IP Library › Granted Patent US 12,743,203
Granted Patent B2
US 12,743,203 · App. 18/832,717 · Granted Sep 22, 2026

Method for evaluating operating gestures on a touch-sensitive input surface and corresponding device

Inventor: Sebastian Mörz (Sindelfingen, DE)
Assignee: MERCEDES-BENZ GROUP AG
G06F3/04883B60K35/10B60K35/22B60K35/81G06F3/0418
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Quick Facts
Patent No.
US 12,743,203
App. No.
18/832,717
Granted
Sep 22, 2026
Kind
B2
Abstract

Operating gestures on a touch-sensitive input surface for controlling a display element are evaluated using characteristic data belonging to an operating gesture from a point in time t 1 to a point in time tend. Control signals are continuously determined from the input positions comprised by the characteristic data of POS(t 1 ) to POS(tend) for controlling the display element on the display unit. Characteristic data belonging to the operating gesture is evaluated and the gesture classified regarding a degree of error by a pre-trained algorithm trained. If the degree of error lies below a predetermined threshold value, then the determined control signals are conveyed to the display unit. If the degree of error in a period of time from t 2 to t 3 with t 1 <t 2 <t 3 ≤tend lies above the predetermined threshold value, conveying of the control signals determined in the period of time from t 2 to t 2 ′≤t 3 is suspended.

Claims (20)

1 . A method for evaluating operating gestures on a touch-sensitive input surface to control a display element configured to select an object on a display unit assigned to the touch-sensitive input surface, the method comprising:

determining characteristic data belonging to an operating gesture in a period of time from a point in time t 1 until a point in time t_end, wherein t 1 <t_end;

continuously determining control signals having displacement vectors from input positions in the characteristic data of POS(t 1 ) to POS(t_end) to control the display element on the display unit;

evaluating, in parallel with the continuously determining control signals having the displacement vectors, the characteristic data belonging to the operating gesture and classifying the operating gesture regarding a degree of error using a pre-trained algorithm;

conveying the determined control signals to the display unit when the degree of error lies below a predetermined threshold value; and

suspending the conveying of the control signals, when the degree of error in a period of time from t 2 to t 3 is above the predetermined threshold value, during a period of time from t 2 to t 3 , wherein t 1 <t 2 <t 3 ≤t_end.

2 . The method of claim 1 , wherein the pre-trained algorithm is trained in advance with operating gestures and is a neural network.

3 . The method of claim 1 , wherein the characteristic data for the classifying of the operating gesture additionally comprises a finger contact surface, a finger contact force, or finger movement speed.

4 . The method of claim 1 , wherein the conveying of the control signals in the period of time from t 2 to t 3 is only suspended in a period of time from t 2 to t 2 ′ when a timer expires at t 2 ′, wherein t 2 ′<t 3 .

5 . The method of claim 1 , wherein the conveying of the control signals in the period of time from t 2 to t 3 is only suspended in a period of time from t 2 to t 2 ′ based on the degree of error, wherein t 2 ′<t 3 , and wherein a longer a time period from t 2 to t 2 ′ in which the conveying of the control signals is suspended, a greater a degree of error of the operating gesture, wherein t 2 ′≤t 3 .

6 . The method of claim 1 , wherein, in addition to the degree of error, the pre-trained algorithm classifies a movement direction based on the characteristic data.

7 . The method of claim 6 , wherein when the determined degree of error is above the predetermined degree of error and the movement direction output by the pre-trained algorithm corresponds to the movement direction determined from the input positions POS(t 1 ) to POS(t_end), the period of time for suspending the conveying of the control signals from t 2 to t 2 ′ is reduced.

8 . The method of claim 6 , wherein when the movement direction output by the pre-trained algorithm is unambiguous, the movement direction determined from the input positions POS(t 1 ) to POS(t_end) is overwritten by the movement direction recognized by the pre-trained algorithm.

9 . A device, comprising:

an evaluating device configured to evaluate operating gestures on a touch-sensitive input surface configured to control a display element to select an object on a display unit allocated to the input surface, wherein the evaluating device is configured to

determine characteristic data belonging to an operating gesture in a period of time from a point in time t 1 until a point in time t_end, wherein t 1 <t_end;

continuously determine control signals having displacement vectors from input positions in the characteristic data of POS(t 1 ) to POS(t_end) to control the display element on the display unit;

evaluate, in parallel with the continuously determining control signals having the displacement vectors, the characteristic data belonging to the operating gesture and classifying the operating gesture regarding a degree of error using a pre-trained algorithm;

convey the determined control signals to the display unit when the degree of error lies below a predetermined threshold value; and

suspend the conveying of the control signals, when the degree of error in a period of time from t 2 to t 3 is above the predetermined threshold value, during a period of time from t 2 to t 3 , wherein t 1 <t 2 <t 3 ≤t_end.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 7, 2024
From: MÖRZ, SEBASTIAN
To: MERCEDES-BENZ GROUP AG
Reel/Frame 068204/0566 →
Priority Claims (1)
DE 10 2022 000 261.2 · Jan 25, 2022 · national
Continuity (1)
Related Publication 20250156065A1 · May 15, 2025
References Cited (21)
US 8970525B1 · de los Reyes · 2015 [cited by applicant]
US 11995298B1 · Rubinstein · 2024 [cited by examiner]
US 20070152976A1 · Townsend · 2007 [cited by examiner]
US 20130009896A1 · Zaliva · 2013 [cited by applicant]
US 20130033448A1 · Yano · 2013 [cited by examiner]
US 20170371486A1 · Neiswander · 2017 [cited by examiner]
US 20190391723A1 · Wang · 2019 [cited by examiner]
US 20200228641A1 · Chen · 2020 [cited by examiner]
US 20200326824A1 · Alonso · 2020 [cited by examiner]
US 20210181919A1 · Agarwal · 2021 [cited by examiner]
US 20210294473A1 · Hornang · 2021 [cited by applicant]
US 20210306569A1 · Hatanaka · 2021 [cited by examiner]
US 20230161552A1 · Bao · 2023 [cited by examiner]
EP 2876526A1 · 2015 [cited by applicant]
EP 3117293B1 · 2020 [cited by applicant]
KR 101836742B1 · 2018 [cited by applicant]
KR 1020190104101A · 2019 [cited by applicant]
Office Action dated Sep. 16, 2025 in related/corresponding KR Application No. 2024-7018154. [cited by applicant]
International Search Report and Written Opinion mailed Mar. 14, 2023 in related/corresponding International Application No. PCT/EP2022/084738. [cited by applicant]
Office Action created Jan. 18, 2023 in related/corresponding DE Application No. 10 2022 000 261.2. [cited by applicant]
Office Action dated Aug. 4, 2023 in related/corresponding EP Application No. 22 830 815.1. [cited by applicant]