Interactive white board using gestures with KINECT

Ahsan, Ahtasham; Najam, Shaheryar; Ahmed, Jameel; Najam, Zohaib

doi:10.1109/iceeot.2016.7754805

Cited by 6 publications

(1 citation statement)

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“…By way of example, we interact with sensors such as the Microsoft Kinect to give instructions using full-body gestures when playing Active Video Games (AVG) [ 2 ], when visiting interactive museum exhibitions [ 3 ], or when using digital whiteboards in the classroom [ 4 ]. Such sensors are also incredibly useful in the field of healthcare; the Microsoft Kinect sensor can be used as part of a motion capture system to assist with physical exercise, or likewise with physical therapy and patient rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Full-Body Gestures Performed by Individuals with Down Syndrome: Proposal for Designing User Interfaces for All Based on Kinect Sensor

Rio

Martín-Gutiérrez

2020

Sensors

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The ever-growing and widespread use of touch, face, full-body, and 3D mid-air gesture recognition sensors in domestic and industrial settings is serving to highlight whether interactive gestures are sufficiently inclusive, and whether or not they can be executed by all users. The purpose of this study was to analyze full-body gestures from the point of view of user experience using the Microsoft Kinect sensor, to identify which gestures are easy for individuals living with Down syndrome. With this information, app developers can satisfy Design for All (DfA) requirements by selecting suitable gestures from existing lists of gesture sets. A set of twenty full-body gestures were analyzed in this study; to do so, the research team developed an application to measure the success/failure rates and execution times of each gesture. The results show that the failure rate for gesture execution is greater than the success rate, and that there is no difference between male and female participants in terms of execution times or the successful execution of gestures. Through this study, we conclude that, in general, people living with Down syndrome are not able to perform certain full-body gestures correctly. This is a direct consequence of limitations resulting from characteristic physical and motor impairments. As a consequence, the Microsoft Kinect sensor cannot identify the gestures. It is important to remember this fact when developing gesture-based on Human Computer Interaction (HCI) applications that use the Kinect sensor as an input device when the apps are going to be used by people who have such disabilities.

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Section: Introductionmentioning

confidence: 99%