Robotics & Machine Learning Daily News2024,Issue(Jun.21) :135-139.

Patent Application Titled 'Smart Home Automation Using Multi- Modal Contextual In formation' Published Online (USPTO 20240187687)

在线发表的名为“使用多模态上下文信息的智能家居自动化”的专利申请(USPTO 20240187687)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :135-139.

Patent Application Titled 'Smart Home Automation Using Multi- Modal Contextual In formation' Published Online (USPTO 20240187687)

在线发表的名为“使用多模态上下文信息的智能家居自动化”的专利申请(USPTO 20240187687)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-根据来自华盛顿特区的新闻报道来源,由NewsRx记者提出的专利申请,Inve Ntors Chandra,阿什温(加利福尼亚州圣克拉拉);Chung,David Ho Suk(Rancho Palos诉埃尔德斯,加利福尼亚州,美国);Ortega Pena,Andres Leonardo de Jes在2024年的J une 6日在线提供。本专利申请没有受让人。记者从发明者提供的背景资料中得到以下引述:“智能电视正在世界各地越来越多的家庭中使用。智能电视通常位于家庭的中心,并具有大屏幕。因此,智能电视正成为智能设备视觉信息、配置和自动化的首选枢纽。例如,"智能电视可以用来支持用户任务的初始化和监控,实现智能家居自动化功能."

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Chandra, Ashwin (Santa Clara, CA, US); Chung, David Ho Suk (Rancho Palos V erdes, CA, US); Ortega Pena, Andres Leonardo de Jesus (San Jose, CA, US); Yoon, Suk-Un (Suwon-si, KR), filed on December 1, 2022, was made available online on J une 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Smart televisions are being used in more and more households across the world. Smart televisions are often centrally-located within household s and have large display screens. As a result, smart televisions are becoming th e preferred hub for visual information, configuration, and automation of smart h ome devices. For example, smart televisions can be used to support user task ini tiation and monitoring for smart home automation functions."

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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