Methods, systems, and media for ambient background noise modification based on mood and/or behavior information

Applicant

Google

Auteurs

N/A

Titre

Methods, systems, and media for ambient background noise modification based on mood and/or behavior information

Patent Number

US2023092307

Publication Date

2023

uri

https://patents.google.com/patent/US20230092307

Description

Methods, systems, and media for ambient background noise modification are provided. In some implementations, the method comprises: identifying at least one noise present in an environment of a user having a user device, an activity the user includes currently engaged in, and a physical or emotional state of the user; determining a target ambient noise to be produced in the environment based at least in part on the identified noise, the activity the user is currently engaged in, and the physical or emotional state of the user; identifying at least one device associated with the user device to be used to produce the target ambient noise; determining sound outputs corresponding to each of the one or more identified devices, wherein a combination of the sound outputs produces an approximation of one or more characteristics of the target ambient noise; and causing the one or more identified devices to produce the determined sound outputs.

keywords

Mood

Domaine de recherche

Human-Computer Interaction & User Experience

Sentiment Analysis

Social Media and User Engagement

Software Development

Données collectées (type source)

Text

Audio

Image

Video

Media Content

Concepts clés

Emotional state

Méthode

Emotional state of the user can be predicted using information from various data sources (e.g., contextual data, social data, general data, etc.) including, among other things, content and information published by the user on a social networking service, biometric and location data, mobile device data, and any other suitable data

Dispositif

Device

Objectifs du brevet

Personalize/Improve with emotion information