The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 21, 2023

Filed:

Jul. 02, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventor:

Robert Tartz, San Marcos, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 3/113 (2006.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/0295 (2006.01); A61B 5/0533 (2021.01); A61B 5/16 (2006.01); A61M 21/00 (2006.01); B60W 30/02 (2012.01); B60W 40/08 (2012.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); B60W 60/00 (2020.01); G05D 1/00 (2006.01); G06F 3/01 (2006.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
B60W 60/0013 (2020.02); A61B 5/02055 (2013.01); A61B 5/165 (2013.01); A61B 5/6814 (2013.01); A61B 5/6825 (2013.01); A61B 5/7278 (2013.01); A61B 5/7282 (2013.01); B60W 40/08 (2013.01); G05D 1/0088 (2013.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 3/113 (2013.01); A61B 3/14 (2013.01); A61B 5/01 (2013.01); A61B 5/024 (2013.01); A61B 5/0295 (2013.01); A61B 5/0533 (2013.01); A61M 21/00 (2013.01); A61M 2205/3303 (2013.01); B60W 2420/42 (2013.01); B60W 2540/22 (2013.01); B60W 2540/221 (2020.02); B60W 2540/225 (2020.02); G05D 2201/0213 (2013.01); G06F 3/013 (2013.01);
Abstract

Techniques described herein include detecting a degree of motion sickness experienced by a user within a vehicle. A suitable combination of physiological data (heart rate, heart rate variability parameters, blood volume pulse, oxygen values, respiration values, galvanic skin response, skin conductance values, and the like), eye gaze data (e.g., images of the user), vehicle motion data (e.g., accelerometer, gyroscope data indicative of vehicle oscillations) may be utilized to identify the degree of motion sickness experienced by the user. One or more autonomous actions may be performed to prevent an escalation in the degree of motion sickness experienced by the user or to ameliorate the degree of motion sickness currently experienced by the user.


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