001446526 000__ 04456cam\a2200577\a\4500
001446526 001__ 1446526
001446526 003__ OCoLC
001446526 005__ 20230310004003.0
001446526 006__ m\\\\\o\\d\\\\\\\\
001446526 007__ cr\un\nnnunnun
001446526 008__ 220507s2022\\\\si\\\\\\o\\\\\101\0\eng\d
001446526 019__ $$a1314256790$$a1314429478
001446526 020__ $$a9789811903618$$q(electronic bk.)
001446526 020__ $$a9811903611$$q(electronic bk.)
001446526 020__ $$z9789811903601
001446526 020__ $$z9811903603
001446526 0247_ $$a10.1007/978-981-19-0361-8$$2doi
001446526 035__ $$aSP(OCoLC)1314623000
001446526 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dOCLCQ
001446526 049__ $$aISEA
001446526 050_4 $$aTK7882.P3
001446526 08204 $$a006.4$$223/eng/20220513
001446526 1112_ $$aInternational Conference on Activity and Behavior Computing$$n(3rd :$$d2021 :$$cOnline)
001446526 24510 $$aSensor- and video-based activity and behavior computing :$$bproceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) /$$cMd Atiqur Rahman Ahad, Sozo Inoue, Daniel Roggen, Kaori Fujinami, editors.
001446526 2463_ $$aABC 2021
001446526 260__ $$aSingapore :$$bSpringer,$$c2022.
001446526 300__ $$a1 online resource (268 pages)
001446526 336__ $$atext$$btxt$$2rdacontent
001446526 337__ $$acomputer$$bc$$2rdamedia
001446526 338__ $$aonline resource$$bcr$$2rdacarrier
001446526 4901_ $$aSmart Innovation, Systems and Technologies ;$$vv. 291
001446526 500__ $$aIncludes author index.
001446526 5050_ $$aChapter 1. Toward the Analysis of Office Workers 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.
001446526 506__ $$aAccess limited to authorized users.
001446526 520__ $$aThis book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 2022 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 recognitionboth in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing.
001446526 650_0 $$aHuman activity recognition$$vCongresses.
001446526 650_0 $$aHuman-robot interaction$$vCongresses.
001446526 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001446526 655_0 $$aElectronic books.
001446526 7001_ $$aAhad, Atiqur Rahman.
001446526 7001_ $$aInoue, Sozo.
001446526 7001_ $$aRoggen, Daniel.
001446526 7001_ $$aFujinami, Kaori.
001446526 77608 $$iPrint version:$$aAhad, Atiqur Rahman.$$tSensor- and Video-Based Activity and Behavior Computing.$$dSingapore : Springer, ©2022$$z9789811903601
001446526 830_0 $$aSmart innovation, systems, and technologies ;$$v291.
001446526 852__ $$bebk
001446526 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0361-8$$zOnline Access$$91397441.1
001446526 909CO $$ooai:library.usi.edu:1446526$$pGLOBAL_SET
001446526 980__ $$aBIB
001446526 980__ $$aEBOOK
001446526 982__ $$aEbook
001446526 983__ $$aOnline
001446526 994__ $$a92$$bISE