Mining Human Behavior for
Health Promotion
Oresti Banos, Jaehun Bang, Taeho Hur, Muhammad Hameed Siddiqi,
Huynh-The Thien, Le-Ba Vui, Wajahat Ali Khan, Taqdir Ali, Claudia Villalonga, and Sungyoung Lee
Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Korea
{oresti,[…],sylee}@oslab.khu.ac.kr
The monitoring of human lifestyles has gained much attention in the recent years. This work presents a novel approach to combine multiple
context-awareness technologies for the automatic analysis of people’s conduct in a comprehensive and holistic manner. Activity
recognition, emotion recognition, location detection, and social analysis techniques are integrated with ontological mechanisms as part of a
framework to identify human behavior. Key architectural components, methods and evidences are described in this paper to illustrate the
interest of the proposed approach.
Keywords: Digital health, quantified self, context-awareness, activity recognition, emotion recognition, location detection, social analysis
Abstract
“The Slow-Moving Public Health Disaster”
“Collection of innovative services, tools, and techniques, working
collaboratively to investigate on human's daily-life routines data generated
from heterogeneous resources, for personalized wellbeing and healthcare
support”:
Mining Minds: a Novel Digital Health Framework
The information curation process consists in converting the data
obtained from the user interaction with the real and cyberworld, into
abstract concepts or categories, such as physical activities, emotional
states, locations and social patterns, which are intelligently combined
to determine and track the user context and behavior:
Information Curation for Behavior Mining
This work was supported by the Industrial Core Technology Development Program (10049079, Development of mining
core technology exploiting personal big data) funded by the Korean Ministry of Trade, Industry and Energy.
Acknowledgements
Diseases linked to lifestyle choices are currently the
biggest cause of death worldwide:
• Cardiovascular conditions, cancers, chronic respiratory
disorders, obesity and diabetes, represent more than 60% of
global deceases, half of which are of premature nature
• Most of these diseases are fairly associated to common risk
factors, namely, tobacco and alcohol use, unwholesome diet
and physical inactivity
• This "lifestyle disease" epidemic causes a much greater
public health threat than any other epidemic known to man
• Millions of lives could be saved if the world over the next
decade invests $1-3 per person on promoting healthier habits
Inferred High Level Context
Inferred Low Level Contexts
Office Work
Curated Data
Sitting Neutral Office