公开(公告)号：US20230012223A1

公开(公告)日：2023-01-12

申请号：US17947037

申请日：2022-09-16

Applicant: Apple Inc.

Inventor： Brian T. Gleeson ,  Brigit E. Lamberson ,  Camille Moussette ,  Madeleine S. Cordier ,  Megan A. McClain ,  Michael J. Beyhs ,  Thayne M. Miller ,  Jacob L. Matlick ,  Jean-Pierre M. Mouilleseaux ,  David H. Bloom ,  Miao He ,  Peter C. Tsoi

IPC: G06F3/041 ,  G06F3/01

Abstract: An electronic device with a first off-display input region detects a first portion of an input on the input region. In response to the first portion of the input: when the first portion of the input meets first criteria without a characteristic intensity of the first input increasing above a first intensity threshold, the electronic device provides a first output that indicates a current state of a first attribute of the electronic device without altering the first attribute. The electronic device detects a second portion of the input. In response to the second portion of the input: if the second portion of the first input meets second criteria that require the characteristic intensity of the input increases above the first intensity threshold, the electronic device performs a first operation that alters the first attribute of the electronic device; and otherwise, the electronic device forgoes performing the first operation.

公开(公告)号：US11449802B2

公开(公告)日：2022-09-20

申请号：US16937481

申请日：2020-07-23

Applicant: Apple Inc.

Inventor： Charles Maalouf ,  Shawn R. Scully ,  Christopher B. Fleizach ,  Tu K. Nguyen ,  Lilian H. Liang ,  Warren J. Seto ,  Julian Quintana ,  Michael J. Beyhs ,  Hojjat Seyed Mousavi ,  Behrooz Shahsavari

IPC: G06V10/00 ,  G06N20/00 ,  G06F3/01 ,  G06F3/04883 ,  G06K9/62 ,  G06N3/08

Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.