Hand gesture interaction using color-based method for tabletop interfaces

Bellarbi, Abdelkader; Benbelkacem, Samir; Zenati-Henda, Nadia; Belhocine, Mahmoud

doi:10.1109/wisp.2011.6051717

Cited by 34 publications

(25 citation statements)

References 25 publications

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“…These techniques are utilized in a number of gesture recognition systems [4,51]. The difficulty of hand region extraction heavily depends on the lighting and background conditions imposed during image acquisition, and in many works on gesture recognition a controlled background is assumed [54] or the hand region extraction is simplified using some markers [2]. This step can also be handled using infrared thermal imaging in order to segment a region characterized with the human body temperature [45,46].…”

Section: Gesture Recognition Processmentioning

confidence: 99%

Hand landmarks detection and localization in color images

Grzejszczak

Kawulok

Gałuszka

2015

Multimed Tools Appl

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This paper introduces a new method for detecting and localizing hand landmarks in 2D color images. Location of the hand landmarks is an important source of information for recognizing hand gestures, effectively exploited in a number of recent methods which operate from the depth maps. However, this problem has not yet been satisfactorily solved for 2D color images. Here, we propose to analyze the skin-presence masks, as well as the directional image of a hand using the distance transform and template matching. This makes it possible to detect the landmarks located both at the contour and inside the hand masks. Moreover, we performed an extensive experimental study to compare the proposed method with a number of state-of-the-art algorithms. The obtained quantitative and qualitative results clearly indicate that our approach outperforms other methods, which may help improve the existing gesture recognition systems.

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Section: Gesture Recognition Processmentioning

confidence: 99%

Hand landmarks detection and localization in color images

Grzejszczak

Kawulok

Gałuszka

2015

Multimed Tools Appl

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“…The practical tests were conducted on several devices where the features are given in table 2. Note that we have conducted a preliminary evaluation with only eight (8) subjects in order to demonstrate the feasibility of the approach. In future evaluation we intend to increase the number of the subjects with different level of experience.…”

Section: Q1mentioning

confidence: 99%

“…The eight (8) subjects have completed the questionnaire after the tests: this one is composed of eight (8) questions. Participants answer each question with a scale of 1 to 5 (5: strongly agree, 4: agree, 3: average 2: slightly disagree, 1: completely disagree).…”

Section: ) Qualitative Evaluationmentioning

confidence: 99%

“…We can also interact without contact with the display surface interaction. Some systems require only the position and orientation [6,7,8] of the hand, other ones need a learning gestures phase [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Other ones are vision based, using different vision algorithms [8,10]. The accuracy is less important, however, with low cost.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design and evaluation of a low-cost 3D interaction technique for wearable and handled AR devices

Bellarbi¹,

Benbelkacem²,

Belghit³

et al. 2014

2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)

Self Cite

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Techniques that enable user interaction with a mixed environment in natural way and low-cost may provide a great potential to increase the degree of virtual presence. In this paper, we present a low-cost 3D interaction technique based on ARToolKit planar marker in order to interact with mixed reality environment, and manipulate 3D virtual object. This proposed method that we called "2 in 1 Marker" offers a six-degree of freedom, and it allows the user to perform different interaction tasks. An evaluation study of the proposed interaction technique is given in this paper to evaluate the user performance using wearable and handheld devices.

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Zoom‐fwd: Efficient technique for 3D gestual interaction with distant and occluded objects in virtual reality

Messaci

Zenati

Belhocine

et al. 2021

Computer Animation & Virtual

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In the last decade, there has been an extraordinary acceleration in immersive technologies, including virtual reality (VR) and augmented reality (AR). The VR interfaces have widely explored various 3D interaction‐based approaches. 3D interaction is one of the main features of any VR system. However, the problems while selecting and manipulating distant and occluded 3D virtual objects in VR are still unresolved and suffer from a lack of precision and accuracy. To interact with VR/AR systems, various devices such as VR headsets or gloves are used. These devices are not very reliable yet; in fact they are inconvenient and invasive to a person's comfort. Currently, the natural user interfaces (NUIs) are increasingly introduced in human computer interaction (HCI) systems as gestures recognition, which prove to be very useful in the improvement of the user engagement and presence sensing. More particularly, they provide more user‐friendly and nonintrusive 3D interaction methods and techniques. In this article, the Zoom‐fwd, which is an efficient 3D interaction technique is presented. The proposed technique uses gesture recognition for different 3D interaction tasks like selection and manipulation. This new approach allows an efficient interaction with distant and occluded objects, while providing a precise selection, even when the environment is crowded. The Zoom‐fwd technique is a software solution for a number of hardware and software problems. A user study is conducted to determine whether the proposed technique is more suitable when performing interaction tasks. The results show that the Zoom‐fwd technique provides effective interaction with distant and occluded objects, by improving the user task completion performance. In addition, this indicates that selection precision has been enhanced significantly with the Zoom‐fwd technique.

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Hand gesture interaction using color-based method for tabletop interfaces

Cited by 34 publications

References 25 publications

Hand landmarks detection and localization in color images

Hand landmarks detection and localization in color images

Design and evaluation of a low-cost 3D interaction technique for wearable and handled AR devices

Zoom‐fwd: Efficient technique for 3D gestual interaction with distant and occluded objects in virtual reality

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