• Title, Summary, Keyword: Human Interface

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Video Intensive User Interface for Content Selection

  • Sadakata, Toru;Okimura, Takayuki;Kasahara, Hisashi
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • pp.134-139
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    • 1996
  • This paper discusses the user interface for content selection with a video-on-demand system. We suggest two modes for the selection process: active and passive. This paper analyses various video intensive user interfaces using logs of user operation to understand how users behave in each mode.

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Human Interface Modeling of Consumer Electronic Products by Using the Object-Oriented Technique (전자제품 휴먼인터페이스의 객체지향적 모델링)

  • Hong, Sang-U;Han, Seong-Ho;Gwak, Ji-Yeong
    • Journal of the Ergonomics Society of Korea
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    • v.17 no.2
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    • pp.83-96
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    • 1998
  • This paper suggests a data modeling scheme of human interface elements and their properties for consumer electronic products. The human interface elements were classified into three categories: individual, interaction and integration interface. The representative properties of each interface element were identified, and modeled by using the object-oriented technique. The results of this study are expected to be used for expressing the user interface of consumer electronic products. They are also expected to help understand the relationship between the usability and the user interface elements of a product.

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The Human-Machine Interface System with the Embedded Speech recognition for the telematics of the automobiles (자동차 텔레매틱스용 내장형 음성 HMI시스템)

  • 권오일
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.1-8
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    • 2004
  • In this paper, we implement the Digital Signal Processing System based on Human Machine Interface technology for the telematics with embedded noise-robust speech recognition engine and develop the communication system which can be applied to the automobile information center through the human-machine interface technology. Through the embedded speech recognition engine, we can develop the total DSP system based on Human Machine Interface for the telematics in order to test the total system and also the total telematics services.

Remote Control of a Mobile Robot Using Human Adaptive Interface (사용자 적응 인터페이스를 사용한 이동로봇의 원격제어)

  • Hwang, Chang-Soon;Lee, Sang-Ryong;Park, Keun-Young;Lee, Choon-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.777-782
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    • 2007
  • Human Robot Interaction(HRI) through a haptic interface plays an important role in controlling robot systems remotely. The augmented usage of bio-signals in the haptic interface is an emerging research area. To consider operator's state in HRI, we used bio-signals such as ECG and blood pressure in our proposed force reflection interface. The variation of operator's state is checked from the information processing of bio-signals. The statistical standard variation in the R-R intervals and blood pressure were used to adaptively adjust force reflection which is generated from environmental condition. To change the pattern of force reflection according to the state of the human operator is our main idea. A set of experiments show the promising results on our concepts of human adaptive interface.

Human Indicator and Information Display using Space Human Interface in Networked Intelligent Space

  • Jin Tae-Seok;Niitsuma Mihoko;Hashimoto Hideki
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.632-638
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    • 2005
  • This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.

Application of fuzzy measure and fuzzy integrals model to evaluation of human interface

  • Sohn, Young-Sun;Onisawa, Takehisa
    • 제어로봇시스템학회:학술대회논문집
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    • pp.787-790
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    • 1997
  • This paper proposes a method which selects essential elements in a human evaluation model using the Choquet integral based on fuzzy measures, and applies the model to the evaluation of human interface. Three kinds of concepts are defined to select essential elements. Increment Degree implies the increment degree from fuzzy measures of composed elements to the fuzzy measure of a combined element. Average of Increment Degree of an element means the relative possibility of superadditivity of the fuzzy measure of each combined element. Necessity Degree means the selection degree of each combined element as a result of the human evaluation. A task experiment, which consists of a static work and two dynamic works, is performed by the use of some human interfaces. In the experiment, (1) a warning sound which gives an attention to subjects, (2) a color vision which can be distinguished easily or not, (3) the size of working area and (4) a response of confirmation that is given from an interface, are considered as human interface elements. Subjects answer the questionnaire after the experiment. From the data of the questionnaire, fuzzy measures are identified and are applied to the proposed model. Effectiveness of the proposed model is confirmed by the comparison of human interface elements extracted from the proposed model and those from the questionnaire.

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Development of the MVS (Muscle Volume Sensor) for Human-Machine Interface (인간-기계 인터페이스를 위한 근 부피 센서 개발)

  • Lim, Dong Hwan;Lee, Hee Don;Kim, Wan Soo;Han, Jung Soo;Han, Chang Soo;An, Jae Yong
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.8
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    • pp.870-877
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    • 2013
  • There has been much recent research interest in developing numerous kinds of human-machine interface. This field currently requires more accurate and reliable sensing systems to detect the intended human motion. Most conventional human-machine interface use electromyography (EMG) sensors to detect the intended motion. However, EMG sensors have a number of disadvantages and, as a consequence, the human-machine interface is difficult to use. This study describes a muscle volume sensor (MVS) that has been developed to measure variation in the outline of a muscle, for use as a human-machine interface. We developed an algorithm to calibrate the system, and the feasibility of using MVS for detecting muscular activity was demonstrated experimentally. We evaluated the performance of the MVS via isotonic contraction using the KIN-COM$^{(R)}$ equipment at torques of 5, 10, and 15 Nm.

Evaluation of Human Interface using Fuzzy Measures and Fuzzy Integrals (퍼지척도 퍼지적분을 이용한 휴면 인터페이스의 평가)

  • 손영선
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.31-36
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    • 1998
  • This paper proposes a method to select essential elements in a human evaluation model using the Choquet integral based on fuzzy measures and applies the model to the evaluation of human interface. Three kinds of concepts, Increment Degree, average of Increment Degree, Necessity coefficient, are defined. The proposed method selects essential elements by the use of the Relative necessity coefficient. The proposed method is applied to the analysis of human interface. In the experiment, (1) a warning sound, (2)a color vision, (3) the size of working area, (4) a response of confirmation, are considered as human interface elements. subjects answer the questionnarie after the experiment. From the data of questionnaire, fuzzy measures are identified and are applied to the proposed model. effectiveness of the proposed model is confirmed by the comparison of human interface elements extracted from the proposed model and those from the questionnarie.

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Implementation of Human and Computer Interface for Detecting Human Emotion Using Neural Network (인간의 감정 인식을 위한 신경회로망 기반의 휴먼과 컴퓨터 인터페이스 구현)

  • Cho, Ki-Ho;Choi, Ho-Jin;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.9
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    • pp.825-831
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    • 2007
  • In this paper, an interface between a human and a computer is presented. The human and computer interface(HCI) serves as another area of human and machine interfaces. Methods for the HCI we used are voice recognition and image recognition for detecting human's emotional feelings. The idea is that the computer can recognize the present emotional state of the human operator, and amuses him/her in various ways such as turning on musics, searching webs, and talking. For the image recognition process, the human face is captured, and eye and mouth are selected from the facial image for recognition. To train images of the mouth, we use the Hopfield Net. The results show 88%$\sim$92% recognition of the emotion. For the vocal recognition, neural network shows 80%$\sim$98% recognition of voice.