<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The people-centric sensing community is paying substantial attention to the smartphone as an ad hoc, low-cost, and dense sensing method because it permits people to participate easily in sensing activities, i.e., just by carrying it as usual. People carry their smartphones in various manners, rendering measurement results unreliable. For example, humidity is typically higher in a trouser pocket than around the neck as a result of sweat. In this article, we propose a platform for people-centric sensing that considers the on-body position of a smartphone as metadata. A general architecture is presented, and a universal serial bus-based external sensing module for an Android-based terminal is developed. A heatstroke alert map that visualizes the heatstroke risk is presented as an application based on both the collected raw data and metadata using the platform.</p>
</abstract>

The people-centric sensing community is paying substantial attention to the smartphone as an ad hoc, low-cost, and dense sensing method because it permits people to participate easily in sensing activities, i.e., just by carrying it as usual. People carry their smartphones in various manners, rendering measurement results unreliable. For example, humidity is typically higher in a trouser pocket than around the neck as a result of sweat. In this article, we propose a platform for people-centric sensing that considers the on-body position of a smartphone as metadata. A general architecture is presented, and a universal serial bus-based external sensing module for an Android-based terminal is developed. A heatstroke alert map that visualizes the heatstroke risk is presented as an application based on both the collected raw data and metadata using the platform.

Smartphone-Based Environmental Sensing Using Device Location as Metadata

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Smartphone-Based Environmental Sensing Using Device Location as Metadata"}

The people-centric sensing community is paying substantial attention to the smartphone as an ad hoc, low-cost, and dense sensing method because it permits...

Smartphone-Based Environmental Sensing Using Device Location as Metadata

Online veröffentlicht: 01. Dez. 2016

Seitenbereich: 2257 - 2275

Eingereicht: 05. Juli 2016

Akzeptiert: 03. Nov. 2016

DOI: https://doi.org/10.21307/ijssis-2017-963

Schlüsselwörter
environmental sensing, people-centric sensing, heatstroke, smartphone, on-body device localization

© 2016 Kaori Fujinami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Smartphone-Based Environmental Sensing Using Device Location as Metadata

Online veröffentlicht: 01. Dez. 2016

Seitenbereich: 2257 - 2275

Eingereicht: 05. Juli 2016

Akzeptiert: 03. Nov. 2016

DOI: https://doi.org/10.21307/ijssis-2017-963

Schlüsselwörterenvironmental sensing, people-centric sensing, heatstroke, smartphone, on-body device localization

© 2016 Kaori Fujinami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
environmental sensing, people-centric sensing, heatstroke, smartphone, on-body device localization