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008 150114s2015 gw | s |||| 0|eng d
020 _a9783319142746
024 7 _a10.1007/978-3-319-14274-6
_2doi
040 _bspa
_dES-MaUEC
050 4 _aTK7882.P7
_bR494 2015 EB
100 1 _aReyes Ortiz, Jorge Luis.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/59092222/
245 1 0 _aSmartphone-Based Human Activity Recognition
_cby Jorge Luis Reyes Ortiz.
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XXIII, 133 páginas 31 ilustraciones, 2 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
490 0 _aEngineering (Springer-11647)
505 0 _aHuman Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
520 3 _aThe book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
988 _aEBSPRINGER_2018
650 7 _9668197
_aDetectores de proximidad
776 0 8 _iEdición impresa:
_z9783319142753
776 0 8 _iEdición impresa:
_z9783319142739
776 0 8 _iEdición impresa:
_z9783319367705
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-14274-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_eIG
_zSI