• Title/Summary/Keyword: Facial and Eye Gaze detection

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Pediatric Orbital Medial Wall Trapdoor Fracture with Normal Computed Tomography Findings

  • Lee, Hyun Rok;Jung, Gyu Yong;Lee, Dong Lark;Shin, Hea Kyeong
    • Archives of Craniofacial Surgery
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    • v.18 no.2
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    • pp.128-131
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    • 2017
  • With advances in diagnostic technology, radiologic diagnostic methods have been used more frequently, and physical examination may be neglected. The authors report a case of pediatric medial orbital trapdoor fracture in which the surgery was delayed because computed tomography (CT) findings did not indicate bone displacement, incarceration of rectus muscle, or soft tissue herniation. A healthy 6-year-old boy was admitted to the emergency room for right eyebrow laceration. We could not check eyeball movement or diplopia, because the patient was irritable. Thus, we performed facial CT under sedation, but there was normal CT finding. Seven days later, the patient visited our hospital due to persistent nausea and dizziness. We were able to perform a physical examination this time. Lateral gaze of right eye was limited. CT still did not show any findings suggestive of fracture, but we decided to perform exploratory surgery. We performed exploration, and found no bone displacement, but discovered entrapped soft tissue. We returned the soft tissue to its original position. The patient fully recovered six weeks later. To enable early detection and treatment, thorough physical examination and CT reading are especially needed when the patient shows poor compliance, and frequent follow-up observations are also necessary.

Effective Eye Detection for Face Recognition to Protect Medical Information (의료정보 보호를 위해 얼굴인식에 필요한 효과적인 시선 검출)

  • Kim, Suk-Il;Seok, Gyeong-Hyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.5
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    • pp.923-932
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    • 2017
  • In this paper, we propose a GRNN(: Generalized Regression Neural Network) algorithms for new eyes and face recognition identification system to solve the points that need corrective action in accordance with the existing problems of facial movements gaze upon it difficult to identify the user and. Using a Kalman filter structural information elements of a face feature to determine the authenticity of the face was estimated future location using the location information of the current head and the treatment time is relatively fast horizontal and vertical elements of the face using a histogram analysis the detected. And the light obtained by configuring the infrared illuminator pupil effects in real-time detection of the pupil, the pupil tracking was to extract the text print vector. The abstract is to be in fully-justified italicized text as it is here, below the author information.