Crowdsourcing Solutions for Data Gathering from Wearables

Lucie Klus; Elena-Simona Lohan; Carlos Granell; Jari Nurmi

Crowdsourcing Solutions for Data Gathering from Wearables

Lucie Klus, Elena-Simona Lohan, Carlos Granell, Jari Nurmi

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

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Abstract

This paper gives an overview of crowdsourcing databases and crowdsourcing-related challenges and open research issues for data collected from wearable devices. It is shown that, with the advent of smarter wearable devices, the complexity of data gathering, storage, and processing in crowdsourced modes will increase exponentially and new solutions are needed in order to cope with larger data sets and low energy consumption in wearable devices, while ensuring the integrity and quality of the collected data.

Original language	English
Title of host publication	Proceedings of XXXV Finnish URSI Convention on Radio Science
Publisher	URSI
Number of pages	5
Publication status	Published - 18 Oct 2019
Publication type	D3 Professional conference proceedings
Event	Finnish URSI Convention on Radio Science - Duration: 1 Jan 1900 → …

Conference

Conference	Finnish URSI Convention on Radio Science
Period	1/01/00 → …

ASJC Scopus subject areas

General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Crowdsourcing Solutions for Data Gathering from Wearables 2019Final published version, 170 KBLicence: CC BY

http://urn.fi/URN:NBN:fi:tuni-202001241524Licence: CC BY
https://www.ursi.fi/2019/Licence: CC BY

Cite this

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title = "Crowdsourcing Solutions for Data Gathering from Wearables",

abstract = "This paper gives an overview of crowdsourcing databases and crowdsourcing-related challenges and open research issues for data collected from wearable devices. It is shown that, with the advent of smarter wearable devices, the complexity of data gathering, storage, and processing in crowdsourced modes will increase exponentially and new solutions are needed in order to cope with larger data sets and low energy consumption in wearable devices, while ensuring the integrity and quality of the collected data.",

author = "Lucie Klus and Elena-Simona Lohan and Carlos Granell and Jari Nurmi",

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AU - Granell, Carlos

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Y1 - 2019/10/18

N2 - This paper gives an overview of crowdsourcing databases and crowdsourcing-related challenges and open research issues for data collected from wearable devices. It is shown that, with the advent of smarter wearable devices, the complexity of data gathering, storage, and processing in crowdsourced modes will increase exponentially and new solutions are needed in order to cope with larger data sets and low energy consumption in wearable devices, while ensuring the integrity and quality of the collected data.

AB - This paper gives an overview of crowdsourcing databases and crowdsourcing-related challenges and open research issues for data collected from wearable devices. It is shown that, with the advent of smarter wearable devices, the complexity of data gathering, storage, and processing in crowdsourced modes will increase exponentially and new solutions are needed in order to cope with larger data sets and low energy consumption in wearable devices, while ensuring the integrity and quality of the collected data.

M3 - Conference contribution

BT - Proceedings of XXXV Finnish URSI Convention on Radio Science

PB - URSI

T2 - Finnish URSI Convention on Radio Science

Y2 - 1 January 1900

ER -

Crowdsourcing Solutions for Data Gathering from Wearables

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

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Cite this