Smart IOT driven system of multimodal emotion recognition system using deep learning /
Title
Smart IOT driven system of multimodal emotion recognition system using deep learning /
Subject
Computer Science
Description
Patent Number: 202241059619, Applicant: Dr.C.Rohith Bhat.
Signals received by one or more sensors and processed by a processor can contain features such as one or more audio, visual, linguistic, and physical features. One or more machine learning algorithms may be used to assess the audio, visual, linguistic, and bodily data, and the results may be used to infer an individual's emotional state. The most recent multimodal speech emotion identification techniques, with an emphasis on audio, text, and visual data. We offer a fresh, descriptive classification of approaches based on how they manage the dynamics of intra- and intramodality in the time dimension.
Signals received by one or more sensors and processed by a processor can contain features such as one or more audio, visual, linguistic, and physical features. One or more machine learning algorithms may be used to assess the audio, visual, linguistic, and bodily data, and the results may be used to infer an individual's emotional state. The most recent multimodal speech emotion identification techniques, with an emphasis on audio, text, and visual data. We offer a fresh, descriptive classification of approaches based on how they manage the dynamics of intra- and intramodality in the time dimension.
Creator
Rajavel, Rajkumar.
Publisher
Intellectual Property India
Date
2022
Language
English
Type
Patent
Collection
Citation
Rajavel, Rajkumar., “Smart IOT driven system of multimodal emotion recognition system using deep learning /,” CHRIST (Deemed To Be University) Institutional Repository, accessed September 20, 2024, https://archives.christuniversity.in/items/show/2801.