Literature DB >> 26737429

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, 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.

Entities:  

Mesh:

Year:  2015        PMID: 26737429     DOI: 10.1109/EMBC.2015.7319529

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  The Mining Minds digital health and wellness framework.

Authors:  Oresti Banos; Muhammad Bilal Amin; Wajahat Ali Khan; Muhammad Afzal; Maqbool Hussain; Byeong Ho Kang; Sungyong Lee
Journal:  Biomed Eng Online       Date:  2016-07-15       Impact factor: 2.819

2.  mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification.

Authors:  Muhammad Asif Razzaq; Claudia Villalonga; Sungyoung Lee; Usman Akhtar; Maqbool Ali; Eun-Soo Kim; Asad Masood Khattak; Hyonwoo Seung; Taeho Hur; Jaehun Bang; Dohyeong Kim; Wajahat Ali Khan
Journal:  Sensors (Basel)       Date:  2017-10-24       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.