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:
Oct. 29, 2024

Filed:

Oct. 14, 2020
Applicant:

Lyft, Inc., San Francisco, CA (US);

Inventors:

Alya Abbott, San Francisco, CA (US);

Alexander Wesley Contryman, San Francisco, CA (US);

Devjit Chakravarti, Orinda, CA (US);

Julien van Hout, San Francisco, CA (US);

Zhan Zhang, Mountain View, CA (US);

Gautam Kedia, Belmont, CA (US);

Assignee:

Lyft, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 4/02 (2018.01); H04W 4/029 (2018.01); H04W 4/38 (2018.01);
U.S. Cl.
CPC ...
H04W 4/026 (2013.01); H04W 4/027 (2013.01); H04W 4/029 (2018.02); H04W 4/38 (2018.02);
Abstract

The present application discloses systems, methods, and computer-readable media that can utilize a handheld-movement-detection model to detect whether a computing device is moved by hand or otherwise by a person within a vehicle. For instance, the disclosed systems can receive movement data from a computing device and generate filtered signals. Subsequently, the disclosed systems can utilize the handheld-movement-detection model to convert the filtered signals into a binary movement-classification signal (based on a signal threshold) to indicate the presence of handheld movement of a device. Furthermore, the disclosed systems can also utilize movement data from a computing device to detect whether the computing device is mounted and/or to detect vehicular movements. Additionally, the disclosed systems can configure (or adjust) parameters of the handheld-movement-detection model by utilizing movement data from a computing device that is secured to a vehicle and movement data of a computing device that is moveable within the vehicle.


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