional expansion allows the system to distinguish between multiple users and multiple fingers, transforming the input structure to support complex multi-user interactions while maintaining a unified processing framework.

The patent performs preliminary analysis of touch objects by computing their convex contours and spatial properties directly from the touch input data. By pre-processing the touch data to extract meaningful features such as object boundaries, sizes, and orientations, the system prepares enriched information in advance that can be quickly utilized for sophisticated control operations, thereby improving interaction efficiency despite the increased data structure complexity.

The patent introduces intermediate computational steps that process raw touch position data into meaningful touch object properties. The convex contour computation and spatial property analysis act as intermediary processes that transform simple position coordinates into rich touch characteristics. These intermediate representations serve as a bridge between the simple sensor input and the complex control requirements, enabling sophisticated interactions without overwhelming the system.