Earticle

초록

영어

Touch screen interface is inconvenient since it requires both hands. So this study suggests new interface as replacement. Smart devices use built-in acceleration sensor. Low pass filter and Kalman filter reduce noise and variability of the output of the acceleration sensor to enhance precision and certainty, which is then applied in widgets or menus to test usability and functionality through experiments. Besides, sensor-based color detector is used to realize real-time color detection of the camera output image, and to search color information of the image, which is then analyzed and inferred for face detection. With the suggested algorithm, we can detect the face image even when it is slanted. Also, real-time detection of color information depending on the environment is possible. Experiments have proven its features which are particularly strong in the changes in the environment. The suggested algorithm is useful for further studies concerning various interfaces on smartphone.

목차

Abstract
 1. Introduction
 2. Sensors on Smart Phone
 3. Android Sensor
  3.1. Categorization of Android-based Sensors
  3.2 Sensor Coordinate
  3.3 Acceleration Sensor
  3.4 Magnetic Field Sensor
  3.5 Gyro Sensor
 4. Filter
  4.1 Low Pass Filter
  4.2 Kalman Filter
 5. Suggested Algorithm
 6. Experiment
  6.1 Experiment 1
  6.2 Experiment 2
  6.3 Experiment 3
  6.4 Experiment 4
  6.5 Experiment 5
  6.6 Experiment 6
  6.7 Experiment 7
  6.8 Experiment 8
 7. Conclusion
 References

키워드

저자

• Young Jae Lee [ Dept. of Multimedia Jeonju University, 303 Cheonjam-ro, Wansan-gu, Jeonju-si, 560-759, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605