AI-integrated smart board to analyze sketches to study the stress level of patients.
Keywords:
Artificial Neural Network, Convolutional Neural Networks, Recurrent Neural Networks.Abstract
Stable Mental health is important for a human being to lead a normal life. But many times, human beings may go through unstable mental situations due to various stress factors. Hence raising awareness on these matters and taking immediate actions when someone is going through mental orders is very important. The proposed research aims to help people with depression and can play a critical role in addressing these issues by providing depressed individuals and their family members with access to appropriate resources, support, and information. With the help of the proposed research, technical solutions can be implemented to solve society's incorrect opinions and preconceived notions about psychiatry using an application that focuses on how to best protect them from depression as early as possible aiming to solving the growing mental illness in society. The proposed research covers the feasibility of developing a smart solution which acts as a self-assessment tool for depression. The self-assessment tool can take the sketches from whiteboard and can analyze the mental state of the person using AI. CNNs are a type of Artificial Neural Network (ANN) that consists of inputs, hidden layers of nodes, and outputs. Each neuron receives inputs, computes a weighted sum, applies an activation function, and outputs a result. The hidden layers allow the neural network to perform deep learning, which is necessary for achieving high prediction accuracy.
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Copyright (c) 2023 Kiran Kumar, Bushra Ali Al-Khudhuri; Preethy Kurian, Khoula Al Harthy
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