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Health Multimedia: Lifestyle Recommendations Based on Diverse Observations

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Published:06 June 2017Publication History

ABSTRACT

Managing health lays the core foundation to enabling quality life experiences. Modern multimedia research has enhanced the quality of experiences in fields such as entertainment, social media, and advertising; yet lags in the health domain. We are developing an approach to leverage multimedia systems for human health. Health is primarily a product of our everyday lifestyle actions, yet we have minimal health guidance on making everyday choices. Recommendations are the key to modern content consumption and decisions. Cybernetic navigation principles that integrate health media sources can power dynamic recommendations to dramatically improve our health decisions. Cybernetic components give real-time feedback on health status, while the navigational approach plots health trajectory. These two principles coalesce data to enable personalized, predictive, and precise health knowledge that can contextually disseminate the right actions to keep individuals on a path to wellness.

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    • Published in

      cover image ACM Conferences
      ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
      June 2017
      524 pages
      ISBN:9781450347013
      DOI:10.1145/3078971
      • General Chairs:
      • Bogdan Ionescu,
      • Nicu Sebe,
      • Program Chairs:
      • Jiashi Feng,
      • Martha Larson,
      • Rainer Lienhart,
      • Cees Snoek

      Copyright © 2017 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      • Published: 6 June 2017

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      ICMR '17 Paper Acceptance Rate33of95submissions,35%Overall Acceptance Rate254of830submissions,31%

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