Skip to main content

Context-Aware Personal Diet Suggestion System

  • Conference paper
Book cover Aging Friendly Technology for Health and Independence (ICOST 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6159))

Included in the following conference series:

Abstract

Keeping a healthy and balanced diet has long been a critical issue for a person wanting to stay fit and energetic in her/his daily life. We can always turn to a dietitian (or a nutritionist) for professional diet suggestions if necessary. However, we cannot have a dietitian staying with us all the time, which renders daily nutrition control very challenging. Therefore, it is desirable for each individual to receive handy and informative diet suggestions whenever necessary. In this work, we propose a Context-aware Personal Diet Suggestion System (CPDSS) which tries to maximize an aggregated health utility function and provides useful diet suggestions according to some contextual information. In order to increase the practicality of the pro- posed system, we have integrated the CPDSS with an everyday appliance–a smart refrigerator–so that we can readily access the suggestions about one’s diet, receive instant context-aware reminders while preparing foods, and keep long-term diet history to extract more useful pat- terns to caregivers to provide suggestions for health improvement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Colavita, C., D’orsi, R.: Linear programming and pediatric dietetics. British Journal of Nutrition 64(2), 307–317 (2007)

    Article  Google Scholar 

  2. Fletcher, L., Soden, P., Zinober, A.: Linear programming techniques for the construction of palatable human diets. The Journal of the Operational Research Society 45(5), 489–496 (1994)

    Google Scholar 

  3. Soden, P., Fletcher, L.: Modifying diets to satisfy nutritional requirements using linear programming. British Journal of Nutrition 68(3), 565–572 (2007)

    Article  Google Scholar 

  4. Henson, S.: Linear programming analysis of constraints upon human diets. Journal of Agricultural Economics 42, 380–393 (1991)

    Article  Google Scholar 

  5. Chamberlin, J.: A linear programming analysis of human diets based upon major staple crops: sensitivity of low cost formulations to caloric, protein and bulk constraints. Massachusetts Institute of Technology, Dept. of Mechanical Engineering (1971)

    Google Scholar 

  6. Khan, A., Hoffmann, A.: Building a case-based diet recommendation system without a knowledge engineer. Artificial Intelligence in Medicine 27(2), 155–179 (2003)

    Article  Google Scholar 

  7. Ryu, B., Ryu, H.: Biological Measurement in Healthcare Refrigerator. City (2009)

    Google Scholar 

  8. Suhuai Luo, S., Jesse, S., Jin, J., Li Jiaming, J.: A Smart Fridge with an Ability to Enhance Health and Enable Better Nutrition. International Journal of Multimedia and Ubiquitous Engineering (IJMUE) 4(2), 69–79 (2009)

    Google Scholar 

  9. Gu, H., Wang, D.: A Content-aware Fridge Based on RFID in Smart Home for Home-Healthcare. City (2009)

    Google Scholar 

  10. Liao, C.-F., Jong, Y.-W., Fu, L.-C.: Toward a Message-Oriented Application Model and its Middleware Support in Ubiquitous Environments. In: Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering, Korea, pp. 298–303 (2008)

    Google Scholar 

  11. Lu, C.-H., Fu, L.-C.: Robust Location-Aware Activity Recognition Using Wireless Sensor Network in an Attentive Home. IEEE Transactions on Automation Science and Engineering 6(4), 598–609 (2009)

    Article  Google Scholar 

  12. United-States-Recommended-Daily-Allowances, http://1stholistic.com/nutrition/hol_nutrition-RDA.htm

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huang, YC., Lu, CH., Yang, TH., Fu, LC., Wang, CY. (2010). Context-Aware Personal Diet Suggestion System. In: Lee, Y., et al. Aging Friendly Technology for Health and Independence. ICOST 2010. Lecture Notes in Computer Science, vol 6159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13778-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13778-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13777-8

  • Online ISBN: 978-3-642-13778-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics