公开(公告)号：US12284078B2

公开(公告)日：2025-04-22

申请号：US18194112

申请日：2023-03-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： Satyajit Anand ,  Mayank Singh

IPC: G16Y20/20 ,  G16Y20/10 ,  G16Y20/40 ,  G16Y40/30 ,  H04L41/0816 ,  H04L41/16 ,  H04L43/0817 ,  H04L67/12

Abstract: Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

公开(公告)号：US11575573B2

公开(公告)日：2023-02-07

申请号：US17545401

申请日：2021-12-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Satyajit Anand ,  Mayank Singh

IPC: H04L41/0816 ,  H04L67/12 ,  G16Y20/40 ,  G16Y40/30 ,  G16Y20/20 ,  H04L41/16 ,  H04L43/0817 ,  G16Y20/10

Abstract: Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

公开(公告)号：US11621890B2

公开(公告)日：2023-04-04

申请号：US17545401

申请日：2021-12-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Satyajit Anand ,  Mayank Singh

IPC: H04L41/0816 ,  H04L67/12 ,  G16Y20/40 ,  G16Y40/30 ,  G16Y20/20 ,  H04L41/16 ,  H04L43/0817 ,  G16Y20/10

Abstract: Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

公开(公告)号：US11831460B2

公开(公告)日：2023-11-28

申请号：US17889669

申请日：2022-08-17

Applicant: Samsung Electronics Co., Ltd.

Inventor： Satyajit Anand ,  Mayank Singh ,  Ajit S Bopardikar

IPC: H04L65/80 ,  H04L12/28 ,  H04L67/125 ,  H04W24/02

CPC classification number: H04L12/2803 ,  H04L65/80 ,  H04L67/125 ,  H04W24/02

Abstract: A method for enhancing a Quality of Experience (QoE) index, by a wearable device, for a user in an Internet of things (IoT) network comprising a plurality of IoT devices is provided. The method includes monitoring the QoE index of the user in the IoT network, detecting a drop in the QoE index of the user, determining whether the dropped QoE index is less than a QoE threshold, in response to determining that the dropped QoE index is less than the QoE threshold, determining at least one IoT device from the plurality of IoT devices that is responsible for the drop in the QoE index of the user using an Artificial intelligence (AI) model, and controlling the IoT device(s) to raise the QoE index of the user above the QoE threshold.