Human Activity Recognition for Sport Training Machines

Autor:	Nikita Bazhenov, Egor Rybin, Dmitry Korzun
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	video service video surveillance video data video camera video stream simple event complex event real time smart video services video server edge centric video analytics local video data processing training equipment training machine bench press ehealth mhealth demo Telecommunication TK5101-6720
Zdroj:	Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 328-331 (2022)
Druh dokumentu:	article
ISSN:	2305-7254 2343-0737
DOI:	10.5281/zenodo.7368472
Popis:	Modern video surveillance systems (VSS) can recognize a person and her/his activity. A particular example of such a VSS system is the monitoring and support of human health and wellbeing during exercise with sports equipment. In this work-inprogress paper, a prototype of the VSS system is demonstrated for monitoring the movement of a person around the sport training machine. For the recognition problem we consider the following situations: a) training machine is free (no person is close to the machine); b) a person is in the area near the training machine (but not in the working area); c) a person is in the working area of training machine (but the training machine is not used); d) a person is working on the training machine. Our early experimental study evaluates the feasibility of such a VSS system.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/06d0d3baa2504852b2043ecc02a996ed Zobrazit plný text záznamu View record in DOAJ