• ETRI Journal
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• v.37 no.4
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• pp.766-771
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• 2015

Robust motion estimation for human-computer interactions played an important role in a novel method of interaction with electronic devices. Existing pose estimation using a monocular camera employs either ego-motion or exo-motion, both of which are not sufficiently accurate for estimating fine motion due to the motion ambiguity of rotation and translation. This paper presents a hybrid vision-based pose estimation method for fine-motion estimation that is specifically capable of extracting human body motion accurately. The method uses an ego-camera attached to a point of interest and exo-cameras located in the immediate surroundings of the point of interest. The exo-cameras can easily track the exact position of the point of interest by triangulation. Once the position is given, the ego-camera can accurately obtain the point of interest's orientation. In this way, any ambiguity between rotation and translation is eliminated and the exact motion of a target point (that is, ego-camera) can then be obtained. The proposed method is expected to provide a practical solution for robustly estimating fine motion in a non-contact manner, such as in interactive games that are designed for special purposes (for example, remote rehabilitation care systems).

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.79-86
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• 2020

In this paper, we propose an efficient emotional relaxation framework using Dijkstra algorithm based on anisotropic features. Emotional relaxation is as important as emotional analysis. This is a framework that can automatically alleviate the person's depression or loneliness. This is very important for HCI (Human-Computer Interaction). In this paper, 1) Emotion value changing from facial expression is calculated using Microsoft's Emotion API, 2) Using these differences in emotion values, we recognize abnormal feelings such as depression or loneliness. 3) Finally, emotional mesh based matching process considering the emotional histogram and anisotropic characteristics is proposed, which suggests emotional relaxation to the user. In this paper, we propose a system which can recognize the change of emotion easily by using face image and train personal emotion by emotion relaxation.

• Journal of the Optical Society of Korea
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• v.15 no.1
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• pp.74-77
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• 2011

We report a novel extension of 840 nm wavelength- based spectral domain optical tomography to in vivo/real-time human middle ear diagnosis. The system was designed to access the middle ear region with a specifically dedicated handheld probe. The real-time displaying feature was mandatory for in vivo imaging human subject with the handheld probe, and the system could provide about 20 frames per second for 2048 pixels by 1000 A-scans without using any graphics process units under the Labview platform. The inner ear structure of a healthy male volunteer was imaged with the developed system with the axial and lateral resolutions of $15\;{\mu}m$ and $30\;{\mu}m$, respectively. The application of the OCT technology to early diagnose otitis media(OM) is very promising and could be another extensive branch in the OCT field because it provides the depth resolved image including tympanic membrane (TM) and structures below TM whereas the conventional otoscope technique only gives asurface image of the TM.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.123-129
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• 2023

The most effective tutoring method is one-on-one, face-to-face in-person human tutoring. However, due to the limited availability of human tutors, computer-based alternatives have been developed. These software based alternatives are called Intelligent Tutoring Systems (ITS) which are used to tutor students in different domains. Although ITS performance is inferior to that of human teachers, the field is growing and has recently become very popular. User interfaces play key role in usability perspective of ITS. Even though ITS research has advanced, the majority of the work has concentrated on learning sciences while mostly disregarding user interfaces. Because of this, the present ITS includes effective learning modules but a less effective interface design. Usability is one approach to gauge a software's performance, while "ease of use" is one way to assess a software's quality. This paper measures the usability effectiveness of an ITS which is designed to teach Object-Oriented (OO) analysis and design concepts using Unified Modeling Language (UML). Computer Supported Usability Questionnaire (CSUQ) survey was conducted for usability evaluation of UML-ITS. According to participants' responses to the system's usability survey, all responses lie between 1 to 3 scale points which indicate that the participants were satisfied and comfortable with most of the system's interface features.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.165-171
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• 2010

Usability heuristics("heuristics") are general principles for usability evaluation during user interface design. Our ultimate goal is to extend the practice of usability evaluation methods to a wider audience(e.g. user interface designers and engineers) than Human Computer Interaction(HCI) professionals. To this end, we explored the degree to which Jakob Nielsen's ten usability heuristics are understood by professors and students in design and computer engineering. None of the subjects received formal training in HCI, though some may have had an awareness of some HCI principles. The study identified easy-to-understand heuristics, examined the reasons for the ambiguities in others, and discovered differences between the responses of professors and students to the heuristics. In the course of the study, the subjects showed an increased tendency to think in terms of user-centric design. Furthermore, the findings in this study offer suggestions for improving these heuristics to resolve ambiguities and to extend their practice for user interface designers and engineers.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.465-469
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• 2022

자동 음성 인식 (Automatic Speech Recognition) 기술이 발달함에 따라 자동 음성 인식 시스템의 성능을 높이기 위한 방법 중 하나로 자동 후처리기 연구(automatic post-processor)가 진행되어 왔다. 후처리기를 훈련시키기 위해서는 오류 유형이 포함되어 있는 병렬 말뭉치가 필요하다. 이를 만드는 간단한 방법 중 하나는 정답 문장에 오류를 삽입하여 오류 문장을 생성하여 pseudo 병렬 말뭉치를 만드는 것이다. 하지만 이는 실제적인 오류가 아닐 가능성이 존재한다. 이를 완화시키기 위하여 Back TranScription (BTS)을 이용하여 후처리기 모델 훈련을 위한 병렬 말뭉치를 생성하는 방법론이 존재한다. 그러나 해당 방법론으로 생성 할 경우 노이즈가 적을 수 있다는 관점이 존재하다. 이에 본 연구에서는 BTS 방법론과 인위적으로 노이즈 강도를 추가한 방법론 간의 성능을 비교한다. 이를 통해 BTS의 정량적 성능이 가장 높은 것을 확인했을 뿐만 아니라 정성적 분석을 통해 BTS 방법론을 활용하였을 때 실제 음성 인식 상황에서 발생할 수 있는 실제적인 오류를 더 많이 포함하여 병렬 말뭉치를 생성할 수 있음을 보여준다.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.93-101
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• 2020

Shipyards are potential environments for using IoT services, sensor networks, and delay tolerant networks. Simulations of those services and networks strongly rely on human mobility models. Results obtained with an unrealistic model may not reflect the true performance of applications, protocols, and algorithms in a shipyard. A lot of synthetic models for human movements have been studied but most of them are generic and focus on the daily movements of humans on city scales. Nevertheless, workers in shipyards have unique movement characteristics such as movement speed, pause time, and attractions places. For instance, workers usually move to some places, where they work, and rarely move to other places in the factory. Movement characteristics of workers not only depend on workers but also on tasks, which they do. For instance, workers, who paint ships, have similar movement speed and pause time. Hence, in this paper, human movements in shipyards are studied. We propose a new human mobility model called the human mobility mode in shipyards (MIS). In MIS, workers are classified into multiple types. Movement characteristics of a worker are similar to other workers in the same type. Based on the visiting probability, workers have some places, where they frequently visits, and some places, where they rarely visit. We analyze real mobility traces and studie to achieve human movement characteristics from real traces. The results show that MIS provides a well-match to the movement characteristic from real traces.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.3104-3120
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• 2017

The intelligent monitoring system has been successfully applied in many fields such as: monitoring of production lines, transportation, etc. Smart surveillance systems have been developed and proven effective in some specific areas such as monitoring of human activity, traffic, etc. Most of critical application monitoring systems involve object tracking as one of the key steps. However, task of tracking of moving object is not easy. In this paper, the authors propose a method to implement human object tracking in outdoor environment based on human features in shearlet domain. The proposed method uses shearlet transform which combines the human features with context-sensitiveness in order to improve the accuracy of human tracking. The proposed algorithm not only improves the edge accuracy, but also reduces wrong positions of the object between the frames. The authors validated the proposed method by calculating Euclidean distance and Mahalanobis distance values between centre of actual object and centre of tracked object, and it has been found that the proposed method gives better result than the other recent available methods.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.9-16
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• 2018

In this paper, a kidnapping detection scheme in which human pose estimation is used to classify accurately between kidnapping cases and normal ones is proposed. To estimate human poses from input video, human's 10 joint information is extracted by OpenPose library. In addition to the features which are used in the previous study to represent the size change rates and the regularities of human activities, the human pose estimation features which are computed from the location of detected human's joints are used as the features to distinguish kidnapping situations from the normal accompanying ones. A frame-based kidnapping detection scheme is generated according to the selection of J48 decision tree model from the comparison of several representative classification models. When a video has more frames of kidnapping situation than the threshold ratio after two people meet in the video, the proposed scheme detects and notifies the occurrence of kidnapping event. To check the feasibility of the proposed scheme, the detection accuracy of our newly proposed scheme is compared with that of the previous scheme. According to the experiment results, the proposed scheme could detect kidnapping situations more 4.73% correctly than the previous scheme.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.88-99
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• 2004

The purpose of this study is to observe the significance and symbolic meaning of fashion design which is combined with machines, and to develop excellent designs in aesthetic aspects. The method of this study analyzed the related documents and journal, fashion magazines. The results is as follows. The cyborg discourse and virtual human body in virtual world predict the existence of new human. In present times, up-to-date equipments such as wearable computer have begun to be built-in clothing based on technology, and these dress and ornaments influence on human's life gradually in practicality and ability. These equipments are divided as military affairs, medical treatment equipment, leisure, information access and communication, guard, and business assistance. And according to the kind of item, they are divided by headwear, clothing and accessory. The significance of clothing combined with machine is practical viewpoint, economical viewpoint and aesthetic viewpoint. And the symbolic meaning of these fashion combined machine with technology is dis-identity in digital society, dis-borderness between human and machine and the uncertainty of human being. Like this, the clothing which is combined with high-technology shapes its own unique and individual system. But, this must escape from the limit of medium system itself that is technology to become a future clothing for human, suggest new agenda about human and society, and confirm the human being's existence and identity continually.