Benchmarking learning networks on eat-sleep conditions

Victor Parque, Hammed Obasekore, Solomon Oladayo, Tomoyuki Miyashita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Human activity recognition technologies are key to promote healthy life styles, and potential to offer explanations to study the origin of complex diseases. In particular, it is well-known that the quick transition between eating and sleeping is known to trigger unfavorable conditions for healthy life style. In this paper we describe our observations and insights in the benchmarking of the state of the art classification models based on graph representations to classify activities comprising drinking, eating, walking, running and sleeping.

Original languageEnglish
Title of host publication2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-30
Number of pages2
ISBN (Electronic)9781728105437
DOIs
Publication statusPublished - 2019 Mar
Event1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019 - Osaka, Japan
Duration: 2019 Mar 122019 Mar 14

Publication series

Name2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019

Conference

Conference1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019
CountryJapan
CityOsaka
Period19/3/1219/3/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Health Informatics
  • Neuroscience (miscellaneous)
  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Parque, V., Obasekore, H., Oladayo, S., & Miyashita, T. (2019). Benchmarking learning networks on eat-sleep conditions. In 2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019 (pp. 29-30). [8883998] (2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LifeTech.2019.8883998