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.
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Boukhechba, M., Barnes, L.E. (2020). SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-51828-8_67
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DOI: https://doi.org/10.1007/978-3-030-51828-8_67
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