Dietary management plays a crucial role in maintaining long-term health, preventing diseases and aiding in recovery, particularly amidst the increasing prevalence of chronic conditions such as hypertension, cardiovasc...
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The utilization of convolutional neural network (CNN) inference models has gained widespread adoption across various domains;however, it raises concerns regarding user privacy and security due to the requirement of pl...
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Taking care of one’s mental health properly is very important as we are trying to get past the effects caused by the COVID pandemic era, especially since the rate of COVID spread is still persistent. Many organizatio...
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ISBN:
(纸本)9789811976148
Taking care of one’s mental health properly is very important as we are trying to get past the effects caused by the COVID pandemic era, especially since the rate of COVID spread is still persistent. Many organizations, universities, and schools are continuing an online mode of learning or working from home situation to tackle the spreading of the coronavirus. Due to these situations, the user could be using electronic gadgets like laptops for long hours, often without breaks in between. This has eventually affected their mental health. The ‘ViDepBot’, Video-Depression-Bot aims in helping the user to maintain their mental health by detecting their depression level early, and taking appropriate actions by faculty/counselors, parents, and friends to help them to come back to normalcy and maintaining a strong mental life. In this work, a system is proposed to determine the depression level from both the facial emotions and chat texts by the user. The FER2013 dataset is trained using deep learning architecture VGG-16 base model with additional layers which acquired an accuracy of around 87% for classifying the live face emotions. Since people tend to post their feelings and thoughts (when feeling down, depressed, or even happy) on social media such as Twitter, the sentiment140 twitter dataset was taken and trained using the machine learning algorithm Bayes theorem which acquired an accuracy of around 80% for classifying the user input texts. The user is monitored through a webcam and the emotions are recognized live. The ViDepBot regularly chats with the user and takes feedback on the mental condition of the user by analyzing the chat texts received. The emotions and chat texts help to find the depression level of the user. After determining the depression level, the ViDepBot framework provides ideal recommendations to improve the user’s mood. This ViDepBot can be further developed to keep track of each student/subject person’s depression level, where they would be phys
With the development of information technology, public opinion can quickly spread to all over the world, permeate every corner of social life, and have a great impact on human's lives. Extracted from large-scale a...
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Breast cancer is one of the most commonly occurring malignancies cancer in women, and there are millions of new cases diagnosed among women's and over 400,000 deaths annually worldwide. In our dataset, we have 30 ...
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The exploration of frame animation technology based on WinCE platform frame animation is a common animation form that decomposes animation actions in consecutive key frames, that is, draws different content on each fr...
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This study investigates the actual impact of ChatGPT on human resource management (HRM) occupations and compares it with assessments from large language models (LLMs). Using data from the Occupational Information Netw...
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As computer performance advances and deep learning models proliferate, their applications expand, but concerns arise due to their opaque nature and security issues. Edge intelligence requires more from these models bu...
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K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlapping clusters in which each point is assigned to a group. The minimum squared ...
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The 'Image Processing-Based Real-Time Detection and Tracking of Human' system were developed as a real-time approach to detect, identify and track people from a given video field or live stream. This can be us...
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