Time invariant hand gesture recognition for human-computer interaction

Hand motion driven human-computer interface based on novel time-invariant gesture description is proposed. Description is represented as a sequence of overthreshold motion distribution histograms. Such description utilizes information about gesture spatial configuration and motion dynamics. K-neares...

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Main Authors: D. Kostyrev, S. Anischenko, M. Petrushan
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
Series:Труды Института системного программирования РАН
Subjects:
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/830
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author D. Kostyrev
S. Anischenko
M. Petrushan
author_facet D. Kostyrev
S. Anischenko
M. Petrushan
author_sort D. Kostyrev
collection DOAJ
description Hand motion driven human-computer interface based on novel time-invariant gesture description is proposed. Description is represented as a sequence of overthreshold motion distribution histograms. Such description utilizes information about gesture spatial configuration and motion dynamics. K-nearest-neighbour classifier was trained on six gesture types. Application for remote slideshow control was developed based on the proposed algorithm.
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spelling doaj.art-cdd55cfdd5e1425587945043b118e5772022-12-22T01:02:03ZengIvannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-012649911210.15514/ISPRAS-2014-26(4)-8830Time invariant hand gesture recognition for human-computer interactionD. Kostyrev0S. Anischenko1M. Petrushan2НИИ нейрокибернетики им. А.Б.Когана Академии биологии и биотехнологии Южного федерального университетаНИИ нейрокибернетики им. А.Б.Когана Академии биологии и биотехнологии Южного федерального университетаНИИ нейрокибернетики им. А.Б.Когана Академии биологии и биотехнологии Южного федерального университетаHand motion driven human-computer interface based on novel time-invariant gesture description is proposed. Description is represented as a sequence of overthreshold motion distribution histograms. Such description utilizes information about gesture spatial configuration and motion dynamics. K-nearest-neighbour classifier was trained on six gesture types. Application for remote slideshow control was developed based on the proposed algorithm.https://ispranproceedings.elpub.ru/jour/article/view/830человеко-компьютерное взаимодействиераспознавание жестовраспознавание динамических паттернов
spellingShingle D. Kostyrev
S. Anischenko
M. Petrushan
Time invariant hand gesture recognition for human-computer interaction
Труды Института системного программирования РАН
человеко-компьютерное взаимодействие
распознавание жестов
распознавание динамических паттернов
title Time invariant hand gesture recognition for human-computer interaction
title_full Time invariant hand gesture recognition for human-computer interaction
title_fullStr Time invariant hand gesture recognition for human-computer interaction
title_full_unstemmed Time invariant hand gesture recognition for human-computer interaction
title_short Time invariant hand gesture recognition for human-computer interaction
title_sort time invariant hand gesture recognition for human computer interaction
topic человеко-компьютерное взаимодействие
распознавание жестов
распознавание динамических паттернов
url https://ispranproceedings.elpub.ru/jour/article/view/830
work_keys_str_mv AT dkostyrev timeinvarianthandgesturerecognitionforhumancomputerinteraction
AT sanischenko timeinvarianthandgesturerecognitionforhumancomputerinteraction
AT mpetrushan timeinvarianthandgesturerecognitionforhumancomputerinteraction