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		<identifier>8JMKD3MGPBW34M/3888HC2</identifier>
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		<doi>10.1109/SIBGRAPI.2010.52</doi>
		<citationkey>SouzaCaBaRaCoWa:2010:UsAcDa</citationkey>
		<title>Using acceleration data from smartphones to interact with 3D medical data</title>
		<format>Printed, On-line.</format>
		<year>2010</year>
		<numberoffiles>1</numberoffiles>
		<size>1638 KiB</size>
		<author>Souza, Mateus de,</author>
		<author>Carvalho, Diego Dias Bispo,</author>
		<author>Barth, Peter,</author>
		<author>Ramos, Jeferson Vieira,</author>
		<author>Comunello, Eros,</author>
		<author>Wangenheim, Aldo von,</author>
		<affiliation>Universidade Federal de Santa Catarina</affiliation>
		<affiliation>Universidade Federal de Santa Catarina</affiliation>
		<affiliation>Hochschule RheinMain, Wiesbaden, Germany</affiliation>
		<affiliation>Universidade Federal de Santa Catarina</affiliation>
		<affiliation>Universidade Federal de Santa Catarina</affiliation>
		<affiliation>Universidade Federal de Santa Catarina</affiliation>
		<editor>Bellon, Olga,</editor>
		<editor>Esperança, Claudio,</editor>
		<e-mailaddress>aemateus@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 23 (SIBGRAPI)</conferencename>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<date>30 Aug.-3 Sep. 2010</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>mobile, acceleration sensor, smartphone, medical images.</keywords>
		<abstract>Accelerometers integrated in modern smartphones pave the way to intuitively use gestures for collaboratively con- trolling interactive applications. Using and holding smartphones has become natural and ensures user acceptance as well as intuitive handling. We focus on using accelerators in several smartphones at the same time to interactively control a medical imaging solution. To this end, we introduce a framework to collect, modify, and distribute acceleration sensor data from multiple smartphones and integrate it with a medical imaging system which results in an environment suitable for e.g. doctors reviewing and explaining diagnostic findings. We performed some experiments to evaluate the usability of this approach and present an ongoing research in adapting the smartphone interface to physical simulation applications. .</abstract>
		<language>en</language>
		<targetfile>PID1395265.pdf</targetfile>
		<usergroup>aemateus@gmail.com</usergroup>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2010/09.09.21.18</url>
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