Recognize emotions from Voice and Facial Expressions With Emotbot

The software application for “emotion recognition from speech and facial expressions of patients” for use in health care facilities.

Systematic framework to identify various human emotions

A comprehensive framework is employed to identify human emotions, encompassing every stage from feature extraction to classification. Various deep learning tools are utilized throughout this process. The emotion recognition pipeline is detailed in the framework, where emotional speech is segmented into continuous audio signals. Features are extracted from each utterance, and a machine learning model is selected and evaluated using a set of established metrics.

Other Potential Usage Of Our Software

Although the tool is being developed while keeping health industry and mental health problems in mind, there are numerous other areas that will benefit

Law Enforcement

The tool will help crime prevention by indicating the emotional state of the criminals and victims. It can be reliably used to prevent domestic violence.

Defence And Border Control

It is important to monitor emotional state of frontline workers/soldiers and also assess if a foreigner is experiencing heightened emotional stress. The usage will result in less accidents and better understanding of people from different cultural backgrounds.

Commercial Research

The tool can be used to understand emotional phases of people when making important decisions.

How Emotbot works and major Steps:

Emotbot has 4 step easy to use interface and you can expect a great UI as well as UX for the application the major steps are listed below.

Download & Get Started

Download our app from the app store and get started.

Upload or Record Audio

Record an audio or upload any audio format for the transcription

Validate transcribed text

Here we will display the text transcribe from audio. If users are satisfied, they can Start analysis otherwise they have to record again

Emotion Detection

Here we will display emotions extracted from text or speech signal .

The AI Based Tool For Mental Health

This revolutionary tool will help to identify emotional states and trigger intervention request for health professionals

Our Team

We have a team of dedicated scientists, ICT professionals, and project managers

Resources

We have access to latest research in the field of Artificial Intelligence, modern development tools

Potential Clients

Our AI tool under development is aimed to facilitate health industry, public health sector

Global Scale

Potential Market