Browsing by Subject "Hand gesture"
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Item Open Access Collaborating with elderly end-users in the design process(Springer, London, 2000) Demirbilek, O.; Demirkan, Halime; Scrivener, S. A. R.; Ball, L. J.; Woodcock, A.The fact that end-users can participate and contribute to the design process, was pointed out in previous studies on user participation to the design process conducted by Cavanagh (1996), Ciccantelli and Magidson (1993), Mitchell (1995), Morini and Pomposini (1996), and Reich et al (1996). For Howes, et al (1998), participatory design is a design methodology, European in origin, giving an important contributory role to the end-user in the development of products they would eventually use. This paper presents a study (Demirbilek, 1999) in which elderly end-users were invovled in the design process by means of participatory design sessions. In these sessions, the expertise of designers and the comments and ideas of elderly end-users were applied to how doors and door handles for domestic use should be designed. Two different design sessions were run for each group of elderly end-users.Item Open Access A hand gesture recognition technique for human-computer interaction(Academic Press, 2015) Kılıboz, N. Ç.; Güdükbay, UğurWe propose an approach to recognize trajectory-based dynamic hand gestures in real time for human-computer interaction (HCI). We also introduce a fast learning mechanism that does not require extensive training data to teach gestures to the system. We use a six-degrees-of-freedom position tracker to collect trajectory data and represent gestures as an ordered sequence of directional movements in 2D. In the learning phase, sample gesture data is filtered and processed to create gesture recognizers, which are basically finite-state machine sequence recognizers. We achieve online gesture recognition by these recognizers without needing to specify gesture start and end positions. The results of the conducted user study show that the proposed method is very promising in terms of gesture detection and recognition performance (73% accuracy) in a stream of motion. Additionally, the assessment of the user attitude survey denotes that the gestural interface is very useful and satisfactory. One of the novel parts of the proposed approach is that it gives users the freedom to create gesture commands according to their preferences for selected tasks. Thus, the presented gesture recognition approach makes the HCI process more intuitive and user specific.Item Open Access HandVR: a hand-gesture-based interface to a video retrieval system(Springer U K, 2015) Genç, S.; Baştan M.; Güdükbay, Uğur; Atalay, V.; Ulusoy, ÖzgürUsing one’s hands in human–computer interaction increases both the effectiveness of computer usage and the speed of interaction. One way of accomplishing this goal is to utilize computer vision techniques to develop hand-gesture-based interfaces. A video database system is one application where a hand-gesture-based interface is useful, because it provides a way to specify certain queries more easily. We present a hand-gesture-based interface for a video database system to specify motion and spatiotemporal object queries. We use a regular, low-cost camera to monitor the movements and configurations of the user’s hands and translate them to video queries. We conducted a user study to compare our gesture-based interface with a mouse-based interface on various types of video queries. The users evaluated the two interfaces in terms of different usability parameters, including the ease of learning, ease of use, ease of remembering (memory), naturalness, comfortable use, satisfaction, and enjoyment. The user study showed that querying video databases is a promising application area for hand-gesture-based interfaces, especially for queries involving motion and spatiotemporal relations.Item Open Access Which shape representation is the best for real-time hand interface system?(Springer, Berlin, Heidelberg, 2009) Genç, Serkan; Atalay V.Hand is a very convenient interface for immersive human-computer interaction. Users can give commands to a computer by hand signs (hand postures, hand shapes) or hand movements (hand gestures). Such a hand interface system can be realized by using cameras as input devices, and software for analyzing the images. In this hand interface system, commands are recognized by analyzing the hand shapes and its trajectories in the images. Therefore, success of the recognition of hand shape is vital and depends on the discriminative power of the hand shape representation. There are many shape representation techniques in the literature. However, none of them are working properly for all shapes. While a representation leads to a good result for a set of shapes, it may fail in another one. Therefore, our aim is to find the most appropriate shape representation technique for hand shapes to be used in hand interfaces. Our candidate representations are Fourier Descriptors, Hu Moment Invariant, Shape Descriptors and Orientation Histogram. Based on widely-used hand shapes for an interface, we compared the representations in terms of their discriminative power and speed. © 2009 Springer-Verlag.