The CAMS eSense Framework: Enabling Earable Computing for mHealth Apps and Digital Phenotyping

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Abstract

Earable computing devices can be an important platform for mobile health (mHealth) applications and digital phenotyping, since they allow for collection of detailed sensory data while also providing a platform for contextual delivery of interventions. In this paper we describe how the eSense earable computing platform has been integrated with a programming framework and runtime platform for the design of mHealth applications. The paper details how this programming framework can be used in the design of custom mHealth technologies. It also provide data and insight from an initial study in which this framework was used to collect real-life contextual data, including sensory data from the eSense device.
Original languageEnglish
Title of host publicationProceedings of the 1st International Workshop on Earable Computing
PublisherAssociation for Computing Machinery
Publication date2019
Pages3-7
ISBN (Electronic)9781450369022
DOIs
Publication statusPublished - 2019
Event 1st International Workshop on Earable Computing - London, United Kingdom
Duration: 10 Sep 201910 Sep 2019
Conference number: 1

Conference

Conference 1st International Workshop on Earable Computing
Number1
CountryUnited Kingdom
CityLondon
Period10/09/201910/09/2019
SeriesProceedings of the 1st International Workshop on Earable Computing

Keywords

  • Digital phenotyping
  • Mobile health
  • Mobile Sensing
  • eSense
  • Earable computing

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