• 전자통신동향분석
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• 제33권6호
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• pp.69-80
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• 2018

Sensory devices have been developed to help people with disabled or weakened sensory functions. Such devices play a role in collecting and transferring data for the five senses (vision, sound, smell, taste, and tactility) and also stimulating nerves. To provide brain or prosthesis devices with more sophisticated senses, hyper sensory devices with a high resolution comparable to or even better than the human system based on individual neuron cells are essential. As for data collecting components, technologies for sensors with higher resolution and sensitivity, and the conversion of algorithms from physical sensing data to human neuron signals, are needed. Converted data can be transferred to neurons that are responsible for human senses through communication with high security, and neural interfaces with high resolution. When communication deals with human data, security is the most important consideration, and intra-body communication is expected to be a candidate with high priority. To generate sophisticated human senses by modulating neurons, neural interfaces should modulate individual neurons, and therefore a high resolution compared to human neurons (~ several tens of um) with a large area covering neuron cells for human senses (~ several tens of mm) should be developed. The technological challenges for developing sensory devices with human and even beyond-human capabilities have been tackled by various research groups, the details of which are described in this paper.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2006년도 춘계 학술대회 발표논문집
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• pp.135-138
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• 2006

The communication method between human and robot is one of the important parts for a human-robot interaction. And speech is easy and intuitive communication method for human-being. By using speech as a communication method for robot, we can use robot as familiar way. In this paper, we developed TTS for human-robot interaction. Synthesis algorithms were modified for an efficient utilization of restricted resource in robot. And synthesis database were reconstructed for an efficiency. As a result, we could reduce the computation time with slight degradation of the speech quality.

• 정보관리연구
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• 제33권2호
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• pp.49-66
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• 2002

본 고에서는 최근 이용자 중심의 정보커뮤니케이션 동향에 대해서 고찰하였다. 특히, 인터넷 기반에서 컴퓨터를 매개로 하는 커뮤니케이션( CMC)과 인간공학(HFE), 그리고 최근 관심이 모아지고 있는 인간과 컴퓨터 상호작용(HCI)을 중심으로 살펴보았다. 이러한 인간중심의 정보 커뮤니케이션 과정은 이용자 입장에서의 인터페이스 설계에 큰 영향을 미치고 있는 것으로 나타났다.

• 한국컴퓨터정보학회논문지
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• 제23권8호
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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.

• 한국언론정보학보
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• 제68권
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• pp.34-64
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• 2014

이 연구는 소설이 허구의 세계이지만 당시의 사회상을 반영한다는 전제에서 9편의 신소설을 통하여 개화기 일반 백성들의 다양한 인간 커뮤니케이션 양태를 분석하였다. 분석 결과 개화기 인간 커뮤니케이션의 가장 큰 특징은 신문과 서적, 우편, 전보, 전화, 사진 등 새로운 매체의 출현으로 커뮤니케이션 환경이 다양화되었다는 점이다. 새로운 매체들이 출현하기는 했지만 아직도 구두 커뮤니케이션에 의존하는 전통적 방식이 중심이 된 것으로 볼 수 있겠다. 구두 커뮤니케이션에서 신분과 연령이 가장 큰 변수가 된 점은 조선 후기와 같았지만 격식과 예법은 많이 완화되었다. 또한 문자 문화의 기반이 대폭 확대되었다. 새로 등장한 매체들도 대부분 문자를 기반으로 하는 것들이며 여성이나 천민 계층에서 한글 사용이 늘어났다. 개항으로 외국과의 교류가 가능해짐으로써 그 시대 사람들의 생활 세계가 확대되며 문화 간 커뮤니케이션도 이루어져 필담이나 통역 등의 형태도 등장하게 되었다. 결론적으로 개화기의 인간 커뮤니케이션 양태는 여전히 구두 커뮤니케이션에 주로 의존하면서도 새로운 미디어에 대한 의존이 점차 높아지기 시작하여 원거리 커뮤니케이션도 신속하게 가능해졌으며 문호 개방에 따라 커뮤니케이션의 영역과 범위도 확대되며 그 방법도 다양해졌다고 평가할 수 있겠다.

• ETRI Journal
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• 제40권4호
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• pp.511-521
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• 2018

The ability to realize human-motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots. In this paper, we propose a work chain-based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint-angle configuration. In addition, a two-phase filter is used to remove the interference and noise, together with a self-collision avoidance scheme to maintain the stability of the robot during the imitation. Experimental results verify the effectiveness of our solution on the humanoid robot Nao-H25 in terms of accuracy and real-time performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.998-1013
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• 2013

Wireless wearable sensor networks have emerged as a promising technique for human motion tracking due to the flexibility and scalability. In such system several wireless sensor nodes being attached to human limb construct a wearable sensor network, where each sensor node including MEMS sensors (such as 3-axis accelerometer, 3-axis magnetometer and 3-axis gyroscope) monitors the limb orientation and transmits these information to the base station for reconstruction via low-power wireless communication technique. Due to the energy constraint, the high fidelity requirement for real time rendering of human motion and tiny operating system embedded in each sensor node adds more challenges for the system implementation. In this paper, we discuss such challenges and experiences in detail during the implementation of such system with wireless wearable sensor network which includes COTS wireless sensor nodes (Imote 2) and uses TinyOS 1.x in each sensor node. Since our system uses the COTS sensor nodes and popular tiny operating system, it might be helpful for further exploration in such field.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1777-1778
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• 2007

In this paper, We design and implement a humanoid robot, With Educational purpose, which can collaborate and communicate with human. We present an affective human-robot communication system for a humanoid robot, D2, which we designed to communicate with a human through dialogue. D2 communicates with humans by understanding and expressing emotion using facial expressions, voice, gestures and posture. Interaction between a human and a robot is made possible through our affective communication framework. The framework enables a robot to catch the emotional status of the user and to respond appropriately. As a result, the robot can engage in a natural dialogue with a human. According to the aim to be interacted with a human for voice, gestures and posture, the developed Educational humanoid robot consists of upper body, two arms, wheeled mobile platform and control hardware including vision and speech capability and various control boards such as motion control boards, signal processing board proceeding several types of sensors. Using the Educational humanoid robot D2, we have presented the successful demonstrations which consist of manipulation task with two arms, tracking objects using the vision system, and communication with human by the emotional interface, the synthesized speeches, and the recognition of speech commands.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.509-514
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• 2006

Human action recognition is an active research area in computer vision. In this paper, we present a robust method for human action recognition by using combined information of human body shape and motion information with multiple views image sequence. The principal component analysis is used to extract the shape feature of human body and multiple block motion of the human body is used to extract the motion features of human. This combined information with multiple view sequences enhances the recognition of human action. We represent each action using a set of hidden Markov model and we model each action by multiple views. This characterizes the human action recognition from arbitrary view information. Several daily actions of elderly persons are modeled and tested by using this approach and they are correctly classified, which indicate the robustness of our method.

• 한국생활과학회지
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• 제17권1호
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• pp.1-12
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• 2008

The purpose of this study is to examine influences of male salaried employee's marital communication on their job satisfaction and organizational commitment. The subjects of this study were 279 married male employees from 10 companies. The data were analyzed by descriptive statistics, one way ANOVA, Scheffe & Pearson's correlation with SPSSWIN(ver 12.0). There were significant differences according to the young married couple who has school background high, under 10 years of the length of their service in Marital communication And there were positive correlations among the marital communication which were communication agreement, communication contentment and communication smoothness and job satisfaction.