000			04543nam a22004935i 4500
999			_c381708 _d381708
001			381708
003			ES-MaUEC
005			20230102121916.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			220503s2022 si | s |||| 0|eng d
020			_a9789811903618
024	7		_a10.1007/978-981-19-0361-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050			_aTK7882.P3 _b2022 EB
245	1	0	_aSensor- and Video-Based Activity and Behavior Computing : _bProceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) _cedited by Md Atiqur Rahman Ahad, Sozo Inoue, Daniel Roggen, Kaori Fujinami
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 264 páginas) _b113 ilustraciones, 106 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3026 _v291
505	0		_aChapter 1. Toward the Analysis of Office Worker's Mental Indicators Based on Activity Data -- Chapter 2. Open-Source Data Collection for Activity Studies at Scale -- Chapter 3. Using LUPI to Improve Complex Activity Recognition -- Chapter 4. Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer -- Chapter 5. Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device -- Chapter 6. BoxerSense: Punch Detection and Classification Using IMUs -- Chapter 7. FootbSense: Soccer Moves Identification Using a Single IMU -- Chapter 8. A data-driven approach for online pre-impact fall detection with wearable devices -- Chapter 9. Modeling Reminder System for Dementia by Reinforcement Learning -- Chapter 10. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity? -- Chapter 11. Identification of Food Packaging Activity Using MoCap Sensor Data -- Chapter 12. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features -- Chapter 13. Bento Packaging Activity Recognition Based on Statistical Features -- Chapter 14. Using k-Nearest-Neighbors Feature Selection for Activity Recognition -- Chapter 15. Bento Packaging Activity Recognition from Motion Capture Data -- Chapter 16. Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote -- Chapter 17. Summary of the Bento Packaging Activity Recognition Challenge.
520			_aThis book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20-22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition-both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing. .
988			_aSpringer_Robotics_2022
650		7	_2embne _9681178 _aReconocimiento facial (Informática)
650		7	_2embne _9155848 _aInteracción hombre-ordenador
650		7	_2embne _9152614 _aReconocimiento de formas
700	1		_aAhad, Md Atiqur Rahman _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aInoue, Sozo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRoggen, Daniel _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFujinami, Kaori _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811903601
776	0	8	_iPrinted edition: _z9789811903625
776	0	8	_iPrinted edition: _z9789811903632
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-0361-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI