公开(公告)号：US20250089016A1

公开(公告)日：2025-03-13

申请号：US18806172

申请日：2024-08-15

Applicant: Apple Inc.

Inventor： Gabrielle A. Belzberg ,  Alexander J. Wiens ,  Halil Ibrahim Basturk ,  Benjamin A. Werner ,  Adam S. Howell ,  Hui Lin ,  Jun Kyu Lee ,  Jack D. Reilly ,  Behrooz Shahsavari ,  Hojjat Seyed Mousavi

IPC: H04W64/00

Abstract: In some implementations, techniques may include at a plurality of times while a user of the first portable device is moving with the first portable device: performing ranging at a respective position with a second device to determine a respective distance, thereby determining a plurality of respective distances, where the second device is stationary; obtaining raw measurements from a motion sensor of the first portable device. In addition, the device may include using the raw measurements at the plurality of times to determine relative positions at the plurality of times, the relative position from an initial position. The techniques may include estimating a second position of the second device that optimizes a loss function that includes differences of the respective distances at the relative positions and the actual distance between the relative positions and the second position.

公开(公告)号：US11758350B2

公开(公告)日：2023-09-12

申请号：US17485212

申请日：2021-09-24

Applicant: Apple Inc.

Inventor： Aditya Sarathy ,  Xiaoyuan Tu ,  Suresh B. Malakar ,  Hui Lin

IPC: H04S7/00 ,  G06F9/448 ,  G06F18/2415

CPC classification number: H04S7/304 ,  G06F9/4498 ,  G06F18/24155 ,  H04S2400/11

Abstract: Embodiments are disclosed for user posture transition detection and classification using a linked biomechanical model. In an embodiment, a method comprises: obtaining motion data from a headset worn by a user; selecting features of a linked biomechanical model based on a current posture state; determining at least one probability that a posture transition occurred based on an output of a classifier, where the output of the classifier is based on the selected features and the motion data; determining a posture transition based on the at least one probability; and performing at least one action based on detection of the posture transition.

公开(公告)号：US20230100254A1

公开(公告)日：2023-03-30

申请号：US17485212

申请日：2021-09-24

Applicant: Apple Inc.

Inventor： Aditya Sarathy ,  Xiaoyuan Tu ,  Suresh B. Malakar ,  Hui Lin

IPC: H04S7/00 ,  G06K9/62 ,  G06F9/448

Abstract: Embodiments are disclosed for user posture transition detection and classification using a linked biomechanical model. In an embodiment, a method comprises: obtaining motion data from a headset worn by a user; selecting features of a linked biomechanical model based on a current posture state; determining at least one probability that a posture transition occurred based on an output of a classifier, where the output of the classifier is based on the selected features and the motion data; determining a posture transition based on the at least one probability; and performing at least one action based on detection of the posture transition.