公开(公告)号：US12056285B2

公开(公告)日：2024-08-06

申请号：US17823870

申请日：2022-08-31

Applicant: Apple Inc.

Inventor： Kaan E. Dogrusoz ,  Ali Moin ,  Benjamin J. Grena ,  Erdrin Azemi ,  Joseph Cheng ,  Lia M. Uesato ,  Daniel A. Podhajny

IPC: G06F3/01 ,  A61B5/00 ,  A61B5/279

CPC classification number: G06F3/017 ,  A61B5/279 ,  A61B5/681

Abstract: Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.

公开(公告)号：US20240058650A1

公开(公告)日：2024-02-22

申请号：US18451798

申请日：2023-08-17

Applicant: Apple Inc.

Inventor： Matthias R. Hohmann ,  Andrea Eppy ,  Erdrin Azemi

IPC: A63B24/00 ,  A63B71/06

CPC classification number: A63B24/0062 ,  A63B71/0686 ,  A63B2024/0065 ,  A63B2024/0068 ,  A63B2071/0625

Abstract: Methods, systems and/or computer-implemented instructions are configured to perform or support actions that include: determining a time contribution for each of a set of workout effort zones for a user, wherein each of the set of workout effort zones corresponds to a range of values for a biosignal; determining a timeseries of workout target effort zones for the user based on the target time contributions for the set of workout effort zones; receiving, during a workout time period, real-time biosignal data from a sensor in a wearable electronic device being worn by the user; generating, during the workout time period, an audio, visual, or haptic stimulus based on the real-time biosignal data and a target effort zone in the time series of workout target effort zones; and outputting, during the workout time period, the audio, visual, or haptic stimulus.

公开(公告)号：US20220383189A1

公开(公告)日：2022-12-01

申请号：US17554895

申请日：2021-12-17

Applicant: Apple Inc.

Inventor： Joseph Yitan Cheng ,  Amruta Pai ,  Erdrin Azemi ,  Matthias R. Hohmann

IPC: G06N20/00 ,  G06N5/02

Abstract: Methods and systems are provided for predicting cognitive load. A computing device receives sensor measurements from sensors. The sensor measurements correspond to characteristics of a user during the performance of a task. For each sensor, the computing device derives, from the sensor measurements of the sensor, a set of features predictive of the cognitive load of the user; generates, from those features, a self-attention vector that characterizes each feature of the set of features relative to another feature; and defines a feature vector from the features and the self-attention vector. The computing device generates an input feature vector from the feature vector of at least one sensor. The computing device then uses a machine-learning model to generate an indication of the cognitive load of the user during the performance of a task from the feature vector.