Multitouch Data Fusion for Electronic Devices
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Solution Overview
Problem
Existing multi-touch sensitive input devices operate independently of other input devices, lacking synergy that could enhance input operations and user experience.
Innovation Solution
The concept of MT data fusion, which combines data from independent sensing modalities with multi-touch chording and movement data to improve the operation and use of electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple input devices are operated independently, then each device can function with its own processing logic, but there is no synergy between them and input operations are not optimized
Solution Approach 1:
The patent combines data from multiple independent sensing modalities (multi-touch, accelerometer, gyroscope, magnetometer) into a unified input processing system. The sensor fusion module integrates these separate data streams to create coordinated input operations, allowing the system to interpret combined gestures and device orientations for enhanced functionality.
Solution Approach 2:
The input processing system is designed to handle multiple types of input devices and sensing modalities through a universal processing framework. The system can interpret various input combinations (touch gestures, device motion, magnetic field changes) through a common set of processing rules, enabling one system to serve multiple input functions.
2Measurement precision
If data from multiple sensing modalities is combined, then interpretative abilities and ease of use are significantly enhanced, but the system requires complex data fusion processing
Solution Approach 1:
The system performs preliminary processing of individual sensor data streams before fusion, with each sensor type being pre-processed according to its characteristics. This preliminary action organizes the data into standardized formats and identifies key features, making the subsequent fusion process more manageable and efficient.
Solution Approach 2:
The sensor fusion module acts as an intermediary between the multiple independent sensors and the input processing logic. It receives raw data from various sensing modalities, performs the necessary integration and coordination, and outputs unified input commands, simplifying the overall system architecture.
3Productivity
If input operations are streamlined through data fusion, then user efficiency is improved, but the processing requirements and computational load increase
Solution Approach 1:
The system implements partial data fusion by selectively combining sensor data based on the specific input operation being performed. Not all sensors are actively fused for every input type, which reduces unnecessary processing while still achieving the desired input optimization for each specific case.
Data Source
AI summary
A method for performing multi-touch (MT) data fusion is disclosed in which multiple touch inputs occurring at about the same time are received to generating first touch data. Secondary sense data can then be combined with the first touch data to perform operations on an electronic device. The first touch data and the secondary sense data can be time-aligned and interpreted in a time-coherent manner. The first touch data can be refined in accordance with the secondary sense data, or alternatively, the secondary sense data can be interpreted in accordance with the first touch data. Additionally, the first touch data and the secondary sense data can be combined to create a new command.