Abstract
The paper describes our implementation and experimental evaluation of a touch surface control algorithms developed for the smart mobile furniture. We begin the article by presenting the working principle of touch surface, followed by the descriptions of proposed eyes-free control algorithms aimed to avoid random touches. The experimental evolution and analysis shown the problems affiliated with the usage of standard hardware by manipulating it by nose and foot finger (compared vs a hand finger), and allowed the initial determination of recognition accuracy, performance (in time) and overall user rating.DOI: http://dx.doi.org/10.5755/j01.eee.19.1.3258
Highlights
The development of smart mobile furniture and additional intelligent products is influenced by hi-tech advancement leading to smaller and more advanced electrical devices [1]
At a certain point the smart mobile furniture will only limited by the mechanical boundaries of their construction, as well as the unlocking of the technological potential
Finger only mode was only ~1.5 % less accurate due to some misses of a double click action this can be remedied by using a different double click speed for each user
Summary
The development of smart mobile furniture and additional intelligent products is influenced by hi-tech advancement leading to smaller and more advanced electrical devices [1]. At a certain point the smart mobile furniture will only limited by the mechanical boundaries of their construction, as well as the unlocking of the technological potential. The communication between devices will lead to the creation of intelligent environments greatly improving the living conditions and providing a social integration solutions. The paper is further organized in three sections. In the second section the application and the working principle of touch surface is presented, followed by the descriptions of proposed eyes-free control algorithms aimed to avoid random touches as well as the experimental setup and investigation of performance and recognition accuracy using both methods
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