• Title, Summary, Keyword: recognition

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Husband's Role Recognition and Role Performance in Family (남편의 가정내 역할인지와 역할수행에 관한 연구)

  • 이정우
    • Journal of Korean Home Management Association
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    • v.17 no.4
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    • pp.1-14
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    • 1999
  • The purpose of this study was to probe the role recognition and role performance of husbands if family and to find out the variables which influence role recognition and role performance. the sample were selected from 503 husbands with children more than one living in Seoul The major findings were : 1) husbands` role recognition was relatively higher than role performance 2) Influential variables on the husbands` role recognition were the degree of home-orientedness communication-satisfaction and stage of life cycle. 3) Husbands` role performance was affected by communication-satisfaction degree of social support job satisfactions sex-role attitudes flexibility of job and jusbands` role recognition.

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A Survey of Human Action Recognition Approaches that use an RGB-D Sensor

  • Farooq, Adnan;Won, Chee Sun
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.281-290
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    • 2015
  • Human action recognition from a video scene has remained a challenging problem in the area of computer vision and pattern recognition. The development of the low-cost RGB depth camera (RGB-D) allows new opportunities to solve the problem of human action recognition. In this paper, we present a comprehensive review of recent approaches to human action recognition based on depth maps, skeleton joints, and other hybrid approaches. In particular, we focus on the advantages and limitations of the existing approaches and on future directions.

Design and Implementation of a Face Recognition System-on-a-Chip for Wearable/Mobile Applications

  • Lee, Bongkyu
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.244-252
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    • 2015
  • This paper describes the design and implementation of a System-on-a-Chip (SoC) for face recognition to use in wearable/mobile products. The design flow starts from the system specification to implementation process on silicon. The entire process is carried out using a FPGA-based prototyping platform environment for design and verification of the target SoC. To ensure that the implemented face recognition SoC satisfies the required performances metrics, time analysis and recognition tests were performed. The motivation behind the work is a single chip implementation of face recognition system for target applications.

Subword-based Lip Reading Using State-tied HMM (상태공유 HMM을 이용한 서브워드 단위 기반 립리딩)

  • Kim, Jin-Young;Shin, Do-Sung
    • Speech Sciences
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    • v.8 no.3
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    • pp.123-132
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    • 2001
  • In recent years research on HCI technology has been very active and speech recognition is being used as its typical method. Its recognition, however, is deteriorated with the increase of surrounding noise. To solve this problem, studies concerning the multimodal HCI are being briskly made. This paper describes automated lipreading for bimodal speech recognition on the basis of image- and speech information. It employs audio-visual DB containing 1,074 words from 70 voice and tri-viseme as a recognition unit, and state tied HMM as a recognition model. Performance of automated recognition of 22 to 1,000 words are evaluated to achieve word recognition of 60.5% in terms of 22word recognizer.

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Implementation of Pen-Gesture Recognition System for Multimodal User Interface (멀티모달 사용자 인터페이스를 위한 펜 제스처인식기의 구현)

  • 오준택;이우범;김욱현
    • Proceedings of the IEEK Conference
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    • pp.121-124
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    • 2000
  • In this paper, we propose a pen gesture recognition system for user interface in multimedia terminal which requires fast processing time and high recognition rate. It is realtime and interaction system between graphic and text module. Text editing in recognition system is performed by pen gesture in graphic module or direct editing in text module, and has all 14 editing functions. The pen gesture recognition is performed by searching classification features that extracted from input strokes at pen gesture model. The pen gesture model has been constructed by classification features, ie, cross number, direction change, direction code number, position relation, distance ratio information about defined 15 types. The proposed recognition system has obtained 98% correct recognition rate and 30msec average processing time in a recognition experiment.

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Speech Recognition using MSHMM based on Fuzzy Concept

  • Ann, Tae-Ock
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.2E
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    • pp.55-61
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    • 1997
  • This paper proposes a MSHMM(Multi-Section Hidden Markov Model) recognition method based on Fuzzy Concept, as a method on the speech recognition of speaker-independent. In this recognition method, training data are divided into several section and multi-observation sequences given proper probabilities by fuzzy rule according to order of short distance from MSVQ codebook per each section are obtained. Thereafter, the HMM per each section using this multi-observation sequences is generated, and in case of recognition, a word that has the most highest probability is selected as a recognized word. In this paper, other experiments to compare with the results of these experiments are implemented by the various conventional recognition methods(DP, MSVQ, DMS, general HMM) under the same data. Through results of all-round experiment, it is proved that the proposed MSHMM based on fuzzy concept is superior to DP method, MSVQ method, DMS model and general HMM model in recognition rate and computational time, and does not decreases recognition rate as 92.91% in spite of increment of speaker number.

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A Usability Evaluation Method for Speech Recognition Interfaces (음성인식용 인터페이스의 사용편의성 평가 방법론)

  • Han, Seong-Ho;Kim, Beom-Su
    • Journal of the Ergonomics Society of Korea
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    • v.18 no.3
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    • pp.105-125
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    • 1999
  • As speech is the human being's most natural communication medium, using it gives many advantages. Currently, most user interfaces of a computer are using a mouse/keyboard type but the interface using speech recognition is expected to replace them or at least be used as a tool for supporting it. Despite the advantages, the speech recognition interface is not that popular because of technical difficulties such as recognition accuracy and slow response time to name a few. Nevertheless, it is important to optimize the human-computer system performance by improving the usability. This paper presents a set of guidelines for designing speech recognition interfaces and provides a method for evaluating the usability. A total of 113 guidelines are suggested to improve the usability of speech-recognition interfaces. The evaluation method consists of four major procedures: user interface evaluation; function evaluation; vocabulary estimation; and recognition speed/accuracy evaluation. Each procedure is described along with proper techniques for efficient evaluation.

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An Efficient Binarization Method for Vehicle License Plate Character Recognition

  • Yang, Xue-Ya;Kim, Kyung-Lok;Hwang, Byung-Kon
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1649-1657
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    • 2008
  • In this paper, to overcome the failure of binarization for the characters suffered from low contrast and non-uniform illumination in license plate character recognition system, we improved the binarization method by combining local thresholding with global thresholding and edge detection. Firstly, apply the local thresholding method to locate the characters in the license plate image and then get the threshold value for the character based on edge detector. This method solves the problem of local low contrast and non-uniform illumination. Finally, back-propagation Neural Network is selected as a powerful tool to perform the recognition process. The results of the experiments i1lustrate that the proposed binarization method works well and the selected classifier saves the processing time. Besides, the character recognition system performed better recognition accuracy 95.7%, and the recognition speed is controlled within 0.3 seconds.

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Applying Mobile Agent for Internet-based Distributed Speech Recognition

  • Saaim, Emrul Hamide Md;Alias, Mohamad Ashari;Ahmad, Abdul Manan;Ahmad, Jamal Nasir
    • 제어로봇시스템학회:학술대회논문집
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    • pp.134-138
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    • 2005
  • There are several application have been developed on internet-based speech recognition. Internet-based speech recognition is a distributed application and there were various techniques and methods have been using for that purposed. Currently, client-server paradigm was one of the popular technique that been using for client-server communication in web application. However, there is a new paradigm with the same purpose: mobile agent technology. Mobile agent technology has several advantages working on distributed internet-based system. This paper presents, applying mobile agent technology in internet-based speech recognition which based on client-server processing architecture.

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The Pattern Recognition Methods for Emotion Recognition with Speech Signal (음성신호를 이용한 감성인식에서의 패턴인식 방법)

  • Park Chang-Hyeon;Sim Gwi-Bo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.347-350
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    • 2006
  • In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition is determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features. The algorithms we try are artificial neural network, Bayesian learning, Principal Component Analysis, LBG algorithm. Thereafter, the performance gap of these methods is presented on the experiment result section. Truly, emotion recognition technique is not mature. That is, the emotion feature selection, relevant classification method selection, all these problems are disputable. So, we wish this paper to be a reference for the disputes.

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