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Mining Human Behavior for
Health Promotion
Oresti Banos, Jaehun Bang, Taeho Hur, Muhammad Hameed Siddiqi,
Huynh-The Thien,...
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Mining Human Behavior for Health Promotion

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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.

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Mining Human Behavior for Health Promotion

  1. 1. 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

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