Tampere University of Technology

TUTCRIS Research Portal

Crowdsourcing Solutions for Data Gathering from Wearables

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Standard

Crowdsourcing Solutions for Data Gathering from Wearables. / Klus, Lucie; Lohan, Elena-Simona; Granell, Carlos; Nurmi, Jari.

Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Harvard

Klus, L, Lohan, E-S, Granell, C & Nurmi, J 2019, Crowdsourcing Solutions for Data Gathering from Wearables. in Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI, Finnish URSI Convention on Radio Science, 1/01/00.

APA

Klus, L., Lohan, E-S., Granell, C., & Nurmi, J. (2019). Crowdsourcing Solutions for Data Gathering from Wearables. In Proceedings of XXXV Finnish URSI Convention on Radio Science URSI.

Vancouver

Klus L, Lohan E-S, Granell C, Nurmi J. Crowdsourcing Solutions for Data Gathering from Wearables. In Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI. 2019

Author

Klus, Lucie ; Lohan, Elena-Simona ; Granell, Carlos ; Nurmi, Jari. / Crowdsourcing Solutions for Data Gathering from Wearables. Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI, 2019.

Bibtex - Download

@inproceedings{af6f1f3d13824914aec03185cb81a8ee,
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 = "10",
day = "18",
language = "English",
booktitle = "Proceedings of XXXV Finnish URSI Convention on Radio Science",
publisher = "URSI",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

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

ER -