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SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches

  • Mehdi BoukhechbaEmail author
  • Laura E. Barnes
Conference paper
  • 7 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1217)

Abstract

In this work, we present SWear, a generalized human crowdsensing platform to collect human behavior data on smartwatches. It uses the stand-alone capabilities of smartwatches to collect data without being connected to smartphones. SWear collects both sensor data (e.g. GPS and audio) and self-reported survey data through micro surveys administered on the watch. SWear has been validated in multiple studies to understand the relationship between humans and their context.

Keywords

Crowdsensing Smartwatches Mobile computing Data collection 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Engineering Systems and EnvironmentUniversity of VirginiaCharlottesvilleUSA
  2. 2.School of Data ScienceUniversity of VirginiaCharlottesvilleUSA

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