SRS Real-Time Emotion Recognition System based on Text and Audio data

Emotion recognition is the process of recognizing and identifying human emotion from both facial and verbal expressions. Emotions have a huge impact on our daily lives. They are a big part of the human experience, and inevitably they affect our decision-making. We tend to repeat actions that make us feel happy, but we avoid those that make us angry or sad. Recognizing these emotions in making a decision has always been a challenging task. For this purpose, a real-time emotion recognition system has been developed in the past and it is an active field of research for the past several decades. Mostly real-time emotion recognition system uses facial expression from video or images, spoken expression from audio, and written expressions from text to recognize emotions. In this project, students are required to recognize emotions using the collection of text documents or the comments posted on social media platforms like Twitter, Instagram, Facebook, etc., and the audio data. For that purpose, students can work on any publicly available datasets containing audio data or text data, or both of these data.

Scope of Project Real-Time Emotion Recognition System based on Text and Audio data:

Project scope is the part of project planning that involves determining and documenting a list of specific project  goals, deliverables, tasks, costs and deadlines. Defining the project scope involves adopting a clear vision and an agreement on the outcomes of the project. This allows each milestone of the project to stay on target

Functional and Non Functional Requirements of Real-Time Emotion Recognition System based on Text and Audio data:

Functional Requirements of Implementation of Real-Time Emotion Recognition System based on Text and Audio data:

A functional requirement shows that what the system must do what services the system present to users. It describes a software system or its component. A function is nothing but inputs to the software system, its behavior, and outputs

NON-FUNCTIONAL REQUIREMENTS Implementation of Real-Time Emotion Recognition System based on Text and Audio data:

• Application is user friendly.
• Application Perform fast manipulation and calculations.
• Application is adaptable.
• Application will be able to work on all types of operating systems.
• Application will be capable to handle multi user activities simultaneously.
• There will be back up system to face any problem in system
• All the options should be learning friendly I.e. member could easily understand what that option will do if he clicked on it.
• Response Time is very awesome.

Some others are:

• Accessibility
• Maintainability
•  Fault Tolerance.
• Security
• Robustnes

Use Case Diagram of Implementation of Real-Time Emotion Recognition System based on Text and Audio data

a use case diagram can summarize the details of your system’s users   and their interactions with the system. Scenarios in which your system or application interacts with organizations, people, or external systems. Goals that your system or application helps those entities achieve

Usage Scenarios Implementation of Real-Time Emotion Recognition System based on Text and Audio data:

A brief user story explaining who is using the system and what they are trying to accomplish. A Scenario is made up of a number of simple, discrete steps that are designated as being performed by either the System or a  User.

ADOPTED METHODOLOGY for Real-Time Emotion Recognition System based on Text and Audio data:

The adopted methodology for this project is vu process model. Vu process model is a combination of water-fall model and spiral model. This combination has many advantages. This model has high risk analysis so avoidance of risk would be achieved. This model is easy to understand and use. Now first we will discuss the Water-fall model.

Work Plan of Real-Time Emotion Recognition System based on Text and Audio data:

Work plan

for complete srs contact us

watsapp: 03469806607