Multimodal Emotion Recognition System Architecture

Vocabulary flashcards detailing the high-level architecture, pipeline flow, and primary components of the Multimodal Emotion Recognition System.

Multimodal Emotion Recognition System High-Level Architecture

An end-to-end system workflow that connects a Client/Presentation Web Dashboard with a FastAPI Backend incorporating API & Security, Emotion Inference & Fusion, and Response & Privacy Handling.

Web Dashboard

The Client / Presentation layer interface responsible for handling input, displaying results, and providing visualizations.

FastAPI Backend

The backend framework that encapsulates API & Security, Emotion Inference & Fusion, and Response & Privacy Handling.

API & Security

The FastAPI Backend component responsible for request handling and validation of incoming client data.

Multimodal Analysis

The processing component within Emotion Inference & Fusion that analyzes text, audio, and image inputs.

Weighted Fusion

The fusion component that synthesizes the multimodal analysis from text, audio, and image inputs to generate unified emotion scores.

Response & Privacy Handling

The backend component tasked with returning results to the client, handling temporary media, and ensuring no persistent raw-media storage is maintained.