• Clinical and Experimental Pediatrics
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• v.59 no.sup1
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• pp.25-28
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• 2016

Phelan-McDermid syndrome is a rare genetic disorder caused by the terminal or interstitial deletion of the chromosome 22q13.3. Patients with this syndrome usually have global developmental delay, hypotonia, and speech delays. Several putative genes such as the SHANK3, RAB, RABL2B, and IB2 are responsible for the neurological features. This study describes the clinical features and outcomes of Korean patients with Phelan-McDermid syndrome. Two patients showing global developmental delay, hypotonia, and speech delay were diagnosed with Phelan-McDermid syndrome via chromosome analysis, fluorescent in situ hybridization, and multiplex ligation-dependent probe amplification analysis. Brain magnetic resonance imaging of Patients 1 and 2 showed delayed myelination and severe communicating hydrocephalus, respectively. Electroencephalography in patient 2 showed high amplitude spike discharges from the left frontotemporoparietal area, but neither patient developed seizures. Kidney ultrasonography of both the patients revealed multicystic kidney disease and pelviectasis, respectively. Patient 2 experienced recurrent respiratory infections, and chest computed tomography findings demonstrated laryngotracheomalacia and bronchial narrowing. He subsequently died because of heart failure after a ventriculoperitoneal shunt operation at 5 months of age. Patient 1, who is currently 20 months old, has been undergoing rehabilitation therapy. However, global developmental delay was noted, as determines using the Korean Infant and Child Development test, the Denver developmental test, and the Bayley developmental test. This report describes the clinical features, outcomes, and molecular genetic characteristics of two Korean patients with Phelan-McDermid syndrome.

• The korean journal of orthodontics
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• v.36 no.6
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• pp.402-411
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• 2006

Objective: This study was carried out to evaluate the distribution and clinical features of patients with degenerative change of the mandibular condyle. Methods: Six thousand and seventy patients with TMD (temporomandibular cisorder) were selected for this study, who had complete initial clinical records and radiographs. Panorama and TMJ panorama radiographs were used to screen the degenerative change in the condyle, and the patients were divided into DJD (degenerative joint disease) and non-DJD groups. Results: The distribution. and clinical features of the two groups were compared. Out of the total number of patients, 31.7% were in the DJD group, and 68.3% were in the non-DJD group. The portion of females was larger in the DJD group (80.8%) than in the non-DJD group (67.5%), and the DJD group had high prevalence in the second and third decades. Lack of incisal contact, retrusive chin, facial asymmetry, and mouth opening limitation were the chief complaints of the patients who had positive relation to DJD. Conclusion: Patients with an orthodontic treatment history, CO-CR discrepancy and crepitation were at possible risk of having DJD.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.127-133
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• 2021

In this study, an augmented reality-based make-up tool was built to analyze the user's face shape based on face-type reference model data and to provide virtual makeup by providing face-type makeup. To analyze the face shape, first recognize the face from the image captured by the camera, then extract the features of the face contour area and use them as analysis properties. Next, the feature points of the extracted face contour area are normalized to compare with the contour area characteristics of each face reference model data. Face shape is predicted and analyzed using the distance difference between the feature points of the normalized contour area and the feature points of the each face-type reference model data. In augmented reality-based virtual makeup, in the image input from the camera, the face is recognized in real time to extract the features of each area of the face. Through the face-type analysis process, you can check the results of virtual makeup by providing makeup that matches the analyzed face shape. Through the proposed system, We expect cosmetics consumers to check the makeup design that suits them and have a convenient and impact on their decision to purchase cosmetics. It will also help you create an attractive self-image by applying facial makeup to your virtual self.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.175-182
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• 2020

The non-contact eye tracking is a nonintrusive human-computer interface providing hands-free communications for people with severe disabilities. Recently. it is expected to do an important role in non-contact systems due to the recent coronavirus COVID-19, etc. This paper proposes a novel approach for an eye mouse using an eye tracking method based on a context-aware based AdaBoost multi-region classifier and ASSL algorithm. The conventional AdaBoost algorithm, however, cannot provide sufficiently reliable performance in face tracking for eye cursor pointing estimation, because it cannot take advantage of the spatial context relations among facial features. Therefore, we propose the eye-region context based AdaBoost multiple classifier for the efficient non-contact gaze tracking and mouse implementation. The proposed method detects, tracks, and aggregates various eye features to evaluate the gaze and adjusts active and semi-supervised learning based on the on-screen cursor. The proposed system has been successfully employed in eye location, and it can also be used to detect and track eye features. This system controls the computer cursor along the user's gaze and it was postprocessing by applying Gaussian modeling to prevent shaking during the real-time tracking using Kalman filter. In this system, target objects were randomly generated and the eye tracking performance was analyzed according to the Fits law in real time. It is expected that the utilization of non-contact interfaces.

• The korean journal of orthodontics
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• v.26 no.2 s.55
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• pp.205-218
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• 1996

A given facial type can be considered as a syndrome in which various features are aggregated, so a single parameter is not sufficient to accurately identify a given facial type. This study was designed to identify & characterize the skeletal types that blend under the headline-'Cl III,deepbite'. Cephalograms of thirty-four untreated mixed dentition patients, selected mainly on the basis of clinical impression of Cl III with reduced lower face heights were studied. The following conclusion can be drawn. 1. Cl III malocclusion with reduced lower face height could be classified into three types. 2. Subtype 1 was identified by the following features : strong ramus, more anteriorly positioned upper molars without alveolar hypoplasia, acutely reduced Mn. plane angle. 3. Subtype 2 was characterized by a short ramus, sharply reduced postrior alveolar height, and normal Mn. plane angle. In general, this type had hypoplasia tendency in the vertical dimension. 4. In subtype 3, the AUFH occupying more percentage than ALFH was a outstanding feature. Ramal height was in normal range, alveolar hypoplasia and slightly reduced Mn. plane angle was observed. 5. The features of the subtypes were reflected in certain indices, which can be regarded as discriminative index. LAFH: if reduced, regardless of subtypes, indicates reduced lower ant. face height consistently. FHR: when this ratio is increased, it indicates subtype 1. FHI: when this ratio is in normal range, it indicates subtype 2. FPI: if reduced greatly, it indicates subtype 3.

• Journal of Broadcast Engineering
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• v.17 no.3
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• pp.437-446
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• 2012

A face detection algorithms using two-dimensional (2-D) intensity or color images have been studied for decades. Recently, with the development of low-cost range sensor, three-dimensional (3-D) information (i.e., depth image that represents the distance between a camera and objects) can be easily used to reliably extract facial features. Most people have a similar pattern of 3-D facial structure. This paper proposes a face detection method using intensity and depth images. At first, adaboost algorithm using intensity image classifies face and nonface candidate regions. Each candidate region is divided into $5{\times}5$ blocks and depth values are averaged in each block. Then, $5{\times}5$ block rank pattern is constructed by sorting block averages of depth values. Finally, candidate regions are classified as face and nonface regions by matching the constructed depth map based block rank patterns and a template pattern that is generated from training data set. For template matching, the $5{\times}5$ template block rank pattern is prior constructed by averaging block ranks using training data set. The proposed algorithm is tested on real images obtained by Kinect range sensor. Experimental results show that the proposed algorithm effectively eliminates most false positives with true positives well preserved.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.6
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• pp.271-280
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• 2017

In this paper, we propose a new safety system composed of wearable devices, driver's seat belt, and integrating controllers. The wearable device and driver's seat belt capture driver's biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver's safety from driver's seat, steering wheel, or facial camera to capture driver's physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver's condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver's condition.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.1
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• pp.112-120
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• 2009

Face membership authentication is to decide whether an incoming person is an enrolled member or not using face recognition, and basically belongs to two-class classification where support vector machine (SVM) has been successfully applied. The previous SVMs used for face membership authentication have been trained and tested using image feature vectors extracted from member face images of each class (enrolled class and unenrolled class). The SVM so trained using image feature vectors extracted from members in the training set may not achieve robust performance in the testing environments where configuration and size of each class can change dynamically due to member's joining or withdrawal as well as where testing face images have different illumination, pose, or facial expression from those in the training set. In this paper, we propose an effective class discriminating feature vector-based SVM for robust face membership authentication. The adopted features for training and testing the proposed SVM are chosen so as to reflect the capability of discriminating well between the enrolled class and the unenrolled class. Thus, the proposed SVM trained by the adopted class discriminating feature vectors is less affected by the change in membership and variations in illumination, pose, and facial expression of face images. Through experiments, it is shown that the face membership authentication method based on the proposed SVM performs better than the conventional SVM-based authentication methods and is relatively robust to the change in the enrolled class configuration.

• Clinical and Experimental Pediatrics
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• v.50 no.3
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• pp.272-276
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• 2007

Purpose : Bell's palsy is defined as an idiopathic facial nerve paralysis of sudden onset. In spite of intensive clinical and experimental investigation, there is still uncertainty in the incidence, etiology, and preferred mode of treatment in children. The objective of this study was to analyze clinical outcome and prognosis of children with Bell' palsy. Methods : We analyzed 61 cases of Bell's palsy diagnosed at the Department of Wonkwang University Hospital from January 1998 to July 2006. The inclusion criteria were any children with acute isolated unilateral lower motor neuron type of facial nerve palsy. The clinical findings and investigations were reviewed including age, sex, affected site, seasonal incidence and result of steroid treatment. Chi-square and Fisher's exact test was used to compare clinical outcome between duration of complete recovery and age. Results : There was no difference in incidence according to sex or age. Incidence was higher in summer and winter. There was no difference in complete recovery rate and duration between steroid treated group and control group. In the group of children younger than 6 years, duration of complete recovery was shorter than older children. Conclusion : We found increasing the incidence of Bell's palsy in summer and winter. Children younger than 6 years had shorter duration in complete recovery.

• Korean Journal of Head & Neck Oncology
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• v.19 no.2
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• pp.127-132
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• 2003

Objectives: The best treatment for the malignant parotid tumor still remains to be defined, and a better knowledge about the tumor features that predict the treatment result is needed. The aim of this study is to evaluate the treatment outcomes and to suggest the optimal treatment modality for the parotid cancer. Materials and Methods: The clinicopathologic characteristics of 113 patients who were treated for parotid cancer from January 1990 to December 2002 were retrospectively analysed. Univalate analyses were performed to establish the prognostic influence of pateint age, gender, tumor size, histologic grade and lymph node metastasis. Results: The mean age was 46.4 years old (15-81 years) and. The male to female ratio was 1 : 1.1. The chief complaint was a palpable mass in 85%, pain was in 12.4% and facial nerve palsy was accompanied with 2.7%. The mean tumor size was 3.5cm in diameter. The most common malignant tumor was mucoepidermoid carcinoma (33.6%), followed by acinic cell carcinoma (15%), adenoid cystic carcinoma (11%), carcinoma expleomorhpic adenoma (11%), basal cell carcinoma (7%). The most common operative procedure was total parotidectomy (47.8%) and various types of cervical lymph node dissection were added in 69.9%. Postoperative radiotherapy was done in 61.1 %. Postoperative complications developed in 54 cases (47.8%), including 46 cases (40.7%) of facial nerve palsy and 9 cases (8%) of Frey's syndrome. Recurrences developed in 21 cases (18.6%) and deaths in 15 (13.3%). Cumulative survival at 5 year was 75.4%. Univariate analysis of clinical factors showed that histologic grade and positive cervical lymph node significantly influenced survival (p<0.05). Conclusion: These results suggests that the radical resection with lymph node dissection and postopertaive XRT would be necessary to improve the survival of the patients with high grade cancer or positive lymphnode metastasis.