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020			_a9789811605758
024	7		_a10.1007/978-981-16-0575-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	0	0	_aDeep Learning for Human Activity Recognition : _bSecond International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings _cedited by Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 139 páginas) _b51 ilustraciones, 49 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aCommunications in Computer and Information Science _x1865-0929 _v1370
505	0		_aHuman Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark -- Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks -- Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition -- Personalization Models for Human Activity Recognition With Distribution Matching-Based Metrics -- Resource-Constrained Federated Learning with Heterogeneous Labels and Models for Human Activity Recognition -- ARID: A New Dataset for Recognizing Action in the Dark -- Single Run Action Detector over Video Stream - A Privacy Preserving Approach -- Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition -- Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes -- Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.
520	3		_aThis book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.
988			_aSpringer_Computer_2021
650		7	_2embne _aAprendizaje automático _9166090
650		7	_2embne _aReconocimiento de formas _9152614
700	1		_aLi, Xiaoli _eeditor literario _0(orcid)0000-0002-0762-6562 _1https://orcid.org/0000-0002-0762-6562 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWu, Min _eeditor literario _0(orcid)0000-0003-0977-3600 _1https://orcid.org/0000-0003-0977-3600 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChen, Zhenghua _eeditor literario _0(orcid)0000-0002-1719-0328 _1https://orcid.org/0000-0002-1719-0328 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZhang, Le _eeditor literario _0(orcid)0000-0002-6930-8674 _1https://orcid.org/0000-0002-6930-8674 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9789811605741
776	0	8	_iPrinted edition: _z9789811605765
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0575-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2021 _dz _eIG _zSI