Mobile app for stress monitoring using voice features

Sandulescu, Virginia and Andrews, Sally and Ellis, David and Dobrescu, Radu and Martinez-Mozos, Oscar (2015) Mobile app for stress monitoring using voice features. In: E-Health and Bioengineering Conference (EHB), 2015. IEEE, pp. 1-4. ISBN 9781467375450

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Official URL: https://doi.org/10.1109/EHB.2015.7391411

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.

Item Type:

Contribution in Book/Report/Proceedings

Additional Information:

©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Departments:

Faculty of Science and Technology > Psychology

ID Code:

76413

Deposited By:

ep_importer_pure

Deposited On:

29 Oct 2015 11:46

Refereed?:

Yes

Published?:

Published

Last Modified:

15 Sep 2023 04:54

URI:

https://eprints.lancs.ac.uk/id/eprint/76413