Gesture-Based Interaction: Concept Map and Application Scenarios

Gallud, José A.; Villanueva, Pedro G.; Tesoriero, Ricardo; Sebastián, Gabriel; Molina, Sylvia; Navarrete, Ana

doi:10.1109/centric.2010.10

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Interactions by the traditional interactive tools like keyboard and mouse are insufficient and lag behind to completely involve the users [7][8] in interactive 3D VE. As hand gestures are adaptable and flexible, hence suitable for interactions in a VE [2,9].…”

Section: Related Workmentioning

confidence: 99%

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Thumb Inclination-Based Manipulation and Exploration, a Machine Learning Based Interaction Technique for Virtual Environments

Raees

Ullah

Rehman

et al. 2021

Mehran Univ. res. j. eng. technol.

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In the context of Virtual Reality (VR), interactions refer to the plausible actions in a Virtual Environment (VE). To have an engrossing interface, interactions by the gestures of hand are becoming prominent. With thisresearch work, a novel interaction technique is proposed where interactions are performed on the basis of the position of thumb in dynamic image stream. The technique needs no expensive tracker but an ordinary camera to trace hand movements and position of thumb. The interaction tasks are enacted in distinct interaction states, where the Angle of Inclination (AOI) of thumb is used for state-to-state transition. The angle is computed dynamically between the tip-of-thumb and the base of the Region of Interest (ROI) of an input image. The technique works in two phases: learning phase and application phase. In the learning phase, user-defined fist-postures with distinct AOI are learnt. The Support Vector Machine (SVM) classifier is trained by the AOI of the postures. In the application phase, interactions are performed in distinct interaction states whereas a particular state is activated by posing the known posture. To follow the trajectory of thumb, dynamic mapping is performed to control a virtual hand by the position of thumb in the input image. The technique is implemented in a Visual Studio project called Thumb-Based Interaction for Virtual Environments (TIVE). The project was evaluated by a group of 15 users in a moderate lighting condition. The 89.7% average accuracy rate of the evaluation proves suitability of the technique in the wide range VR applications.

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Section: Related Workmentioning

confidence: 99%

“…With the privilege of interactions, a user sustains the belief of being there and takes a virtual world as a near-to-real world. By now, it has been proved that gesture-based interactions are suitable for 3D (Three Dimensional) interactions in a VE [1,2]. 3D interaction can either be direct or indirect.…”

Section: Introductionmentioning

confidence: 99%

Thumb Inclination-Based Manipulation and Exploration, a Machine Learning Based Interaction Technique for Virtual Environments

Raees

Ullah

Rehman

et al. 2021

Mehran Univ. res. j. eng. technol.

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“…As interactions with technology reaches beyond the bounds of Graphical User Interfaces, the need for interaction between Human and Computer to become more natural is growing [12].…”

Section: Gesture Based Computer Interfacesmentioning

confidence: 99%

“…Body-Language is observed as a distinct characteristic of the body being used; this can also refer to such things as pose/form and proximity. Finally, Sound-language refers to features with sound quality, an example is silence, such in the absence of sound or action can be interpreted as having meaning [12].…”

Section: Gesture Classificationsmentioning

confidence: 99%

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The classification of gesture interactions and the study of their ergonomic effect on hands

Chau¹

2021

Preprint

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In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.

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