• Title/Summary/Keyword: 글러브

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데이터 글러브를 이용한 자동차 로봇 제어 인터페이스 설계

  • Kwon, Cha-Uk;Kim, Iee-Jo;Cha, Kyung-Ae
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2009.05a
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    • pp.93-97
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    • 2009
  • 현재 손가락 및 제스춰 인식 같은 영상처리를 이용하여 로봇의 움직임을 제어하는 방법이 많이 연구되고 있지만, 인식 속도가 느려서 빨리 제어하지 못하는 단점이 있다. 하지만 데이터 글러브와 같은 입력 장치를 이용하면 쉽고 빠르게 제어가 가능하다. 이에 본 논문에서는 로봇 키트를 이용하여 자동차 로봇을 구현하고, 이를 데이터 글러브(Data Glove)와 연동시켜 움직임을 제어하는 방법을 제안한다.

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Development of Data Glove using Image Processing (영상처리를 이용한 데이터 글러브의 구현)

  • 이일로;엄성은;안병하
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2291-2294
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    • 2003
  • 본 논문에서는 손목이나 손바닥 아래에 부착된 PC카메라와 두 개의 광원을 이용한 데이터 글러브 구현 방법을 제안한다 기존의 데이터 글러브 방식은 글러브를 손에 착용하여야 하는 단점이 있으며 영상처리 기반의 HCI 방법 또한 공간상에 고정된 카메라를 이용함으로써 웨어러블 컴퓨팅이나 모바일 환경하에서는 사용할 수 없다. 이 문제를 해결하기 위해 본 논문은 착용 가능한 한대의 카메라와 두 개의 평행 광을 사용하여 손 모양을 입력하는 방법을 제안하였다. 또한 손 영상을 제외한 배경영상을 이용하여 손의 변위를 얻어낼 수 있는 방법을 제안한다. 제안된 방법을 구현한 "BareHand 1.0"과 테스트 결과에 대해서도 논하였다.

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The Impact of Color on the Glove Pitcher Hitting a Batter Concentration (투수의 글러브 색상이 타자의 타격 집중도에 미치는 영향)

  • Kim, HyunBin;Kim, ByoungJun
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.405-411
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    • 2017
  • The purpose of this study was to identify the color that you want the pitcher glove hit impact on the intensity of the other. The color of the glove pitcher was set to black, orange, beige three kinds analyzed the concentration of the batter accordingly. Subjects of this study were 15 people targeting high school baseball players in Daejeon, through a pre- test and vision test color blind players were selected with no visual problems. After the blow of the experiment was used to color the glove Nideffer is modified to fit and complement the six subscales B-TAIS. As a result, when wearing a colored glove that contrasts with the color of the ball, the batter's concentration was increased. Hopefully, research will take place using the ball skill and equipment of various pitchers.

Effect of 'RAPAEL Smart Glove's on Cognitive Function and Activities of Daily Living in Mild Cognitive Impairment (라파엘 스마트 글러브 적용이 경도인지장애 환자의 인지기능 및 일상생활 수행능력에 미치는 효과)

  • Kim, Yo-Han;Park, Si-Young;Jung, Jea-Hun
    • Journal of Society of Occupational Therapy for the Aged and Dementia
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    • v.12 no.2
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    • pp.75-85
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    • 2018
  • Objective : The purpose of this study aimed to find out about the impact of RAPAEL Smart Glove on cognitive function and Daily living. Method : While 15 experimental group was given 'RAPAEL Smart Glove', 15 control group was given traditional cognitive rehabilitation. LOTCA, NCSE and MBI were taken to assess cognitive function and activities of daily living of two group before and after each intervention. Result : Cognitive function and Activities of Daily Living of both experimental group and control group presented statistically significant difference before and after each intervention(p<.05). But Statistically, the experiment group presented a significant improvement. Conclusion : The result of this study indicates that the existing rehabilitation treatment and 'RAPAEL Smart Glove' together can produce good effect on cognitive function and activities of Daily Living of mild cognitive impairment patient.

Smart Glove Gimbal Control that Improves the Convenience of Drone Control (드론 제어의 편의성을 향상한 스마트 글러브 짐벌 제어)

  • Lee, Seung Ho;Shin, Soo Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.890-896
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    • 2022
  • In this paper, gimbal camera control through smart gloves was implemented to increase convenience and accessibility to the control of drones used in various fields. Smart gloves identify human gestures and transmit signals through Bluetooth. The received signal is converted into a signal suitable for the drone through a GCS (Gound Control Station). Signals from smart gloves are expressed in a quaternion method to prevent gimbal locks, but for gimbal cameras, conversion is required to use Roll, Pitch, and Yaw methods. The data conversion mission is performed in the GCS. The GCS transmits an input signal to the control board of the drone through Wi-Fi. The control board generates and outputs the transmitted signal in a PWM manner. The output signal is input to the gimbal camera through the SBUS method and controlled. The input signal of the smart glove averaged 0.093 s and up to 0.099 s to output to the gimbal camera, showing that there was no problem in real-time use.

A Glove Box for the Subsampling of Suboxic and Cold Core Sediment (아산화 및 저온의 코아 퇴적물 중 부시료 채취를 위한 글러브박스)

  • JUNG, HOI-SOO;KWEON, SOO-JAE;KIM, CHONG-KUN
    • 한국해양학회지
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    • v.25 no.4
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    • pp.240-244
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    • 1990
  • To solve two problems, temperature shock to the man and difficulty in exchanging the air in the glove box into N2 gas, during the subsampling of Suboxic and cold core sediments, a portable glove box with a refrigerating machine and a gas exchanging bag was constructed for subsampling of sediment cores on board. The refrigerator of the glove box can cool down 200 litter air at 30$^{\circ}C$ to 2$^{\circ}C$${\pm}$2$^{\circ}C$ within 5 minutes. The box was successfully operated during the second KORDI's deep sea research cruise of 1989 in the North equatorial Pacific. Pore water data obtained from the cruise show no evidence for artifacts caused by warming up or oxidation of sediments during subsampling.

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Optimize Data Glove-based System for Korean Finger Spelling Recognition (한글 지화 인식에 최적화된 데이터 글러브 시스템)

  • Min, Seung-Ki;Oh, Sang-Hyeok;Kim, Gyo-Ryeong;Yoon, Tae-Hyun;Lim, Chun-Gyu;Lee, Yun-Ii;Jung, Kee-Chul
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06c
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    • pp.237-241
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    • 2007
  • 본 논문에서는 지화 인식에 최적화된 데이터 글러브 기반의 시스템을 제안한다. 제안된 데이터 글러브는 적은 수의 센서로 인식 속도의 향상을 기대할 수 있으며 한글의 지화 인식만을 위한 특수한 목적을 가지고 저렴하게 설계되었다. 그에 따라 한글의 지화를 사용한 많은 어플리케이션에 쉽게 적용할 수 있을 것이 기대된다. 2개의 틸트 센서는 손의 방향을 인식하고 5개의 플렉스 센서는 각 손가락의 구부러진 정도를 측정한다. 제안된 시스템에서는 k-means 알고리즘과 간단한 인덱싱 방식을 사용하여 한글의 기본적인 음소 24개를 인식하는 실험을 하였으며 인식율은 80.27% 에 이르렀다.

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A Study on the Analysis of Factors for the Golden Glove Award by using Machine Learning (머신러닝을 이용한 골든글러브 수상 요인 분석에 대한 연구)

  • Uem, Daeyeob;Kim, Seongyong
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.48-56
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    • 2022
  • The importance of data analysis in baseball has been increasing after the success of MLB's Oakland which applied Billy Beane's money ball theory, and the 2020 KBO winner NC Dinos. Various studies using data in baseball has been conducted not only in the United States but also in Korea, In particular, the models using deep learning and machine learning has been suggested. However, in the previous studies using deep learning and machine learning, the focus is only on predicting the win or loss of the game, and there is a limitation in that it is difficult to interpret the results of which factors have an important influence on the game. In this paper, to investigate which factors is important by position, the prediction model for the Golden Glove award which is given for the best player by position is developed. To develop the prediction model, XGBoost which is one of boosting method is used, which also provide the feature importance which can be used to interpret the factors for prediction results. From the analysis, the important factors by position are identified.

Vibrotactile Glove Mouse (진동촉각 글러브 마우스)

  • Park, Jun-Hyung;Jeong, Ju-Seok;Jang, Tae-Jeong
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.741-744
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    • 2009
  • In this paper, We introduce the glove mouse using a Gyroscope, acceleration sensor, Pin-type Viboratctile Display Device and USB HID. The device recognize a user's wrist by Gyroscope and acceleration sensor in the glove and transmit the data to USB dongle which is recognized the manufactured mouse by Blutooth. Also, using a special application, We transmit the tactile information to user through the Pin-type Vibrotactile Display. We implement wearable system in the glove except USB device. If user want to use general spatial mouse, we recognize mouse USB dongle only without another application. If user want to feel the tactile sensationn, we can use by connecting PC serial communication port to USB dongle.

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