Empirical study of a vision-based depth-sensitive human-computer interaction system

Farhadi-Niaki, Farzin; GhasemAghaei, Reza; Arya, Ali

doi:10.1145/2350046.2350070

Cited by 11 publications

(9 citation statements)

References 14 publications

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“…Farhadi-Niaki et al [22] used Kinect to perform typical desktop tasks through arm gestures. They performed a comprehensive user study, to compare the gesture-based interface to a traditional mouse and keyboard input setup.…”

Section: Evaluation and Study Of 3d User Interfacementioning

confidence: 99%

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3D User Interface Design and Usability for Immersive VR

2019

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This work presents a novel design of a new 3D user interface for an immersive virtual reality desktop and a new empirical analysis of the proposed interface using three interaction modes. The proposed novel dual-layer 3D user interface allows for user interactions with multiple screens portrayed within a curved 360-degree effective field of view available for the user. Downward gaze allows the user to raise the interaction layer that facilitates several traditional desktop tasks. The 3D user interface is analyzed using three different interaction modes, point-and-click, controller-based direct manipulation, and a gesture-based user interface. A comprehensive user study is performed within a mixed-methods approach for the usability and user experience analysis of all three user interaction modes. Each user interaction is quantitatively and qualitatively analyzed for simple and compound tasks in both standing and seated positions. The crafted mixed approach for this study allows to collect, evaluate, and validate the viability of the new 3D user interface. The results are used to draw conclusions about the suitability of the interaction modes for a variety of tasks in an immersive Virtual Reality 3D desktop environment.

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Section: Evaluation and Study Of 3d User Interfacementioning

confidence: 99%

“…Farhadi-Niaki et al [22,23] presented gesture-based system to control a common desktop using arms and fingers. Their study established the viability of using a gesture-based system for common desktop tasks and found that finger-based gestures are better suited compared to the arm-based gestures.…”

Section: Comparison Of Related Workmentioning

confidence: 99%

3D User Interface Design and Usability for Immersive VR

2019

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“…A vision-based gesture recognition prototype has been introduced by [11]. The system controls mouse pointer to deal with tasks related to WIMP (Windows, Icons, Menus, Pointers).…”

Section: Gesture-command Customizationmentioning

confidence: 99%

Teachme, A Gesture Recognition System with Customization Feature

Qattous¹,

Sowan²,

AlSheikSalem³

2016

ijacsa

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Abstract-Many presentation these days are done with the help of a presentation tool. Lecturers at Universities and researchers in conferences use such tools to order the flow of the presentation and to help audiences follow the presentation points. Presenters control the presentation tools using mouse and keyboard which keep the presenters always beside the computer machine to be close enough to the keyboard and mouse. This reduces the ability of the lecturer to move close to the audiences and reduces the eye contact with them. Moreover, using such traditional techniques in controlling presentation tools lack the communication naturalness. Several gesture recognition tools are introduced as solutions for these problems. However, these tools require the user to learn specific gestures to control the presentation and/or the mouse. These specific gestures can be considered as a gestures vocabulary for the gesture recognition system. This paper introduces a gesture recognition system, TeachMe, which controls Microsoft PowerPoint presentation tool and the mouse pointer.TeachMe also has a gesture customization feature that allows the user to customize some gestures according to his/her preference. TeachMe uses Kinect device as an interface for capturing gestures. This paper, specifically, discusses in details the techniques and factors taken into consideration for implementing the system and its customization feature.

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“…The introduction on the market of low-cost body-tracking technologies, based on RGB-D cameras, such as the Microsoft Kinect ® , has aroused great interest in many application fields such as: gaming and virtual reality [26], healthcare [27,28], natural user interfaces [29], education [30] and ergonomics [31][32][33]. Being an integrated device, it does not require calibration.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment

et al. 2021

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This paper introduces a low-cost and low computational marker-less motion capture system based on the acquisition of frame images through standard RGB cameras. It exploits the open-source deep learning model CMU, from the tf-pose-estimation project. Its numerical accuracy and its usefulness for ergonomic assessment are evaluated by a proper experiment, designed and performed to: (1) compare the data provided by it with those collected from a motion capture golden standard system; (2) compare the RULA scores obtained with data provided by it with those obtained with data provided by the Vicon Nexus system and those estimated through video analysis, by a team of three expert ergonomists. Tests have been conducted in standardized laboratory conditions and involved a total of six subjects. Results suggest that the proposed system can predict angles with good consistency and give evidence about the tool’s usefulness for ergonomist.

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Empirical study of a vision-based depth-sensitive human-computer interaction system

Cited by 11 publications

References 14 publications

3D User Interface Design and Usability for Immersive VR

3D User Interface Design and Usability for Immersive VR

Teachme, A Gesture Recognition System with Customization Feature

Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment

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