Mood Detection and Regulation using Machine Learning |
Author(s): |
| Himadri Patil , K.J. Somaiya College of Engineering; Makarand Kulkarni, K.J. Somaiya College of Engineering |
Keywords: |
| Convolution Neural Network (CNN), Facial Emotion, Image Edge Detection, Long Short-Term Memory (LSTM), Mood Detection, Mood Regulation, Music Composition, Visual Geometry Group from Oxford (VGG16) |
Abstract |
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In today's stressful life, it is mandatory to take care of mental health. A person's day to day mood has a crucial role in mental health. This mood needs to be taken care of all the time. This paper is the state of the art work to detect mood from a person's facial expressions and to provide him / her a strategy to distract from the negative mood. We have used deep learning for facial mood detection and for generating music pieces that affect different moods. Also, voice messages have been used to distract the person and to guide a person in a negative mood. Such systems are useful in-vehicle security, classroom learning, the smart healthcare environment, etc. |
Other Details |
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Paper ID: IJSRDV8I100189 Published in: Volume : 8, Issue : 10 Publication Date: 01/01/2021 Page(s): 367-372 |
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