Post on 19-Jun-2015
description
WLSACONVERGENCE SUMMIT
MACHINE LEARNING-BASED ANALYSIS OF SMARTPHONE USAGE PATTERN AND ITS ASSOCIATION WITH NEGATIVE HUMAN EMOTION
GALEN CHIN-LUN HUNG
What you do on the smartphone predicts how
you feel.
Our model predicts 3 negative emotions based on the smartphone
usage pattern in the past two hours, with an average accuracy rate of
83.2%
Pleasure AnxietyStress
No feature selectionSelected model
DEMO & ABSTRACT PRESENTATION SESSION #11.4 RESEARCH ABSTRACT
MACHINE LEARNING-BASED ANALYSIS OF SMARTPHONE USAGE PATTERN AND ITS ASSOCIATION WITH NEGATIVE HUMAN
EMOTIONGALEN CHIN-LUN HUNG; PEI-CHING YANG; CHIA-CHI CHANG;
JUNG-HSIEN CHIANG
This model has a potential for real-time treatment by envisioning negative emotions
and providing preventive interventions before the users actually 'feel bad’
WLSACONVERGENCE SUMMIT
www.wirelesshealth2014.org