• Title/Summary/Keyword: Initial screen setting

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PC와 TV겸용 모니터에서의 색채인식

  • Jung, Gwang-Tae;Park, Jae-Hee;Jung, Byung-Gook;Jung, Gil
    • Proceedings of the ESK Conference
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    • 1997.10a
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    • pp.333-338
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    • 1997
  • We performed a study to investigate the characteristics of color perception according to some factors and to suggest the initial setting value of color temperature in each mode of a PC and TV monitor. Investigated factors were monitor coating (coating vs. noncoating)and screen brightness(30fL vs. 35fL). Twenty-three subjects (male 12, female 11) participated in this experiment. The experiment was performed in eachmode of a PC and TV monitor. Average color temperatures were obtained in both PC- mode and TV- mode. In addition, effects of monitor coating and screen brightness were investigated.

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Facial Gaze Detection by Estimating Three Dimensional Positional Movements (얼굴의 3차원 위치 및 움직임 추정에 의한 시선 위치 추적)

  • Park, Gang-Ryeong;Kim, Jae-Hui
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.3
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    • pp.23-35
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    • 2002
  • Gaze detection is to locate the position on a monitor screen where a user is looking. In our work, we implement it with a computer vision system setting a single camera above a monitor and a user moves (rotates and/or translates) his face to gaze at a different position on the monitor. To detect the gaze position, we locate facial region and facial features(both eyes, nostrils and lip corners) automatically in 2D camera images. From the movement of feature points detected in starting images, we can compute the initial 3D positions of those features by camera calibration and parameter estimation algorithm. Then, when a user moves(rotates and/or translates) his face in order to gaze at one position on a monitor, the moved 3D positions of those features can be computed from 3D rotation and translation estimation and affine transform. Finally, the gaze position on a monitor is computed from the normal vector of the plane determined by those moved 3D positions of features. As experimental results, we can obtain the gaze position on a monitor(19inches) and the gaze position accuracy between the computed positions and the real ones is about 2.01 inches of RMS error.

Monitoring System for the Elderly Living Alone Using the RaspberryPi Sensor (라즈베리파이 센서를 활용한 독거노인 모니터링 시스템)

  • Lee, Sung-Hoon;Lee, June-Yeop;Kim, Jung-Sook
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1661-1669
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    • 2017
  • In 2017, Korea has reached 1.3 million elderly people living alone. The government is promoting the basic care service for the elderly by using care workers to check the security of the elderly living alone. However, due to lack of service personnel and service usage rate of elderly care workers, it is difficult to manage. To improve these environmental constraints, this study attempted to construct a monitoring system for elderly people living alone by using sensors such as temperature, humidity, motion detection, and gas leak detection. The sensor periodically collects the current status data of the elderly and sends them to the server, creates a real time graph based on the data, and monitors it through the web. In the monitoring process, when the sensor is out of the range of the specified value, it sends a warning text message to the guardian to inform the current situation, and is designed and implemented so as to support the safety life of the elderly living alone.