Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data, which leads to many new opportunities. In part...

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Bibliographic Details
Main Authors: Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
mHealth
crowdsensing
tinnitus
geospatial data
cloud-native
stream processing
Online Access:https://www.mdpi.com/1424-8220/20/12/3456

Internet

https://www.mdpi.com/1424-8220/20/12/3456

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