UGI: a multi-dimensional ultrasonic-based interaction approach

Babaei, Mahdi, Al-Jemeli, Marwan and Avazpour, Iman 2016, UGI: a multi-dimensional ultrasonic-based interaction approach, in OzCHI 2016: Proceedings of the 28th Australian Conference on Human-Computer Interaction, Association for Computing Machinery (ACM), New York, N.Y., pp. 1-8.

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Title UGI: a multi-dimensional ultrasonic-based interaction approach
Author(s) Babaei, Mahdi
Al-Jemeli, Marwan
Avazpour, ImanORCID iD for Avazpour, Iman
Conference name Human-Computer Interaction. Australian Conference (28th : 2016 : Launceston, Tas.)
Conference location Launceston, Tas.
Conference dates 30 Noc - 2 Dec 2016
Title of proceedings OzCHI 2016: Proceedings of the 28th Australian Conference on Human-Computer Interaction
Publication date 2016
Start page 1
End page 8
Total pages 8
Publisher Association for Computing Machinery (ACM)
Place of publication New York, N.Y.
Keyword(s) human computer interaction
interaction design
ultra-sonic sensors
2D interaction
3D interaction
information interfaces and presentation
input devices and strategies
Summary We are currently witnessing an era where interaction with computers is no longer limited to conventional methods (i.e. keyboard and mouse). Human Computer Interaction (HCI) as a progressive field of research, has opened up alternatives to the traditional interaction techniques. Embedded Infrared (IR) sensors, Accelerometers and RGBD cameras have become common inputs for devices to recognize gestures and body movements. These sensors are vision based and as a result the devices that incorporate them will be reliant on presence of light. Ultrasonic sensors on the other hand do not suffer this limitation as they utilize properties of sound waves. These sensors however, have been mainly used for distance detection and not with HCI devices. This paper presents our approach in developing a multi-dimensional interaction input method and tool Ultrasonic Gesture-based Interaction (UGI) that utilizes ultrasonic sensors. We demonstrate how these sensors can detect object movements and recognize gestures. We present our approach in building the device and demonstrate sample interactions with it. We have also conducted a user study to evaluate our tool and its distance and micro gesture detection accuracy. This paper reports these results and outlines our future work in the area.
ISBN 9781450336734
Language eng
Field of Research 080602 Computer-Human Interaction
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, ACM
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