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

Sähkötekniikka

Tutkimustuotos: Konferenssiartikkeli › Ammatillinen

65 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of XXXV Finnish URSI Convention on Radio Science
Kustantaja	URSI
Sivumäärä	5
Tila	Julkaistu - 18 lokak. 2019
OKM-julkaisutyyppi	D3 Artikkeli ammatillisessa konferenssijulkaisussa
Tapahtuma	Finnish URSI Convention on Radio Science - Kesto: 1 tammik. 1900 → …

Conference

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

!!ASJC Scopus subject areas

Yleinen tekniikka

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Pääsy asiakirjaan

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

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

Siteeraa tätä

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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",

year = "2019",

month = oct,

day = "18",

language = "English",

booktitle = "Proceedings of XXXV Finnish URSI Convention on Radio Science",

publisher = "URSI",

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T1 - Crowdsourcing Solutions for Data Gathering from Wearables

AU - Klus, Lucie

AU - Lohan, Elena-Simona

AU - Granell, Carlos

AU - Nurmi, Jari

PY - 2019/10/18

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

Abstrakti

Conference

!!ASJC Scopus subject areas

YK:n kestävän kehityksen tavoitteet

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Sormenjälki

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