Good Note

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In Folder: Music Therapy System

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Good Note

Senior Design Showcase project, Wentworth Institute of Technology, College of Engineering and Computer Science, Department of Electrical and Computer Engineering, 2020

Dublin Core Metadata

title: Good Note

creator: Julia Cotter, Mike Ho, Joe Polny, Nick Pondish

subject: Music, therapy, Spotify

description: Music has been shown as an effective and inexpensive means of providing health benefits to those who listen within a therapeutic environment. There are multiple areas of health that have been shown to benefit from music therapy. The most objective and well- documented benefits are the effects of music on the cardiovascular system, such as a reduction in heart rate and improved respiratory function. In addition to the physical and biological benefits of music therapy, it has also been shown to improve the condition of patients suffering from a variety of mental illnesses, ranging from anxiety to schizophrenia[4]. The goal of our app is to make an individual therapy session effective as possible while also being enjoyable. In addition to the algorithm behind the music curation, it is important the front end of the application is user friendly and enjoyable to use from the perspective of patients and therapists. We created a software application that helps curate music specific to the patient and their needs. This curation is done with two main sources of input, attribute filter and playlist filter. Most of the curation was be done via an algorithm used to analyze and categorize the potential mood and effects of a song on a patient. This algorithm leveraged Spotify’s extensive music library and Spotify’s Web API.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

contributor:

date: 2020

type: Presentation

format: video recording

identifier:

source:

language: eng

relation:

coverage:

rights: https://rightsstatements.org/vocab/InC/1.0/

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