Title :
User-defined gesture sets using a mobile device for people with communication difficulties
Author :
Jung, Yong Hee ; Qin, Shengeng
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
Abstract :
Present smart phones contain high-tech sensors to monitor three-dimensional movements of the device and users´ behaviours. These sensors allow mobile devices to recognize motion gestures. However, only a few gesture sets have been created, and little is known about best practices in motion-gesture design. Also, the created gesture sets were generated from people who do not have to use their motion gestures very much in their daily lives, not from people with communication difficulties. To address this issue, we use a focus group that has dyslexia and other specific learning difficulties for designing the user-defined gesture sets. This paper presents the results of our study that elicits the focus group´s gestures to invoke commands on a smart-phone device. It demonstrates how the gesture sets have been designed and finalised throughout other research activities, such as observation and interviews. Finally, we suggest that our result would help people with communication impairments conveniently interact with others in an intuitive and socially acceptable manner.
Keywords :
gesture recognition; handicapped aids; human computer interaction; image motion analysis; mobile radio; 3D movements; communication difficulties; communication impairments; dyslexia; mobile device; motion gesture recognition; motion-gesture design; smart-phone device; specific learning difficulties; user behaviours; user-defined gesture sets; Educational institutions; Libraries; Mobile communication; Mobile handsets; Search engines; Sensors; Thumb; communication; gesture; mobile devices; user interfaces;
Conference_Titel :
Automation and Computing (ICAC), 2011 17th International Conference on
Conference_Location :
Huddersfield
Print_ISBN :
978-1-4673-0000-1