A real-time gesture recognition system using near-infrared imagery
Autoři:
Tomás Mantecón aff001; Carlos R. del-Blanco aff001; Fernando Jaureguizar aff001; Narciso García aff001
Působiště autorů:
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center and ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
aff001
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0223320
Souhrn
Visual hand gesture recognition systems are promising technologies for Human Computer Interaction, as they allow a more immersive and intuitive interaction. Most of these systems are based on the analysis of skeleton information, which is in turn inferred from color, depth, or near-infrared imagery. However, the robust extraction of skeleton information from images is only possible for a subset of hand poses, which restricts the range of gestures that can be recognized. In this paper, a real-time hand gesture recognition system based on a near-infrared device is presented, which directly analyzes the infrared imagery to infer static and dynamic gestures, without using skeleton information. Thus, a much wider range of hand gestures can be recognized in comparison with skeleton-based approaches. To validate the proposed system, a new dataset of near-infrared imagery has been created, from which good results that outperform other state-of-the-art strategies have been obtained.
Klíčová slova:
Hidden Markov models – Cameras – Fingers – Nonverbal communication – Semiotics – k means clustering
Zdroje
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