Temat: hand gesture recognition

Skocz do pozycji: 1.

Tytuł:: Rozpoznawanie gestów rąk w układzie wizyjnym
Vision-based hand gesture recognition
Autorzy:: Kapuściński, T.
Marnik, J.
Wysocki, M.
Tematy:: wizja komputerowa
komunikacja człowiek-maszyna
rozpoznawanie gestów rąk
computer vision
human-computer interface
hand gesture recognition; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/156334.pdf Link otwiera się w nowym oknie
Opis:: Przedstawiono wyniki prac autorów, dotyczące rozpoznawania kształtu dłoni, wskazań obiektów oraz gestów dynamicznych, przydatnych w robotyce.
The paper considers vision-based hand gesture interfaces. Results obtained by the authors, concerning recognition of hand posture, pointing direction, and some dynamic gestures useful in robotics are presented.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Applying hand gesture recognition with time-of-flight camera for 3D medical data analysis
Autorzy:: Malawski, F.
Tematy:: human-computer interaction
hand gesture recognition
time-of-flight camera
interakcja człowiek-komputer
rozpoznawanie gestów dłoni
czas przelotu kamery; Pokaż więcej
Wydawca:: Fundacja na Rzecz Młodych Naukowców
Powiązania:: https://bibliotekanauki.pl/articles/115723.pdf Link otwiera się w nowym oknie
Opis:: This paper describes a human-computer interface based on hand gesture recognition, intended for analysis of 3D medical data. The gestures are designed to minimize the required muscle tension when using the system. Gesture recognition is based on a 3D sensor. Depth maps are acquired by a time-of-flight camera, designed specifically for hand gestures recognition. The depth images are denoised and segmented to right and left hand. The contours of the hands are found and a modified Shape Context descriptor is utilized for each hand, providing a set of features, which are employed to train and test various classifiers. Naive Bayes, Random Forest and Support Vector Machine (SVM) classifiers are utilized, with search of optimal parameters using cross-validation. The best accuracy (95%) is achieved with the Support Vector Machine classifier. The gestures are mapped to various controls of a 3D medical visualization module. Two visualization methods are employed - isosurface and cut-planes. The left hand is assigned to switching between different control modes and the right hand gestures are corresponding to controlling various properties in each mode. The system is convenient to use and runs in real-time on a typical PC machine.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Tracking of dynamic gesture fingertips positionin video sequence
Autorzy:: Grzejszczak, Tomasz
Molle, Reinhard
Roth, Robert
Tematy:: hand landmarks
tracking
fingertip detection
hand gesture
gesture recognition
HMI
HCI; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/229279.pdf Link otwiera się w nowym oknie
Opis:: The field of research of this paper combines Human Computer Interface, gesture recognition and fingertips tracking. Most gesture recognition algorithms processing color images are unable to locate folded fingers hidden inside hand contour. With use of hand landmarks detection and localization algorithm, processing directional images, the fingertips are tracked whether they are risen or folded inside the hand contour. The capabilities of the method, repeatibility and accuracy, are tested with use of 3 gestures that are recorded on the USB camera. Fingertips are tracked in gestures presenting a linear movement of an open hand, finger folding into fist and clenched fist movement. In conclusion, a discussion of accuracy in application to HCI is presented.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Hands poses recognition as a mean of communication within natural user interfaces
Autorzy:: Wojciechowski, A.
Tematy:: hand’s pose recognition
natural user interface
gesture-based interface; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/201290.pdf Link otwiera się w nowym oknie
Opis:: Natural user interface (NUI) is a successor of command line interfaces (CLI) and graphical user interfaces (GUI) so well known to computer users. A new natural approach is based on extensive human behaviors tracking, where hand tracking and gesture recognition seem to play the main roles in communication. The presented paper reviews common approaches to discussed hand features tracking and provides a very effective proposal of the contour based hand’s poses recognition method which can be straightforwardly used for a hand-based natural user interface. Its possible usage varies from medical systems interaction, through games up to impaired people communication support.
Dostawca treści:: Biblioteka Nauki

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