Mobile app for stress monitoring using voice features Show others and affiliations
2015 (English) In: 2015 E-Health and Bioengineering Conference (EHB), IEEE, 2015Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages IEEE, 2015.
Keywords [en]
stress, SVM, voice features, mobile app
National Category
Computer and Information Sciences
Identifiers URN: urn:nbn:se:oru:diva-83862 DOI: 10.1109/EHB.2015.7391411 ISI: 000380397900064 Scopus ID: 2-s2.0-84978153312 ISBN: 978-1-4673-7544-3 (print) ISBN: 978-1-4673-7545-0 (electronic) OAI: oai:DiVA.org:oru-83862 DiVA, id: diva2:1448666
Conference E-Health and Bioengineering Conference(EHB), Iasi, Romania, November 19-21, 2015.
2020-06-292020-06-292020-08-03 Bibliographically approved