• 제목/요약/키워드: Human-Machine Interface

검색결과 336건 처리시간 0.029초

안구운동 기반의 사용자 묵시적 의도 판별 분석 모델 (Discriminant Analysis of Human's Implicit Intent based on Eyeball Movement)

  • 장영민;;김철수;이민호
    • 전자공학회논문지
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    • 제50권6호
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    • pp.212-220
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    • 2013
  • 최근 사용자의 생체 신호 정보를 기반으로 사용자 인지향상을 위하여, 상황에 적합한 서비스를 제공하기 위한 인간-컴퓨터/기계 상호작용 (Human computer/machine interaction: HCI/HMI) 시스템이 급격하게 증가하고 있는 추세이다. 이와 같이 인간-컴퓨터/기계 상호작용 기반의 효과적인 사용자 인지향상 시스템을 개발하기 위해서는 사용자의 명시적 의도 파악과 더불어 사용자의 묵시적 의도 파악이 중요하다. 사람의 시각 운동 이론에 따르면, 사람의 안구운동 정보와 동공 반응은 사람의 의도와 행동에 대하여 많은 량의 정보를 제공한다. 이에 본 논문에서는 사용자의 묵시적 의도를 판별하기 위하여, 피험자에게 제공되는 자극영상의 관심(흥미) 영역 (area of interest: AOI) 내에서의 안구운동 패턴인 응시 시간/횟수, 동공 응답 패턴의 동공크기와 동공의 크기변화인 기울기 정보를 분석하는 새로운 접근 방법을 제안한다. 제안하는 모델은 항행적 의도 발생, 정보적 의도발생, 정보적 의도 소멸과 같은 세 가지 유형으로 인간의 묵시적 의도를 식별한다. 여기서 항행적 의도란 주어진 자극영상 내에서 무언가 흥미로운 것을 찾는 행위를 말하며, 이에 반해 정보적 의도는 특정 위치에서 특정 객체는 찾는 행위를 의미한다. 본 연구에서는 사용자 안구운동 패턴과 동공분석 정보 기반으로 서로 다른 묵시적 의도인 항행적 의도, 정보적 의도 발생, 그리고 정보적 의도 소멸 사이에서 그 천이를 감지할 수 있는 계층적 SVM (hierarchical support vector machine: H-SVM)을 이용하였다.

모의 지능로봇에서의 음성 감정인식 (Speech Emotion Recognition on a Simulated Intelligent Robot)

  • 장광동;김남;권오욱
    • 대한음성학회지:말소리
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    • 제56호
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    • pp.173-183
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    • 2005
  • We propose a speech emotion recognition method for affective human-robot interface. In the Proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad and surprised. Features for an input utterance are extracted from statistics of phonetic and prosodic information. Phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; Prosodic information includes Pitch, jitter, duration, and rate of speech. Finally a pattern classifier based on Gaussian support vector machines decides the emotion class of the utterance. We record speech commands and dialogs uttered at 2m away from microphones in 5 different directions. Experimental results show that the proposed method yields $48\%$ classification accuracy while human classifiers give $71\%$ accuracy.

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The Mold Close and Open Control of Injection Molding Machine Using Fuzzy Algorithm

  • Park, Jin-Hyun;Lee, Young-Kwan;Kim, Hun-Mo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.575-579
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    • 2005
  • In this paper, the development of an IMM(Injection Molding Machine) controller is discussed. Presently, the Mold Close and Open Control Method of a toggle-type IMM is open-loop control. Through the development, a PC based control system was built instead of an existing controller and a closed-loop control replaced the previous control method by using PC based PLC. To control the nonlinear system of toggle type clamping unit, a fuzzy PI control algorithm was selected and it was programmed by an IL(Instruction List) and a LD(Ladder Diagram) on a PC based PLC. The application of fuzzy algorithm as the control method was also considered to change a control object like a mold replacement or an additional apparatus. For the development of an IMM controller, PC based PLC of PCI card type, distributed I/O modules with CANopen and Industrial PC and HMI (Human Machine Interface) software were used.

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음성인식에 의한 측량자료취득 모듈개발 (The Development of Data Capturing Modules by Speech-Voice Recognition)

  • 조규전;이영진;차득기
    • 한국측량학회지
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    • 제18권3호
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    • pp.279-285
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    • 2000
  • 컴퓨터 기술의 발달과 휴먼인터페이스에 대한 인간욕구로 지능형 MMI(Man-Machine Interface)컴퓨터기술에 키보드나 다른 입력장치를 사용하지 않고 사람의 음성으로 컴퓨터를 조작하거나 필요한 명령을 수행할 수 있게 되었다. 특히 복잡한 측량작업에서 현장자료 취득과 측설작업에 음성인식기술을 응용함으로써 작업시간의 절감과 지루함을 덜 수 있다. 본 연구에서는 50,000어휘 인식소프트웨어엔진과 60어휘 인식용 고도집접회로(IC)에 의한 음성인식기술을 Total-station과 RTK-GPS와 연계하여 적용한 결과 25개 어휘만으로 실시간 Geo-Coding 및 도형처리가 가능하였다.

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Vision-Based Finger Action Recognition by Angle Detection and Contour Analysis

  • Lee, Dae-Ho;Lee, Seung-Gwan
    • ETRI Journal
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    • 제33권3호
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    • pp.415-422
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    • 2011
  • In this paper, we present a novel vision-based method of recognizing finger actions for use in electronic appliance interfaces. Human skin is first detected by color and consecutive motion information. Then, fingertips are detected by a novel scale-invariant angle detection based on a variable k-cosine. Fingertip tracking is implemented by detected region-based tracking. By analyzing the contour of the tracked fingertip, fingertip parameters, such as position, thickness, and direction, are calculated. Finger actions, such as moving, clicking, and pointing, are recognized by analyzing these fingertip parameters. Experimental results show that the proposed angle detection can correctly detect fingertips, and that the recognized actions can be used for the interface with electronic appliances.

원자력 발전소 인간공학 프로그램 (Human factors engineering progrma in nuclear power plant)

  • 나정창;이호형
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1996년도 추계학술대회논문집
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    • pp.125-140
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    • 1996
  • Human Factors Engineering(HFE) program should be developed from the early stage of the design process for Nuclear Power Plant. The HFE program is conducted in accordance with the guidance in the Standard Review Plan(SRP) NUREG 0800, Chapter 18. The major purpose of this program is to reduce the incidence of human error during the operating life of the plants. A comprehensive human factors program is prepared by KOPEC to assure that key elements of human factors involvement are not inadvertently overlooked and the early, complete, and continuing inclusion of HFE in the design process. This paper is to introduce engineering steps of the HF activities to verify that the HF involvements on man-machine interface are adequate to support safe and efficient operation of nuclear power plant. If systems are developed without sufficient consideration on the HFE in the design, such systems may cost a high price due to the malfunction of the plant induced by the human errors.

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Imaging a scene from experience given verbal experssions

  • Sakai, Y.;Kitazawa, M.;Takahashi, S.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.307-310
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    • 1995
  • In the conventional systems, a human must have knowledge of machines and of their special language in communicating with machines. In one side, it is desirable for a human but in another side, it is true that achieving it is very elaborate and is also a significant cause of human error. To reduce this sort of human load, an intelligent man-machine interface is desirable to exist between a human operator and machines to be operated. In the ordinary human communication, not only linguistic information but also visual information is effective, compensating for each others defect. From this viewpoint, problem of translating verbal expressions to some visual image is discussed here in this paper. The location relation between any two objects in a visual scene is a key in translating verbal information to visual information, as is the case in Fig.l. The present translation system advances in knowledge with experience. It consists of Japanese Language processing, image processing, and Japanese-scene translation functions.

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Integrated Approach of Multiple Face Detection for Video Surveillance

  • Kim, Tae-Kyun;Lee, Sung-Uk;Lee, Jong-Ha;Kee, Seok-Cheol;Kim, Sang-Ryong
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.1960-1963
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    • 2003
  • For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined to the algorithm: motion, skin color, global appearance and facial pattern detection. The ICA (Independent Component Analysis)-SVM (Support Vector Machine based pattern detection is performed on the candidate region extracted by motion, color and global appearance information. Simultaneous execution of detection and short-term tracking also increases the rate and accuracy of detection. Experimental results show that our detection rate is 91% with very few false alarms running at about 4 frames per second for 640 by 480 pixel images on a Pentium IV 1㎓.

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Biosign Recognition based on the Soft Computing Techniques with application to a Rehab -type Robot

  • Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.29.2-29
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    • 2001
  • For the design of human-centered systems in which a human and machine such as a robot form a human-in system, human-friendly interaction/interface is essential. Human-friendly interaction is possible when the system is capable of recognizing human biosigns such as5 EMG Signal, hand gesture and facial expressions so the some humanintention and/or emotion can be inferred and is used as a proper feedback signal. In the talk, we report our experiences of applying the Soft computing techniques including Fuzzy, ANN, GA and rho rough set theory for efficiently recognizing various biosigns and for effective inference. More specifically, we first observe characteristics of various forms of biosigns and propose a new way of extracting feature set for such signals. Then we show a standardized procedure of getting an inferred intention or emotion from the signals. Finally, we present examples of application for our model of rehabilitation robot named.

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차량용 햅틱 디바이스의 다감각 사용성 평가 연구 (A Study on the Multi-sensory Usability Evaluation of Haptic Device in Vehicle)

  • 김현석;이상진;김병우
    • 한국산학기술학회논문지
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    • 제13권11호
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    • pp.4968-4974
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    • 2012
  • 햅틱 장치는 기존 장치대비 보다 편리하고 정확하며 직관적 조작이 가능한 인간-기계 교류 장치이다. 본 논문의 목적은 기존의 촉각 피드백만을 이용한 차량용 햅틱 장치의 인지능력을 향상 시키는 방법에 대하여 연구하는 것이다. 본 연구에서는 기존의 촉각 피드백만을 이용한 차량용 햅틱 장치에 청각 피드백을 더한 다감각 피드백을 이용하여 사용성 평가를 실시하였다. 감성 분석을 통해서는 운전자가 갖는 햅틱 장치에 대한 감성분석을 도출하였다. 연구결과들로부터 햅틱 장치의 구현에 필요한 몇 가지 고려사항과 방향을 제공하고 발전 가능성을 확인할 수 있었다. 또한 운전자를 만족시키는 설계 방향의 제안이 가능하였다.