Emotion Based Music Recommendation System for Specially-Abled | IEEE Conference Publication | IEEE Xplore

Emotion Based Music Recommendation System for Specially-Abled

Publisher: IEEE

Abstract:

Human emotion is a psycho physiological state of mind that manifests as good or negative responses to external and internal stimuli. Songs have long been a popular altern...View more

Abstract:

Human emotion is a psycho physiological state of mind that manifests as good or negative responses to external and internal stimuli. Songs have long been a popular alternative for expressing human feelings as a medium of expression. Content-based recommendation engines are used by the majority of existing music recommendation systems. However, music selection is influenced not only by past tastes or musical substance, but also by the user's current mood. This research presents a framework for learning a user's emotion using data gathered from a wearable device that is combined with galvanic skin response (GSR), photo plethysmography (PPG), and electro encephalography (EEG) physiological sensor signals, as well as data taken via camera. This information is used as a supplement to the music recommendation engine. Sensor data and face expression data can thus improve the effectiveness and accuracy of the recommendation engine.
Date of Conference: 27-28 August 2021
Date Added to IEEE Xplore: 29 October 2021
ISBN Information:
Publisher: IEEE
Conference Location: Bangalore, India

I. Introduction

Wearable computing is the study or practise of designing, creating, building, and using body-worn computational and sensory devices that allow a new kind of human-computer interaction via the use of an always-on, body-attached component, such as a watch. As the number of people who use wearable computing devices continues to rise year after year, the number of applications for these devices is expanding at an alarming rate. They have an effect on the medical, fitness, ageing, and disability sectors, as well as on education, transportation, finance, gaming, and music businesses. Speech analytics and facial expressions are used in conjunction with one another to identify emotions in a person. However, due to the fact that people attempt to screen their expressions, relying only on speech or facial expression data may not be adequate to correctly determine emotions.

References

References is not available for this document.