18563482. SIGNAL EVALUATION METHOD simplified abstract (MERCEDES-BENZ GROUP AG)

From WikiPatents
Jump to navigation Jump to search

SIGNAL EVALUATION METHOD

Organization Name

MERCEDES-BENZ GROUP AG

Inventor(s)

[[:Category:Sebastian M�rz of Sindelfingen (DE)|Sebastian M�rz of Sindelfingen (DE)]][[Category:Sebastian M�rz of Sindelfingen (DE)]]

Jürgen Oehmen of Karlsruhe (DE)

Matthias Winkler of Lichtenwald (DE)

SIGNAL EVALUATION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18563482 titled 'SIGNAL EVALUATION METHOD

Simplified Explanation:

The patent application describes a method for evaluating the signals of inputs made by a finger on a touch-sensitive capacitive operating element. The system calculates the finger position based on sensor strokes of individual capacitive sensors and determines whether to output the finger position based on preset criteria.

  • The system calculates the finger position based on sensor strokes of capacitive sensors.
  • The finger position is not output if the difference between the maximum and minimum sensor stroke is below a preset value or smaller than the error tolerance of the sensors.
  • The finger position is output if the difference between the maximum and minimum sensor stroke is above a preset value and if the sensor stroke of the sensor closest to the detected finger position is below a second preset value.

Key Features and Innovation:

  • Evaluation of signals from a touch-sensitive capacitive operating element.
  • Calculation of finger position based on sensor strokes.
  • Criteria for determining when to output the finger position.

Potential Applications:

This technology could be used in touch-sensitive devices such as smartphones, tablets, and touchscreens in various industries including consumer electronics, automotive, and healthcare.

Problems Solved:

This technology addresses the need for accurate finger position detection on touch-sensitive devices and helps improve user experience by ensuring precise input recognition.

Benefits:

  • Enhanced accuracy in detecting finger positions.
  • Improved user interaction with touch-sensitive devices.
  • Potential for increased efficiency and productivity in various applications.

Commercial Applications:

Potential commercial applications include the integration of this technology in smartphones, tablets, interactive kiosks, and other touch-sensitive devices to enhance user experience and functionality.

Questions about the Technology: 1. How does this technology improve user experience on touch-sensitive devices? 2. What are the key factors that determine when the finger position is output by the system?


Original Abstract Submitted

Signal of inputs made by a finger on a touch-sensitive capacitive operating element are evaluated by calculating a finger position from sensor strokes of individual capacitive sensors. The calculated finger position is not output if a difference between the maximum and minimum sensor stroke of the sensors is smaller than a preset value or smaller than the error tolerance of the sensors. The finger position is output if the difference between the maximum and minimum sensor stroke of the sensors is greater than the first preset value and if the sensor stroke of a sensor closest to the detected finger position at the edge of the touch-sensitive capacitive operating element is smaller than a second preset value.