Acquisition And Classification Of Motion
but.event.date | 27.04.2017 | cs |
but.event.title | Student EEICT 2017 | cs |
dc.contributor.author | Tichá, Petra | |
dc.date.accessioned | 2020-05-07T09:40:26Z | |
dc.date.available | 2020-05-07T09:40:26Z | |
dc.date.issued | 2017 | cs |
dc.description.abstract | This article deals with the acquisition and classification of human movement using accelerometer and gyroscope data. First part of the work summarizes the design and implementation of the acquisition system and its placement on the body of the measured person. Second part describes classification of accelerometer and gyroscope data (recorded using the acquisition system) on the three basic types of movement – sitting, walking and running. Classification algorithm is realized in Matlab workspace. | en |
dc.format | text | cs |
dc.format.extent | 149-151 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 23st Conference STUDENT EEICT 2017. s. 149-151. ISBN 978-80-214-5496-5 | cs |
dc.identifier.isbn | 978-80-214-5496-5 | |
dc.identifier.uri | http://hdl.handle.net/11012/187065 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 23st Conference STUDENT EEICT 2017 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | Acquisition and classification of movement | en |
dc.subject | accelerometer | en |
dc.subject | gyroscope | en |
dc.subject | Arduino | en |
dc.subject | Matlab | en |
dc.title | Acquisition And Classification Of Motion | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 149_eeict2017.pdf
- Size:
- 680.03 KB
- Format:
- Adobe Portable Document Format
- Description: