Automated detection of handovers using kinematic features

Autor:	Wesley P. Chan, Vidar Skjervøy, Elizabeth A. Croft, Matthew K. X. J. Pan, Masayuki Inaba
Rok vydání:	2017
Předmět:	0209 industrial biotechnology business.industry Computer science Applied Mathematics Mechanical Engineering Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Kinematics Object (computer science) Human–robot interaction Support vector machine 020901 industrial engineering & automation Artificial Intelligence Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Software ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	The International Journal of Robotics Research. 36:721-738
ISSN:	1741-3176 0278-3649
DOI:	10.1177/0278364917692865
Popis:	This paper investigates the use of kinematic motions recognized by a support vector machine (SVM) for the automatic detection of object handovers from the perspective of an object receiver. The cla...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2dc7e74126a9d1e1060b4f9161f72363 https://doi.org/10.1177/0278364917692865 Zobrazit plný text záznamu