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公开(公告)号：US20220116743A1
公开(公告)日：2022-04-14
申请号：US17070439
申请日：2020-10-14
Applicant: Lyft, Inc.
Inventor： Alya Abbott , Alexander Wesley Contryman , Devjit Chakravarti , Julien van Hout , Zhan Zhang , Gautam Kedia
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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公开(公告)号：US20250024228A1
公开(公告)日：2025-01-16
申请号：US18901945
申请日：2024-09-30
Applicant: Lyft, Inc.
Inventor： Alya Abbott , Alexander Wesley Contryman , Devjit Chakravarti , Julien van Hout , Zhan Zhang , Gautam Kedia
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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公开(公告)号：US12133139B2
公开(公告)日：2024-10-29
申请号：US17070439
申请日：2020-10-14
Applicant: Lyft, Inc.
Inventor： Alya Abbott , Alexander Wesley Contryman , Devjit Chakravarti , Julien van Hout , Zhan Zhang , Gautam Kedia
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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