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[en] A COMPUTER VISION APPLICATION FOR HAND-GESTURES HUMAN COMPUTER INTERACTION / [pt] UMA APLICAÇÃO DE VISÃO COMPUTACIONAL QUE UTILIZA GESTOS DA MÃO PARA INTERAGIR COM O COMPUTADORMICHEL ALAIN QUINTANA TRUYENQUE 15 June 2005 (has links)
[pt] A Visão Computacional pode ser utilizada para capturar
gestos e criar
dispositivos de interação com computadores mais intuitivos
e rápidos. Os
dispositivos comerciais atuais de interação baseados em
gestos utilizam
equipamentos caros (dispositivos de seguimento, luvas,
câmeras especiais,
etc.) e ambientes especiais que dificultam a difusão para
o público em geral.
Este trabalho apresenta um estudo sobre a viabilidade de
utilizarmos câmeras
Web como dispositivo de interação baseado em gestos da
Mão. Em nosso
estudo consideramos que a mão humana está limpa, isto é,
sem nenhum
dispositivo (mecânico, magnético ou óptico) colocado nela.
Consideramos
ainda que o ambiente onde ocorre a interação tem as
características de um
ambiente de trabalho normal, ou seja, sem luzes ou panos
de fundo especiais.
Para avaliar a viabilidade deste mecanismo de interação,
desenvolvemos
alguns protótipos. Neles os gestos da mão e as posições
dos dedos são
utilizados para simular algumas funções presentes em
mouses e teclados, tais
como selecionar estados e objetos e definir direções e
posições. Com base
nestes protótipos apresentamos algumas conclusões e
sugestões para
trabalhos futuros. / [en] Computer Vision can be used to capture gestures and create
more
intuitive and faster devices to interact with computers.
Current commercial
gesture-based interaction devices make use of expensive
equipment (tracking
devices, gloves, special cameras, etc.) and special
environments that make the
dissemination of such devices to the general public
difficult. This work presents
a study on the feasibility of using Web cameras as
interaction devices based
on hand-gestures. In our study, we consider that the hand
is clean, that is, it
has no (mechanical, magnetic or optical) device. We also
consider that the
environment where the interaction takes place has the
characteristics of a
normal working place, that is, without special lights or
backgrounds. In order to
evaluate the feasibility of such interaction mechanism, we
have developed
some prototypes of interaction devices. In these
prototypes, hand gestures and
the position of fingers were used to simulate some mouse
and keyboard
functions, such as selecting states and objects, and
defining directions and
positions. Based on these prototypes, we present some
conclusions and
suggestions for future works.
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Rozpoznání gest ruky v obrazu / Hand gesticulation recognition in imageMráz, Stanislav January 2011 (has links)
This master’s thesis is dealing with recognition of an easy static gestures in order to computer controlling. First part of this work is attended to the theoretical review of methods used to hand segmentation from the image. Next methods for hang gesture classification are described. The second part of this work is devoted to choice of suitable method for hand segmentation based on skin color and movement. Methods for hand gesture classification are described in next part. Last part of this work is devoted to description of proposed system.
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Creating Good User Experience in a Hand-Gesture-Based Augmented Reality Game / Användbarhet i ett handgestbaserat AR-spelLam, Benny, Nilsson, Jakob January 2019 (has links)
The dissemination of new innovative technology requires feasibility and simplicity. The problem with marker-based augmented reality is similar to glove-based hand gesture recognition: they both require an additional component to function. This thesis investigates the possibility of combining markerless augmented reality together with appearance-based hand gesture recognition by implementing a game with good user experience. The methods employed in this research consist of a game implementation and a pre-study meant for measuring interactive accuracy and precision, and for deciding upon which gestures should be utilized in the game. A test environment was realized in Unity using ARKit and Manomotion SDK. Similarly, the implementation of the game used the same development tools. However, Blender was used for creating the 3D models. The results from 15 testers showed that the pinching gesture was the most favorable one. The game was evaluated with a System Usability Scale (SUS) and received a score of 70.77 among 12 game testers, which indicates that the augmented reality game, which interaction method is solely based on bare-hands, can be quite enjoyable.
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