Hybrid Deep Face Music Recommendation Using Emotions

Divija Sanapala, Raja Muthalagu, Pranav M. Pawar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Facial emotion recognition is a biometric model which uses facial features to find out the emotion and state of a person. Facial expressions are important as emotions are unique forms of psychological processes. Importantly, emotions are expressed through nonverbal behavior in the face, voice, and body, and different emotions are expressed through different, specific, unique facial configurations that are universal to all cultures, regardless of race, nation, ethnicity, religion, gender, or any other characteristic of the population. This paper explains how to use OpenCV in Python to build and create a facial emotion recognition system using the pre-trained model deep face. deep face is a deep learning facial recognition system, and it has an accuracy of 97%. Based on the user's current emotion, a music playlist is generated using K-means clustering. It is often difficult for people to decide which songs to listen to ease this confusion. This model has been developed. Here, the person’s image is captured using a Webcam, the emotion is recognized, and then, a playlist is recommended along with the link of the song to listen to. Most available methods include manually playing music, employing wearable computing devices, or categorizing based on auditory attributes. In this paper, we recommend that the manual sorting and playing be replaced by recommending a song playlist and providing a YouTube link for the songs. This has an accuracy of 99% for both training and testing the dataset of songs.

Original languageEnglish
Title of host publicationInnovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022
EditorsSatyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R.S. Tavares
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9789819926015
StatePublished - 2023
Externally publishedYes
Event3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022 - Jaipur, India
Duration: 24 Nov 202225 Nov 2022

Publication series

NameLecture Notes in Networks and Systems
Volume680 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.


  • Deep face
  • Facial emotion recognition
  • K-means clustering
  • Music suggestions
  • OpenCV
  • Pre-trained model


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