Crowdsourcing Solutions for Data Gathering from Wearables
Klus, Lucie; Lohan, Elena-Simona; Granell, Carlos; Nurmi, Jari (2019-10-18)
Klus, Lucie
Lohan, Elena-Simona
Granell, Carlos
Nurmi, Jari
URSI
18.10.2019
Proceedings of XXXV Finnish URSI Convention on Radio Science
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202001241524
https://urn.fi/URN:NBN:fi:tuni-202001241524
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [17001]