• Journal of Oral Medicine and Pain
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• v.20 no.1
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• pp.185-194
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• 1995

The purpose of this study was to estimate primary diagnosis, prediction of prognosis and recognition fo treatment progress for treatment of TMD patients through measuring the various ranges of mandibular movement in normal and TMDs patients using Mandibular Kinesiograph K-6 Diagnostic system. In normal groups, 20 adults were selected, who have normal or class I molar relationship, and have no symptoms on TMJ and masticatory muscles, and have restorations less than 3 surfaces on each tooth, and have no other prosthetic restoration. In Patients group, we selected 31 outpatients who were confirmed to TMDs with clinical examination and radiographic findings. The obtained results were as follows : 1. In maximal opening, patient group was showed the limitation of vertical movement range (P<0.01) and lager lateral deviation than in normal group (P<0.05). And actual dimensional displacement of opening was calculated larger in normal group (P<0.05). 2. In protrusive movement, patients group was showed the limitation of anteroposterior movement range (P<0.001) and larger deviation than in normal group (P<0.01). And actual 3 dimensional displacement of protrusion was calculated larger in normal group (P<0.001). 3. In lateral maximum excursion, compared with normal group patient group was no significant differences to affected side, but was showed the limitation of lateral movement to unaffected side (P<0.001). 4. There was no significant difference in movement velocity of opening and closing in both groups. 5. Mandibular movement from physiologic rest position to centric occlusion was moved more anteroposteriorly in patient group. 6. Mandibular movement from centric relation to centric occlusion was no significant difference in both groups.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.349-359
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• 2019

This study investigated the current state of Korean Maker Movement and explored the ways for activating Maker Movement in Korea. To do this purpose, we analyzed the data of 'A survey of the Korea Maker Movement in the second half of 2018', conducted by Korea Foundation for the Advancement of Science & Creativity involved 20's~50's Koreans. As a results, first, awareness, interest and behavior intention of Maker Movement was not high in Korea. Second, there were significant different between participants and non-participants of Maker Community in Maker awareness and Maker activities. Third, the positive relation between Maker Community participation and Maker Orientation is parallel multiple mediated by Maker activating motives such as fun, relieving stress, expressing own idea, saving cost, social recognition. Lastly, based upon the results, we presented several ways to activate Maker Movement in Korea.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.72-75
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• 2004

In this paper, a finger-click recognition method is proposed to improve the recognition performance for finger-clicking of a wearable input device, called $SCURRY^{TM}$. The proposed method is composed of three parts including feature extraction part, valid click discrimination part, and cross-talk avoidance part. Two types of MEMS inertial sensors are embedded into the wearable input device to measure the angular velocity of a hand (hand movement) and the acceleration rates at the ends of fingers (finger-click motion). The experiment applied to the $SCURRY^{TM}$ device shows the improved stability and performance.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.171-176
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• 2020

This paper presents an implementation of a gesture recognition platform that can be used in a factory workplaces. The platform consists of signages that display worker's job orders and a control center that is used to manage work orders for factory workers. Each worker does not need to bring work order documents and can browse the assigned work orders on the signage at his/her workplace. The contents of signage can be controlled by worker's hand and arm gestures. Gestures are extracted from body movement tracked by 3D depth camera and converted to the commandsthat control displayed content of the signage. Using the control center, the factory manager can assign tasks to each worker, upload work order documents to the system, and see each worker's progress. The implementation has been applied experimentally to a machining factory workplace. This flatform provides convenience for factory workers when they are working at workplaces, improves security of techincal documents, but can also be used to build smart factories.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3971-3975
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• 2013

This paper introduces an Augmented Reality system recognizing hand gestures and shows results of the evaluation. The system's user can interact with artificial objects and manipulate their position and motions simply by his hand gestures. Hand gesture recognition is based on Histograms of Oriented Gradients (HOG). Salient features of human hand appearance are detected by HOG blocks. Blocks of different sizes are tested to define the most suitable configuration. To select the most informative blocks for classification multiclass AdaBoostSVM algorithm is applied. Evaluated recognition rate of the algorithm is 94.0%.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.105.2-105
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• 2001

This paper studies continuous Korean Sign Language (KSL) recognition using color vision. In recognizing gesture words such as sign language, it is a very difficult to segment a continuous sign into individual sign words since the patterns are very complicated and diverse. To solve this problem, we disassemble the KSL into 18 hand motion classes according to their patterns and represent the sign words as some combination of hand motions. Observing the speed and the change of speed of hand motion and using state automata, we reject unintentional gesture motions such as preparatory motion and meaningless movement between sign words. To recognize 18 hand motion classes we adopt Hidden Markov Model (HMM). Using these methods, we recognize 5 KSL sentences and obtain 94% recognition ratio.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.211-216
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• 2001

Recently, the research for the mobile computing such as PDA, Palm PC and wearable computing related technologies is widely under development, specially for the input device. Among the mobile input methods are speech recognition, handwriting recognition and cording type. However these systems have the problems of the data input appraratus like input speed and recognition rate. This paper presents the Glove-based input device which could solve the system's data input problem. By the experimental results suggest the method of proposional input method that utilize the hand's movement is appropriate for the effective mobile input devices.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.199-204
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• 2008

Visual surveillance is an active topic recently in Computer Vision. Event detection and recognition is one important and useful application of visual surveillance system. In this paper, we propose a new method to recognize the entering and exiting events based on the human's movement feature and the door's state. Without sensors, the proposed approach is based on novel and simple vision method as a combination of edge detection, motion history image and geometrical characteristic of the human shape. The proposed method includes several applications such as access control in visual surveillance and computer vision fields.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.11
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• pp.1455-1463
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• 1995

A new automatic tracking & recognition algorithm which decides the opening & the closing states of subject's eye and isn't affected by the subject's background is proposed. And it was tested in circumstances in which subject's background was not restricted using the developed system, ATRS(Automatic Tracking & Recognition System). The significant characteristic of the ATRS is new movement detection of object that is a body in motion with accelated velocity and it doesn't need any extra hardware except a formal CCD camera and an image grabber but it works so well and so fast. The ATRS would be particularly well suited to a way of communications of patients in a hospital, who can not communicate otherwise.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.213-216
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• 2006

A realization for control system on image recognition is presented in this paper. System consist of control system and image processing system. Control system can control for spring by micro controler. Image processing system using vertical matching algorithm. The experiment results are that response time is about 2sec and the voltage of wind pressure is average 75mVolt.