@inproceedings{Jiménez2019,

title = {Tools for smartphone multi-sensor data registration and GT mapping for positioning applications},

author = {Antonio R. Jiménez and Fernando Seco and Joaquín Torres-Sospedra },

isbn = {978-1-7281-1788-1 },

year  = {2019},

date = {2019-12-01},

booktitle = {Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 30 Sept. – 3 Oct. 2019, Pisa, Italy},

publisher = {IEEE},

abstract = {Nowadays smartphones have impressive sensing and computation capabilities, allowing the registration and processing of multiple sources of information. This power enables the creation of useful applications, such as seamless location both outdoors and indoors. Research teams pay less interest in standardizing the acquisition and processing of sensor data than to research and innovation tasks, so each group develops its own private software tools to collect data. We want to contribute by creating a framework that allows a more coherent datastream registration and algorithm performance comparison. In this paper we present an open-source framework to make possible multi-sensor registration, which includes GetSensorData, our logging Android application. In order to ease the creation and sharing of experiments among different researchers around the world, the framework also includes the data format definition, the data parsers and the procedures to calibrate maps and to define

the ground-truth trajectory for subsequent position algorithm performance comparison. Finally, we review applications of these tools in the IPIN competition as well as in teaching activities},

keywords = {Indoor positioning, mobile GIS, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{anCastelyn2016,

title = {Mobile, expert-sourced data collection to enable sustainable agricultural practices and management},

author = {Alberto González-Pérez and Sven Casteleyn and Luis Enrique Rodríguez-Pupo and Ignacio Miralles-Tena and Carlos Granell-Canut and Joaquín Huerta-Guijarro},

year  = {2016},

date = {2016-06-30},

booktitle = {Mobile Tartu 2016. 29-30 June 2016},

keywords = {ERMES, Mobile apps, mobile GIS, rice cultivation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Castellote2013,

title = {Towns Conquer: A Gamified application to collect geographical names (vernacular names/toponyms).},

author = { Jesús Castellote and Joaquín Huerta-Guijarro and Javier Pescador and Michael Brown},

url = {http://hdl.handle.net/10234/159979},

year  = {2013},

date = {2013-01-01},

booktitle = {Agile 2013: 16th AGILE Conference on Geographic Information Science, Geographic Information Science at the Heart of Europe. Leuven, 14-17 May 2013},

abstract = {The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear disadvantages such as reliance on small communities of ‘Neo-geographers' and variability in quality and content of collected data. This project aims at tackling these problems by providing alternative motivation specifically a smartphone based computer game service. Geographical names (vernacular names/ toponyms) have been identified as potential targets as they are difficult to collect on a large scale and easy to collect locally, thus ideal for crowd sourcing. The data set will be a toponyms database provided by the Spanish National Geographic Institute (IGN Spain). A location based game is targeted as it is easy to guide data collection with in-game rewards (prizes, points, badges etc.). Android is chosen for its accessible API and wide use.},

keywords = {Citizen Science, CIUDADES-SALUDABLES, crowdsourcing, Gamification, mobile GIS, VGI},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{TamayoFong2012,

title = {Building Standards-Based Geoprocessing Mobile Clients},

author = { Alain Tamayo-Fong and Carlos Granell-Canut and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},

editor = {Jêrome Gensel and Didier Josselin and Danny Vandenbroucke},

url = {http://hdl.handle.net/10234/159870},

isbn = {9789081696005},

year  = {2012},

date = {2012-01-01},

booktitle = {Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012},

pages = {47--51},

publisher = {AGILE Digital Editions},

abstract = {The adoption of geoprocessing service clients in mobile devices seems to be still rare, even when the communication protocol provided by the Web Processing Service (WPS) seems to fit the philosophy of accessing computation-intensive processes from resourceconstrained devices such as mobile phones. One of the reasons to such a low use of WPS services is that input and output data used in geospatial processes are often encoded in some XML-based format, which demands large processing capabilities for mobile devices. In order to deal with this problem we present the WPS Mobile Framework. This framework provides light-weight libraries to communicate with WPS servers and it carries out automatic generation of XML data binding code for mobile devices tailored to specific application needs.},

keywords = {geoprocessing, mobile GIS, WPS},

pubstate = {published},

tppubtype = {inproceedings}

}