• 음성과학
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• 제6권
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• pp.219-233
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• 1999

This paper presents a real-time implementation of a speaker independent speech recognition system based on a discrete hidden markov model(DHMM). This system is developed for a car navigation system to design on-chip VLSI system of speech recognition which is used by fixed point Oak DSP core of DSP GROUP LTD. We analyze recognition procedure with C language to implement fixed point real-time algorithms. Based on the analyses, we improve the algorithms which are possible to operate in real-time, and can verify the recognition result at the same time as speech ends, by processing all recognition routines within a frame. A car noise is the colored noise concentrated heavily on the low frequency segment under 400 Hz. For the noise robust processing, the high pass filtering and the liftering on the distance measure of feature vectors are applied to the recognition system. Recognition experiments on the twelve isolated command words were performed. The recognition rates of the baseline recognizer were 98.68% in a stopping situation and 80.7% in a running situation. Using the noise processing methods, the recognition rates were enhanced to 89.04% in a running situation.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제6권4호
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• pp.169-178
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• 2017

최근 보안에 대한 관심과 필요성이 증가하면서 출입자 인식 시스템의 수요가 증대되고 있다. 출입자 인식 시스템은 출입자를 인식하기 위해서 다양한 생체인식 방법을 사용하고 있다. 본 논문에서는 다양한 특성과 강점을 가진 다수의 얼굴인식 Open API 서비스를 통합하고, 그 인식결과를 앙상블 함으로써 인식 성능을 개선하는 얼굴인식 기반 출입자 인식 시스템을 제안한다. 또한 다양한 얼굴 인식 Open API 서비스를 앙상블 하는 출입자 인식 시스템의 구조를 제안한다. 성능 측정은 약 5개월 간 수집한 얼굴 데이터를 이용하여 수행하였으며, 측정결과로 본 논문에서 제안하는 출입자 인식 시스템이 단일 얼굴인식 Open API 서비스를 사용했을 때보다 더 높은 얼굴인식률을 보임을 확인하였다.

• 한국생산제조학회지
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• 제20권2호
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• pp.207-213
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• 2011

In this paper, we present a study on the real-time implementation of mobile robot to which the interactive voice recognition technique is applied. The speech command utters the sentential connected word and asserted through the wireless remote control system. We implement an automatic distance speech command recognition system for voice-enabled services interactively. We construct a baseline automatic speech command recognition system, where acoustic models are trained from speech utterances spoken by a microphone. In order to improve the performance of the baseline automatic speech recognition system, the acoustic models are adapted to adjust the spectral characteristics of speech according to different microphones and the environmental mismatches between cross talking and distance speech. We illustrate the performance of the developed speech recognition system by experiments. As a result, it is illustrated that the average rates of proposed speech recognition system shows about 95% above.

• 전기전자학회논문지
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• 제26권1호
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• pp.133-136
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• 2022

This paper is about motion gesture recognition system, and proposes the following improvement to the flaws of the current system: a motion gesture recognition system and such algorithm that uses the video image of the entire hand and reading its motion gesture to advance the accuracy of recognition. The motion gesture recognition system includes, an image capturing unit that captures and obtains the images of the area applicable for gesture reading, a motion extraction unit that extracts the motion area of the image, and a hand gesture recognition unit that read the motion gestures of the extracted area. The proposed application of the motion gesture algorithm achieves 20% improvement compared to that of the current system.

• 한국정보통신학회논문지
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• 제13권8호
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• pp.1601-1607
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• 2009

비전 시스템은 카메라를 통하여 획득한 이미지 정보를 캡쳐 후, 이를 분석하여 물체를 인식하는 것으로서, 차종 분류를 포함 한 다양한 산업현장에서 사용하고 있다. 이런 필요성으로 인하여 차종 분류를 위한 많은 연구가 이루어지고 있으나 복잡한 계산과정으로 인하여 처리 시간이 많이 소요되는 단점이 있다. 본 논문에서는 임베디드 시스템을 기반으로 하는 Vision Box를 설계하고 이를 사용한 차종인식 시스템을 제안하였다. 제안한 Vision Box의 성능을 자동차의 차종분류를 통한 사전 테스트 결과 최적 화된 환경 조건에서는 100%의 차종별 인식률을 보였으며, 조명 및 회전의 작은 변화에 따른 테스트에서 차종인식은 가능하였으나, 패턴점수가 낮아졌다. 제안한 Vision Box 시스템을 산업 현장에 적용한 결과 처리시간, 인식률 등에서 산업체의 요구 조건을 만족 할 수 있음을 확인할 수 일었다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1991년도 학술발표회 논문집
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• pp.58-63
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• 1991

This paper describes development of small scale voice dialing system using TMS320C30. Recognition vocabuliary is used 50 department name within university. In vocabulary below the middle scale, word unit recognition is more practice than phoneme unit or syllable unit recognition. In this paper, we performend recognition and model generation using DMS(Dynamic Multi-Section) and implemeted voice dialing system using TMS320C30. As a result of recognition, we achieved a 98% recognition rate in condition of section 22 and weight 0.6 and recognition time took 4 seconds.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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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.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.633-636
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• 2011

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system's environments.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.107-109
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• 2004

In this paper, authors propose the sensor fusion system that can recognize multiple 3D objects from 2D projection images and tactile information. The proposed system focuses on improving recognition performance of 3D object. Unlike the conventional object recognition system that uses image sensor alone, the proposed method uses tactual sensors in addition to visual sensor. Neural network is used to fuse these informations. Tactual signals are obtained from the reaction force by the pressure sensors at the fingertips when unknown objects are grasped by four-fingered robot hand. The experiment evaluates the recognition rate and the number of teaming iterations of various objects. The merits of the proposed systems are not only the high performance of the learning ability but also the reliability of the system with tactual information for recognizing various objects even though visual information has a defect. The experimental results show that the proposed system can improve recognition rate and reduce learning time. These results verify the effectiveness of the proposed sensor fusion system as recognition scheme of 3D object.