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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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:
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ID Code:
76413
Deposited By:
Deposited On:
29 Oct 2015 11:46
Refereed?:
Yes
Published?:
Published
Last Modified:
28 Oct 2020 08:35