Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers

Research Article

Human Sensing for Tabletop Entertainment System

Download
569 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-05939-6_28,
        author={Hafizuddin Yusof and Eugene Ch’ng and Christopher Baber},
        title={Human Sensing for Tabletop Entertainment System},
        proceedings={Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers},
        proceedings_a={ICCASA},
        year={2014},
        month={6},
        keywords={Human-aware Tabletop Games Input devices Interaction modality Sensor Proximity},
        doi={10.1007/978-3-319-05939-6_28}
    }
    
  • Hafizuddin Yusof
    Eugene Ch’ng
    Christopher Baber
    Year: 2014
    Human Sensing for Tabletop Entertainment System
    ICCASA
    Springer
    DOI: 10.1007/978-3-319-05939-6_28
Hafizuddin Yusof1,*, Eugene Ch’ng1,*, Christopher Baber1,*
  • 1: University of Birmingham
*Contact email: hafizuddin.yusof@gmail.com, e.chng@bham.ac.uk, c.baber@bham.ac.uk

Abstract

Tabletop displays are gaining interests in gaming environments. Computer Game in the genre of board games, competitive actions, real-time strategies are amongst those that are suitable for tabletop displays. Currently most games developed for tabletops use physical objects with markings as the controllers and standard touch and gestures as the inputs. To extend the present limits of gestures and touch, we present an implementation of high performance sensor-based input modality as an extension to tabletop displays. The additional input modality has the capability to sense and track users’ bodies while they are interacting with the table. This paper outlines the configuration of the sensors, the tracking accuracy test result and informal evaluations of the system. We emphasise the simplicity of sensor configuration, cost, robustness and high performance in the design of tabletop sensor systems. To demonstrate the capability of our system, we developed a computer game “Body Pong” where each player controls a paddle assigned automatically to him/her by moving his/her position left and right. The game demonstrates how context-awareness adapts when number of users changes during game play.