Open AccessA Review on Life Cycle Assessment of Solar PV Panel
Author(s) -
Apurva Varade
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35134
Subject(s) - sort , feeling , computer science , expression (computer science) , affective computing , state (computer science) , emotion classification , human–computer interaction , psychology , cognitive psychology , multimedia , artificial intelligence , social psychology , information retrieval , programming language , algorithm
Humans tend to connect the music they hear, to the emotion they are feeling. The song playlists though are, at periods too large to sort out automatically. It would be accommodating if the music player was “smart enough” to sort out the music based on the current state of emotion the individual is feeling. The main idea of this project is to automatically play songs based upon the emotions of the adherent. Based on the emotion, the music will be played from the predefined playlist. It aims to deliver user-preferred music with emotional attentiveness. In the existing system user want to manually select the songs, randomly played songs may not accede to the feel of the adherent, user has to classify the songs into various emotions and for playing the songs user has to manually choose a particular emotion. These difficulties can be avoided by using our project. This is a novel way that helps the handler to automatically play songs based on the emotions of the handler. It recognizes the facial emotions of the adherent and plays the songs based on their emotion. The emotions are recognized using a machine learning method Support Vector Machine (SVM) algorithm. The human twist is an important organ of an individual's body and it especially plays an important role in the heritage of an individual's behaviours and emotional appearance.