Effective Human Emotion Detection for Health Care Industry

Human emotions are strongly coupled with physical and mental health of any individual. While emotions exbibit complex physiological and biological phenomenon.Recognizing the patient's emotions using deep learning techniques has attracted significant attention recently due to technological advancemen

Project Title

Effective Human Emotion Detection for Health Care Industry

Project Area of Specialization

Artificial Intelligence

Project Summary

Human emotions are strongly coupled with physical and mental health of any individual. While emotions exbibit complex physiological and biological phenomenon.Recognizing the patient's emotions using deep learning techniques has attracted significant attention recently due to technological advancements. Automatically identifying the emotions can help build smart healthcare centers that can detect depression and stress among the patients in order to start the medication early. Using advanced technology to identify emotions is one of the most exciting topics as it defines the relationships between humans and machines. Machines learned how to predict emotions by adopting various methods. Recognizing or detecting feelings in health care data gives important and helpful information regarding the emotional state of patients. To recognize or detection of patient’s emotion against a specific disease using facial expression is a challenging task. Our proposed work will be helpful to automatically detect a patient’s emotion during disease and to avoid extreme acts like suicide, mental disorders, or psychological health issues.

Moreover, the detection of COVID-19 patients' health state can be obtained utilizing their motions.

Project Objectives

Objectives of the project are as follows:

Automatic feedback system:

            The main objective of the proposed system to automate the feedback of the patient. By using emotion detection system doctor can check that the patient is improving his/her health or not.

 This will be time consuming.

Build Smart health care centers:

Automatically identifying the emotions can help build smart health care centers that can detect depression and stress among the patients in order to start the medication early.

Improve patient’s safety:

         Our proposed work will be helpful to automatically detect a patient’s emotion during disease and to avoid extreme acts like suicide, mental disorders, or psychological health issues.

Easy and fast Identification:

         Check-in and check-out are fundamental setup. Face recognition technology can make them easier and faster. also decrease the work load for hospital staff at same time. When a patient enters, the face recognition system scans their face and run it against the hospital database.

Project Implementation Method

Implementation of the project consist of different steps:

• Collection of neeed

• Identify the platform and hardware

Camera and sensor will be used. camera will be used as a input device that take picture as a input sensior will firstdetect the image and the another sensor will calculate the emotion state of an indevedual(patient).

• KNOWLEDGE BASE

This base contains images that are used for comparison and recognizing emotion variations. The images are stored in the database. Every time an input is given to the system, it finds a relevant image from its knowledge base by comparing the stored pictures and the input to come up with an output.

• PREPROCESSING AND RESIZE

This step enhances the input and removes different types of noises. After that, the input image will be resized, typically with the use of the eye selection method.

• DIFFERENCE MEASUREMENTS

During this step, the system will find any differences between the input image and the stored images and will finally lead to the emotion recognition step.

• EMOTION RECOGNITION

This is the final step of the process. The comparison is made, and the final output is given depending on the differences found

Benefits of the Project

Benefits of proposed project as follows:

• Emotion-sensing technologies can help doctors to make better decisions, improve their focus and performance in the workplace, manage stress, and also help them adopt healthier diets/ exercises.
• Mood sensor technology can help children or the elderly, who are in need of care, to receive timely assistance and support from family members or caregivers, who can then alert doctors.
• The healthcare industry can take advantage, use it to know if a patient needs medicine or for physicians to know whom to prioritize in seeing first.
• Automatically identifying the emotions can help build smart health care centers that can detect depression and stress among the patients in order to start the medication early.
• Emotion reorganization can be used to understand how patients feel during the medical session and also compare the difference  after and before session.

Technical Details of Final Deliverable

 Internet of Things (IoT) enabled solution, coupled with AI can interpret and communicate emotions to serve substantially in healthcare and related fields.

Our implementation will be divided into 3 parts:

1. Face detection
2. Feature extraction
3. Classification using machine learning algorithms

Feature extraction was very important part of the experiment. The added distance and area features provided good accuracy for CK+ database.The additional features (distance and area) reduced the accuracy of the experiment for SVM.

The algorithm generalized the results from the training set to the testing set better than SVM and other algorithms. The results of the emotion detection algorithm gave average accuracy up to 86% for RAFD database and 87% for CK+ database.

At final stage our proposed systen automatically understand patients' pain intensity levels using the proposed facial emotion recognition system. Two emotion probabilities, “fearful” and “sad”, are determined to be closely related to the pain intensity level.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Medical , Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com