• 제목/요약/키워드: Position Recognition

검색결과 904건 처리시간 0.023초

음성인식을 이용한 반려 로봇의 모션제어에 대한 연구 (A Study on Motion Control of the Pet-Robot using Voice-Recognition)

  • 조예진;김현석;배태성;이수행;김진현;김재욱
    • 한국전자통신학회논문지
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    • 제17권6호
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    • pp.1089-1094
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    • 2022
  • 본 논문에서는 일상생활에서 사람과 교감하며 돌봄 인력의 공백을 완화할 수 있는 인간 공존형 반려 로봇을 연구하였다. 음성인식 모듈과 서보모터, 아두이노 보드를 기반으로 음성인식을 이용한 로봇팔 제어기능, RC카를 활용한 위치 이동 기능, 음성인식 기능을 활용하여 도트 매트릭스를 이용한 반려 로봇의 감정표현 기능을 탑재한 반려 로봇을 실험, 제작하였다. 실험 결과로 거리에 따른 음성인식 실험 결과 5~30cm의 거리에서 최적의 인식률을 보였고 성별에 따른 음성인식 실험 결과에서는 남성의 인식률이 더 높은 것을 확인할 수 있었으며 성조에 따른 음성인식 실험 결과 첫 번째 성조인 단조로운 톤에서 높은 인식률을 보였다. 이러한 동작 실험에 대한 평가 결과를 통해 반려 로봇을 만들 수 있음을 확인할 수 있었다.

옵티컬 라이브러리 시스템에서의 어드레싱을 위한 광학 문자 인식 알고리즘 제안 (Optical Character Recognition for Addressing in Optical Library System)

  • 정우영;양현석;유승헌
    • 정보저장시스템학회논문집
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    • 제11권1호
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    • pp.6-10
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    • 2015
  • Optical library system consists of disc magazines, cabinets, transfer robot and drive. Transfer robot delivers desired disc or magazine in cabinet to drive which reads data of disc. Conventional archive system stores discs in a line and transfer robot moves in one dimension. However, to store more discs, new optical archive system, optical library system, is developed which stores discs in two dimension like bookcase. Transfer robot should know the position and stored data of desired magazine to get correct data. In this paper, addressing algorithm using optical character recognition is proposed. Proposed algorithm is evaluated by experiments with implemented system.

신경회로망을 이용한 가공면 영상의 거칠기 분류 (The Classification of Roughness fir Machined Surface Image using Neural Network)

  • 사승윤
    • 한국생산제조학회지
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    • 제9권2호
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    • pp.144-150
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    • 2000
  • Surface roughness is one of the most important parameters to estimate quality of products. As this reason so many studies were car-ried out through various attempts that were contact or non-contact using computer vision. Even through these efforts there were few good results in this research., however texture analysis making a important role to solve these problems in various fields including universe aviation living thing and fibers. In this study feature value of co-occurrence matrix was calculated by statistic method and roughness value of worked surface was classified, of it. Experiment was carried out using input vector of neural network with characteristic value of texture calculated from worked surface image. It's found that recognition rate of 74% was obtained when adapting texture features. In order to enhance recogni-tion rate combination type in characteristics value of texture was changed into input vector. As a result high recognition rate of 92.6% was obtained through these processes.

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핸드 제스처를 인식하는 손동작 추적 (Hand Movement Tracking and Recognizing Hand Gestures)

  • 박광채;배철수
    • 한국산학기술학회논문지
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    • 제14권8호
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    • pp.3971-3975
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    • 2013
  • 본 논문은 핸드 제스쳐에 의해 증강현실 내의 가상 객체 제어기술로, HOG기반의 핸드 제스쳐 인식을 제안하고 있다. 인식을 위한 특징점들은 HOG불럭들에 의하여 결정되며, 크기가 다른 여러 불럭들을 시험하여 가장 적절한 불럭구성을 결정하며, AdaBoostSVM기법을 사용하여 분류 목적에 가장 적절한 불럭들을 추출한다. 실험 결과 핸드 제스쳐 인식률은 94% 이었다.

어절 정보를 이용한 한국어 문자 인식 후처리 기법 (A postprocessing method for korean optical character recognition using eojeol information)

  • 이영화;김규성;김영훈;이상조
    • 전자공학회논문지C
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    • 제35C권2호
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    • pp.65-70
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    • 1998
  • In this paper, we will to check and to correct mis-recognized word using Eojeol information. First, we divided into 16 classes that constituents in a Eojeol after we analyzed Korean statement into Eojeol units. Eojeol-Constituent state diagram constructed these constitutents, find the Left-Right Connectivity Information. As analogized the speech of connectivity information, reduced the number of cadidate words and restricted case of morphological analysis for mis-recognition Eojeol. Then, we improved correction speed uisng heuristic information as the adjacency information for Eojeol each other. In the correction phase, construct Reverse-Order Word Dictionary. Using this, we can trace word dictionary regardless of mis-recongnition word position. Its results show that improvement of recognition rate from 97.03% to 98.02% and check rate, reduction of chadidata words and morpholgical analysis cases.

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낙상 감지 폰의 개발과 낙상판단 알고리즘 (Development of a Collapse-sensing Phone and Collapse Recognition Algorithm)

  • 장덕성
    • 대한임베디드공학회논문지
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    • 제10권1호
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    • pp.41-48
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    • 2015
  • To deal with the emergency of the solitary aged people, we have developed a collapse-sensing phone, in which a collapse sensor, a GPS receiving chipset and a CDMA sending chipset are included. The general cellular phone is somewhat expensive communication device using sound and characters, but the collapse-sensing phone is a cheaper and popular version. If the collapse sensor recognizes a certain of collapse of the aged people, CDMA sending chipset will send the location of the phone which is received from satellite by GPS receiving chipset. In this paper, a collapse recognition algorithm which is developed by using much experimental data, will be introduced to explain how to recognize the real collapse from fast sitting or immediate standing after collapse. Once a true collapse is ecognized, the phone-ID and the coordinate will be sent to the server of administrative office via CDMA network. And the position of emergency will be displayed on the GIS with the rescue center.

정서 인지를 위한 뇌파 전극 위치 및 주파수 특징 분석 (Analysis of Electroencephalogram Electrode Position and Spectral Feature for Emotion Recognition)

  • 정성엽;윤현중
    • 산업경영시스템학회지
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    • 제35권2호
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    • pp.64-70
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    • 2012
  • This paper presents a statistical analysis method for the selection of electroencephalogram (EEG) electrode positions and spectral features to recognize emotion, where emotional valence and arousal are classified into three and two levels, respectively. Ten experiments for a subject were performed under three categorized IAPS (International Affective Picture System) pictures, i.e., high valence and high arousal, medium valence and low arousal, and low valence and high arousal. The electroencephalogram was recorded from 12 sites according to the international 10~20 system referenced to Cz. The statistical analysis approach using ANOVA with Tukey's HSD is employed to identify statistically significant EEG electrode positions and spectral features in the emotion recognition.

GAVQ를 이용한 음성인식에 관한 연구 (A Study on Speech Recognition using GAVQ(Genetic Algorithms Vector Quantization))

  • 이상희;이재곤;정호균;김용연;남재성
    • 산업기술연구
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    • 제19권
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    • pp.209-216
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    • 1999
  • In this paper, we proposed a modofied genetic algorithm to minimize misclassification rate for determining the codebook. Genetic algorithms are adaptive methods which may be used solve search and optimization problems based on the genetic processes of biological organisms. But they generally require a large amount of computation efforts. GAVQ can choose the optimal individuals by genetic operators. The position of individuals are optimized to improve the recognition rate. The technical properties of this study is that prevents us from the local minimum problem, which is not avoidable by conventional VQ algorithms. We compared the simulation result with Matlab using phoneme data. The simulation results show that the recognition rate from GAVQ is improved by comparing the conventional VQ algorithms.

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가상물체 인식 실험을 위한 2차원 Haptic 인터페이스 장치의 구현 (Realization of a two dimensional Haptic Interfacing Apparatus for Virtual Object Recognition Experiments)

  • 이준철;장태정
    • 산업기술연구
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    • 제19권
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    • pp.415-421
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    • 1999
  • In this paper, a 2D X-Y table, two axes of which are symmetrical, and a force sensing device are constructed, which comprise a 2D haptic interfacing apparatus. Two DC motors are used for actuating the two axes of the table and two precision encoders for sensing the position of each axis. Four PZTs are used for sensing the direction and the magnitude of the 2D force applied to the force sensing device by the user. The performance of the 2D haptic interface device is tested by 2D virtual object recognition experiments.

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스테레오 영상을 이용한 이동형 머니퓰레이터의 시각제어 (Visual Servoing of a Mobile Manipulator Based on Stereo Vision)

  • 이현정;박민규;이민철
    • 제어로봇시스템학회논문지
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    • 제11권5호
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    • pp.411-417
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    • 2005
  • In this study, stereo vision system is applied to a mobile manipulator for effective tasks. The robot can recognize a target and compute the potion of the target using a stereo vision system. While a monocular vision system needs properties such as geometric shape of a target, a stereo vision system enables the robot to find the position of a target without additional information. Many algorithms have been studied and developed for an object recognition. However, most of these approaches have a disadvantage of the complexity of computations and they are inadequate for real-time visual servoing. Color information is useful for simple recognition in real-time visual servoing. This paper addresses object recognition using colors, stereo matching method to reduce its calculation time, recovery of 3D space and the visual servoing.