TY  - JOUR
TI  - Daily Mood Assessment Based on Mobile Phone Sensing
AU  - Bhavana Choudhari
AU  -  Kiren Negi
AU  -  Rani Sonparote
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833330
VL  - 3
IS  - 3
SP  - 1250	
EP  - 1252
AB  - 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.