Mobile app for stress monitoring using voice features

Sandulescu, Virginia, Andrews, Sally, Ellis, David , Dobrescu, Radu and Martinez Mozos, Oscar (2015) Mobile app for stress monitoring using voice features. In: E-Health and Bioengineering Conference (EHB), 19-21 Nov. 2015, Iasi, Romania.

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Item Type:Conference or Workshop contribution (Speech)
Item Status:Live Archive


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.

Keywords:Mobile applications, Voice control, Stress
Divisions:College of Science > School of Computer Science
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ID Code:28289
Deposited On:23 Nov 2017 17:29

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