Measurement application device, and method

Patent metadata

Field	Value
Publication number	US-2025085843-A1
Application number	US-202418797837-A
Country	US
Kind code	A1
Filing date	Aug 8, 2024
Priority date	Sep 12, 2023
Publication date	Mar 13, 2025
Grant date	—

Abstract

The present disclosure provides a measurement application device comprising a signal processing module configured to at least one of generate measurement signals, and acquire measurement signals, a user interface configured to acquire gesture-based user input, and a processor coupled to the user interface, and executing a machine learning algorithm, wherein the machine learning algorithm is configured to analyze received gesture-based user input, and to output respective control information for controlling the signal processing module or configuration information for configuration of the signal processing module. Further, a respective computer implemented method is provided.

First claim

1 . A measurement application device comprising:
a signal processing module configured to at least one of generate measurement signals, and acquire measurement signals; a user interface configured to acquire gesture-based user input; and a processor coupled to the user interface, and executing a machine learning algorithm, wherein the machine learning algorithm is configured to analyze received gesture-based user input, and to output respective control information for controlling the signal processing module or configuration information for configuration of the signal processing module.

2 . The measurement application device according to claim 1 , wherein the user interface comprises a touchscreen; and
wherein the machine learning algorithm is configured to analyze the gesture-based user input received from a user via the touchscreen.

3 . The measurement application device according to claim 1 , wherein the user interface comprises at least one of a movement sensor, and a camera; and
wherein the machine learning algorithm is configured to analyze the gesture-based user input acquired via the at least one of the movement sensor, and the camera.

4 . The measurement application device according to claim 1 , wherein the machine learning algorithm is configured to output exactly one control information, or exactly one configuration information based on the gesture-based user input.

5 . The measurement application device according to claim 1 , wherein the machine learning algorithm is configured to output at least two suggestions of control information, or configuration information based on the gesture-based user input.

6 . The measurement application device according to claim 5 , wherein the processor is configured to train the machine learning algorithm based on user feedback regarding the suggestions.

7 . The measurement application device according to claim 1 , wherein the processor is configured to output a user request to a user for repeating the gesture-based user input, if the machine learning algorithm calculates a confidence score for the gesture-based user input that is below a predetermined threshold.

8 . The measurement application device according to claim 1 , wherein the machine learning algorithm is configured to output suggestions for at least one control information, or configuration information for association with a gesture-based user input based on the respective gesture-based user input in a configuration operating mode of the processor.

9 . The measurement application device according to claim 8 , wherein, in the configuration operating mode of the processor, the processor is configured to request a user to repeat a gesture-based user input for training the machine learning algorithm.

10 . The measurement application device according to claim 1 , further comprising:
a measurement probe coupled to the signal processing module, wherein the processor is configured to configure the measurement probe based on the configuration information, or control information.

11 . A computer implemented method for operating a measurement application device, the method comprising:
acquiring gesture-based user input; analyzing the gesture-based user input with a machine learning algorithm to generate an analysis result; and outputting control information for controlling a signal processing module of the measurement application device, or configuration information for configuration of the signal processing module based on the analysis result.

12 . The computer implemented method according to claim 11 , wherein the gesture-based user input is acquired via a touchscreen.

13 . The computer implemented method according to claim 11 , wherein the gesture-based user input is acquired via at least one of a movement sensor, and a camera.

14 . The computer implemented method according to claim 11 , wherein the machine learning algorithm outputs exactly one control information, or exactly one configuration information based on the gesture-based user input.

15 . The computer implemented method according to claim 11 , wherein the machine learning algorithm outputs at least two suggestions of control information, or configuration information based on the gesture-based user input, and wherein the machine learning algorithm is trained based on user feedback regarding the at least two suggestions.

16 . The computer implemented method according to claim 11 , wherein a user request for repeating the gesture-based user input is provided to a user if the machine learning algorithm calculates a confidence score for the gesture-based user input that is below a predetermined threshold.

17 . The computer implemented method according to claim 11 , wherein the machine learning algorithm outputs suggestions for at least one control information, or configuration information for association with a gesture-based user input based on the gesture-based user input in a configuration operating mode.

18 . The computer implemented method according to claim 17 , wherein in the configuration operating mode a user is requested to repeat a gesture-based user input for training the machine learning algorithm.

19 . The computer implemented method according to claim 11 , further comprising configuring a measurement probe that is coupled to the measurement application device based on the configuration information, or control information.

Assignees

• Rohde & Schwarz

Inventors

• Schaefer Andrew

Classifications

• G01R23/16

  Spectrum analysis; Fourier analysis · CPC title

• G01R13/029

  Software therefor · CPC title

• G01R13/0209 Primary

  in numerical form · CPC title

• G06F3/0484

  for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

• G06N3/08

  Learning methods · CPC title