Mobile app for stress monitoring using voice features

2015 E-Health and Bioengineering Conference, EHB 2015

Volumn , Issue , 2016, Pages

  Sandulescu, Virginia ^a   Andrews, Sally ^b   Ellis, David ^c   Dobrescu, Radu ^a   Martinez Mozos, Oscar ^d  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

^b NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF LINCOLN   (United Kingdom)

Author keywords

mobile app; stress; SVM; voice features

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; STRESSES;

MACHINE LEARNING TECHNIQUES; MENTAL STRESS; MOBILE APP; REAL TIME MONITORING; SERVER APPLICATIONS; STRESS MONITORING; USE CASE SCENARIO; WEB INTERFACE;

INTERFACE STATES;

EID: 84978153312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EHB.2015.7391411     Document Type: Conference Paper

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