Daily Mood Assessment Based on Mobile Phone Sensing

Authors(3) :-Bhavana Choudhari, Kiren Negi, Rani Sonparote

The increasing of stress and unhealthy lifestyle in peoples daily life, mental healths problems are now becoming a global concern. In particular, the mood related mental health problems such as mood disorders, depressions and elation are seriously impacting peoples quality of life. However due to the complexity and unstableness of personal mood, assessing and analyzing daily mood is both difficult and inconvenient. Which is a major challenge in mental health care.In this paper we propose a novel framework called MoodStats for assessing and analyzing mood in daily life.

Authors and Affiliations

Bhavana Choudhari
Department of IT, VIT Mumbai, Maharashtra, India
Kiren Negi
Department of IT, VIT Mumbai, Maharashtra, India
Rani Sonparote
Department of IT, VIT Mumbai, Maharashtra, India

Mobile Phone Sensor, Mood Assessment, Behavior Modeling, Mobile Healthcare.

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1250-1252
Manuscript Number : CSEIT1833330
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Bhavana Choudhari, Kiren Negi, Rani Sonparote, "Daily Mood Assessment Based on Mobile Phone Sensing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1250-1252, March-April-2018. |          | BibTeX | RIS | CSV

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