Mobile app for stress monitoring using voice features

Virginia Sandulescu, Sally Andrews, David Ellis, Radu Dobrescu, Oscar Martinez-Mozos

Research output: Other contribution

4 Citations (Scopus)

Abstract

The paper describes the steps involved in designing and implementing a mobile app for real time monitoring of mental stress using voice features and machine learning techniques. The app is easy to use and completely non-invasive. It is called StressID and it is available in the Google Play store. With the use of a server application presenting a web interface, interested parties may remotely monitor the stress states detected by the mobile app, enlarging the number of use case scenarios.
Original languageEnglish
PublisherIEEE
Number of pages4
ISBN (Print)9781467375450
DOIs
Publication statusPublished - 19 Nov 2015

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