Preprint Article Version 1 This version is not peer-reviewed

Multi-touch Tabletop System Using Infrared Image Recognition for User Position Identification

Version 1 : Received: 8 March 2018 / Approved: 8 March 2018 / Online: 8 March 2018 (16:15:54 CET)

A peer-reviewed article of this Preprint also exists.

Suto, S.; Watanabe, T.; Shibusawa, S.; Kamada, M. Multi-Touch Tabletop System Using Infrared Image Recognition for User Position Identification. Sensors 2018, 18, 1559. Suto, S.; Watanabe, T.; Shibusawa, S.; Kamada, M. Multi-Touch Tabletop System Using Infrared Image Recognition for User Position Identification. Sensors 2018, 18, 1559.

Journal reference: Sensors 2018, 18, 1559
DOI: 10.3390/s18051559

Abstract

A tabletop system can facilitate multi-user collaboration in a variety of settings including small meetings, group work, and education and training exercises. The ability of identifying the users touching the table and their positions can promote collaborative work among participants, so methods have been studied that involve the attaching of sensors to the table or chairs or to the users themselves. An effective method of recognizing user actions without placing a burden on the user would be some type of visual process, so the development of a method that processes multi-touch gestures by visual means is desired. This paper describes the development of a multi-touch tabletop system using infrared image recognition for user position identification and presents the results of touch-gesture recognition experiments and a system usability evaluation. Using an FTIR touch panel and infrared light, this system picks up the shadow area of the user’s hand by infrared camera in relation to user touch operations and estimates user position by image recognition. The multi-touch gestures prepared for this system include an operation to change the direction of an object to face the user and a copy operation in which two users generate duplicates of an object. The average recognition rate of the change-direction gesture and copy gesture were found to be 96% and 85%, respectively. In addition, the system usability evaluation revealed that prior learning was easy and that system operations could be easily performed.

Subject Areas

tabletop system, user position identification, infrared image recognition, multi-touch gesture, FTIR panel, system usability

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