001446180 000__ 03742cam\a2200553Ii\4500
001446180 001__ 1446180
001446180 003__ OCoLC
001446180 005__ 20230310003943.0
001446180 006__ m\\\\\o\\d\\\\\\\\
001446180 007__ cr\un\nnnunnun
001446180 008__ 220426s2022\\\\si\a\\\\ob\\\\000\0\eng\d
001446180 020__ $$a9789811922909$$q(electronic bk.)
001446180 020__ $$a981192290X$$q(electronic bk.)
001446180 020__ $$z9789811922893$$q(print)
001446180 0247_ $$a10.1007/978-981-19-2290-9$$2doi
001446180 035__ $$aSP(OCoLC)1312664192
001446180 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ
001446180 049__ $$aISEA
001446180 050_4 $$aTK7882.P7
001446180 08204 $$a006.3/7$$223/eng/20220426
001446180 1001_ $$aHu, Zhongxu,$$eauthor.
001446180 24510 $$aVision-based human activity recognition /$$cZhongxu Hu, Chen Lv.
001446180 264_1 $$aSingapore :$$bSpringer,$$c2022.
001446180 300__ $$a1 online resource (x, 121 pages) :$$billustrations (some color).
001446180 336__ $$atext$$btxt$$2rdacontent
001446180 337__ $$acomputer$$bc$$2rdamedia
001446180 338__ $$aonline resource$$bcr$$2rdacarrier
001446180 4901_ $$aSpringerBriefs in intelligent systems. Artificial intelligence, multiagent systems, and cognitive robotics,$$x2196-5498
001446180 504__ $$aIncludes bibliographical references.
001446180 5050_ $$a1. Introduction -- 2. Vision-based hand gesture recognition -- 3. Vision-based facial state recognition -- 4. Vision-based body activity recognition -- 5. Human attention modelling -- 6. Conclusion and future work.
001446180 506__ $$aAccess limited to authorized users.
001446180 520__ $$aThis book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human-machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.
001446180 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 26, 2022).
001446180 650_0 $$aHuman activity recognition.
001446180 650_0 $$aHuman-computer interaction.
001446180 650_0 $$aAmbient intelligence.
001446180 650_0 $$aComputer vision.
001446180 650_6 $$aReconnaissance de l'activité humaine (Informatique)
001446180 650_6 $$aIntelligence ambiante.
001446180 650_6 $$aVision par ordinateur.
001446180 655_0 $$aElectronic books.
001446180 7001_ $$aLv, Chen,$$eauthor.
001446180 830_0 $$aSpringerBriefs in intelligent systems.$$pArtificial intelligence, multiagent systems, and cognitive robotics,$$x2196-5498
001446180 852__ $$bebk
001446180 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2290-9$$zOnline Access$$91397441.1
001446180 909CO $$ooai:library.usi.edu:1446180$$pGLOBAL_SET
001446180 980__ $$aBIB
001446180 980__ $$aEBOOK
001446180 982__ $$aEbook
001446180 983__ $$aOnline
001446180 994__ $$a92$$bISE