Title |
Mining Human Behavior for Health Promotion
|
---|---|
Published in |
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, January 2015
|
DOI | 10.1109/embc.2015.7319529 |
Pubmed ID | |
Authors |
Oresti Banos, Jaehun Bang, Taeho Hurl, Muhammad Hameed Siddiqil, Huynh-The Thien, La-Ba Vui, Wajahat Ali Khan, Taqdir Ali, Claudia Villalonga, Sungyoung Lee |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Canada | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 18% |
Lecturer | 3 | 14% |
Student > Ph. D. Student | 3 | 14% |
Student > Bachelor | 2 | 9% |
Researcher | 2 | 9% |
Other | 6 | 27% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 41% |
Nursing and Health Professions | 3 | 14% |
Engineering | 3 | 14% |
Medicine and Dentistry | 3 | 14% |
Sports and Recreations | 1 | 5% |
Other | 1 | 5% |
Unknown | 2 | 9% |