Applications of hand feature points detection and localization algorithms

Tomasz Grzejszczak; Michał Niezabitowski

doi:10.1051/matecconf/20165602009

Applications of hand feature points detection and localization algorithms

Katedra Automatyki i Robotyki (RAU/RAU3)

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

1 Cytowanie z bazy Scopus

Abstrakt

Growing interest in hand gesture recognition system, bring new possibilities in developing new ways of intuitive control. Controlling the everyday surrounding can be much easier with use of natural body language. This article presents the review of hand gestures systems basing on color images, focusing on hand feature points detection. Additionally, the ways of hand feature points control possibilities are discussed, along with possible examples of hand gestures control. Hand gestures are introduced with discussion about their usage in everyday equipment control.

Język oryginału	angielski
Numer artykułu	02009
Czasopismo	MATEC Web of Conferences
Tom	56
Identyfikatory DOI	https://doi.org/10.1051/matecconf/20165602009
Status publikacji	Opublikowano - 26 kwi 2016
Wydarzenie	2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016 - Melbourne, Australia Czas trwania: 3 mar 2016 → 4 mar 2016

Obszary tematyczne ASJC Scopus

Chemia ogólna
Materiałoznawstwo ogólne
Inżynieria ogólna

Uzyskaj dostęp do dokumentu

10.1051/matecconf/20165602009

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@article{d8ca415e9072489a9cedffff80f9a6d4,

title = "Applications of hand feature points detection and localization algorithms",

abstract = "Growing interest in hand gesture recognition system, bring new possibilities in developing new ways of intuitive control. Controlling the everyday surrounding can be much easier with use of natural body language. This article presents the review of hand gestures systems basing on color images, focusing on hand feature points detection. Additionally, the ways of hand feature points control possibilities are discussed, along with possible examples of hand gestures control. Hand gestures are introduced with discussion about their usage in everyday equipment control.",

author = "Tomasz Grzejszczak and Micha{\l} Niezabitowski",

note = "Publisher Copyright: {\textcopyright} 2016 Owned by the authors, published by EDP Sciences.; 2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016 ; Conference date: 03-03-2016 Through 04-03-2016",

year = "2016",

month = apr,

day = "26",

doi = "10.1051/matecconf/20165602009",

language = "English",

volume = "56",

journal = "MATEC Web of Conferences",

issn = "2261-236X",

publisher = "EDP Sciences",

}

TY - JOUR

T1 - Applications of hand feature points detection and localization algorithms

AU - Grzejszczak, Tomasz

AU - Niezabitowski, Michał

PY - 2016/4/26

Y1 - 2016/4/26

N2 - Growing interest in hand gesture recognition system, bring new possibilities in developing new ways of intuitive control. Controlling the everyday surrounding can be much easier with use of natural body language. This article presents the review of hand gestures systems basing on color images, focusing on hand feature points detection. Additionally, the ways of hand feature points control possibilities are discussed, along with possible examples of hand gestures control. Hand gestures are introduced with discussion about their usage in everyday equipment control.

AB - Growing interest in hand gesture recognition system, bring new possibilities in developing new ways of intuitive control. Controlling the everyday surrounding can be much easier with use of natural body language. This article presents the review of hand gestures systems basing on color images, focusing on hand feature points detection. Additionally, the ways of hand feature points control possibilities are discussed, along with possible examples of hand gestures control. Hand gestures are introduced with discussion about their usage in everyday equipment control.

UR - https://www.scopus.com/pages/publications/84969247026

U2 - 10.1051/matecconf/20165602009

DO - 10.1051/matecconf/20165602009

M3 - Conference article

AN - SCOPUS:84969247026

SN - 2261-236X

VL - 56

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 02009

T2 - 2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016

Y2 - 3 March 2016 through 4 March 2016

ER -

Applications of hand feature points detection and localization algorithms

Abstrakt

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie