i-me TOUCH: detecting human touch interaction

ABSTRACT

i-me TOUCH is able to detect when one human touches another. By observing the different patterns of conductivity between two humans, the system is also able to record touch gestures such as tapping and rubbing. It detects tap gestures with 95% accuracy and rub gestures with 92% accuracy. And, a new idea is developed in this paper. That is the ability to detect when one person touches his or her own body. As a principle of operation, we extend the "Body as an Antenna" concept (developed by [Cohn et al. 2011]), but focus on the case of human-to-human touch. The approach used by [Sato et al. 2012] is accurate and can determine the type of substance. Our prototype and some preliminary experiments are discussed in this poster.

References

1. Cohn, G., Morris, D., Patel, S. N., and Tan, D. S. 2011. Your noise is my command. In Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11, ACM Press, 791.
2. Du Bois, D., and Du Bois, E. 1916. Clinical calorimetry: tenth paper a formula to estimate the approximate surface area if height and weight be known. Archives of internal medicine 17, 863--871.
3. Sato, M., Poupyrev, I., and Harrison, C. 2012. Touché. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12, ACM Press, New York, New York, USA, 483.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)

    • Interaction devices

      • Touch screens