• Title/Summary/Keyword: In-Body Communication

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A Study of Voice signal Capture for communication in the AFV (기동무기체계에서의 통신을 위한 음성신호 포착 연구)

  • 김석봉;이성태
    • Journal of the Korea Institute of Military Science and Technology
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    • v.6 no.1
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    • pp.81-90
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    • 2003
  • In the military communication environment, it is very difficult to obtain clear voice signal due to the high level noise. The purpose of this study is to find out the best body spot to get the vocal chords signal by measuring the skin or the bone conducting vibrations of different body positions within the noise environment. Based on the experimental study, it was found out that the measurement of sound signal within the ear is the best way to get the voice which comes from the vocal chords and this method can prevent the interruption of noise. This study will give the effective voice communication method in the high noise environment and be applicable to military purpose.

Understanding of Technologies and Research Trends of Wireless Body Area Networks (Wireless Body Area Networks의 관련기술과 연구경향에 대한 이해)

  • Ha, Il-Kyu;Ahn, Byoung-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.8
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    • pp.1961-1972
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    • 2014
  • Recently, with the increasing of the interest in the integration of medical technology and information communication technology, researches on WBAN (Wireless Body Area Networks) that try to apply sensor network to the human body have been processed actively. The existing sensor network technology has the potential to be used in WBAN, but it has some limitations also. In particular, because the sensors are likely to communicate through each part of the body, it has a very different network environment from the sensor network that uses a free space. Therefore, researches on WBAN have a variety area of study that slightly different from the conventional sensor networks and take into account the characteristics of the body. In this study, we investigate the environmental characteristics of WBAN that are separated from the conventional sensor network, and the research trends of WBAN systematically by using the technique of SLR (Systematic Literature Review) from 2001 around when the concept of WBAN has been introduced. The investigation includes the classification of research and the researcher's features. And the survey results and the outlook for further study are summarized.

A Study on the Effects of Electromagnetic Wave in VLF band on Human Body in Light Rail Transit (경량전철시스템 저주파대역 전자기파 측정 시험)

  • Lee, H.M.;Kim, G.D.;Oh, S.C.
    • Proceedings of the KIEE Conference
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    • 2005.04a
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    • pp.226-228
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    • 2005
  • The effects of electromagnetic wave in very low frequency band on human body. It's effects on human body in the LRT(Light Rail Transit) are measured and tested at the test track in Kyongsan. The measured results are analyzed by the criterion announced by Ministry of information and communication in republic of Korea.

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Robust Action Recognition Using Multiple View Image Sequences (다중 시점 영상 시퀀스를 이용한 강인한 행동 인식)

  • Ahmad, Mohiuddin;Lee, Seong-Whan
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.509-514
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    • 2006
  • Human action recognition is an active research area in computer vision. In this paper, we present a robust method for human action recognition by using combined information of human body shape and motion information with multiple views image sequence. The principal component analysis is used to extract the shape feature of human body and multiple block motion of the human body is used to extract the motion features of human. This combined information with multiple view sequences enhances the recognition of human action. We represent each action using a set of hidden Markov model and we model each action by multiple views. This characterizes the human action recognition from arbitrary view information. Several daily actions of elderly persons are modeled and tested by using this approach and they are correctly classified, which indicate the robustness of our method.

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Position and Attitude Estimation of a Capsule Endoscope based on Ultrasonic Ranging (초음파 거리를 이용한 캡슐 내시경의 위치 및 자세각 추정)

  • Kim, Eun-Joung;Kim, Myung-Yu;Kim, Deok-Ki;Kim, Yong-Dae;You, Young-Gap
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.5
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    • pp.38-44
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    • 2007
  • This paper presented a location and attitude estimation scheme of a capsule endoscope based on ultrasonic ranging. The scheme comprised eight on-capsule ultrasonic sensors to alleviate measurement errors due to irregularities in human body ultrasonic characteristics. It calculated the coordinate values and angles in a Cartesian coordinate system. The Matlab simulation reflecting random errors yielded the average deviations of 0.8mm in the location and $0.2^{\circ}$ in the attitude angle. These values are far smaller than normal intestine movement ranges inside human body, and will contribute accurate diagnosis of intestine.

Development of u-Lifecare Monitoring System Device (u-라이프케어 모니터링 시스템 단말기 개발)

  • Choi, Dong-Oun;Kang, Yun-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1533-1540
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    • 2012
  • u-Life care device collect body bio formation, and classify and store them in exercise patterns. Afterwards, the devices send the data through bluetooth wireless communication to the smart phones which set Google Android operation system at regular intervals. The information is checked out through application. u-Life care device calculates calories spent a day after monitoring activity quantity with 3-axis acceleration sensor. The device judges the status of health through body data mining and consults tailored exercise treatment. When sending body data, the device sends them in smart phone through Blue Tooth wireless communication at once. So, as a strong point, the device doesn't need mobile gateway or home gateway used for sending to web server information sensed from exercise life care products.

The Changes of the body composition and vascular flexibility According to Pilates mat Exercise during 12 weeks in elderly women (12주간 필라테스 매트 운동에 따른 노인 여성의 신체조성 및 혈관탄성도의 변화)

  • Jang, Ji-Eun;Yoo, Yong-Kwon;Lee, Byung-Hoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.11
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    • pp.1777-1784
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    • 2013
  • The purpose of this study was Changes of body composition and vascular flexibility check according to Pilates Mat exercise in elderly Women and in future, Exercise programs for seniors health promotion as evidence when tried to utilize. Female 30 elderly patients classified into the control group and the exercise group, who was conducted Pilates Mat exercise was gradually intensity applied for 60 minutes, three times per 1week, a total of 12 weeks. The following were result the study. Body composition showed statistically significant increased(p<.01) in skeletal muscle and body fat rates was decreased(p<.01), and there was no statistically significant difference in body fat mass. Vascular flexibility showed systolic pressure was statistically significant decreased(p<.01) and peripheral pulse pressure were statistically significant decreased(p<.01), and there was no statistically significantly difference in diastolic pressure and aorta pulse pressure. As a result of all these, it was judged that a positive effect for body composition, and vascular flexibility after pilates mat exercise in 12 weeks.

Analysis of Patent Trends for Body Size Measurement Technology (신체 치수 측정기술 특허 동향 분석)

  • Jeon, Young-Ju;So, Ji-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.209-213
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    • 2021
  • For the human body shape information, body measurement techniques using a tape measure or image analysis are used. However, there is a demand for a method with high measurement accuracy and reproducibility while being simple. In this paper, domestic and foreign patent research related to body size measurement technology was conducted to identify the development trend of the related technology. WISDOMAIN DB was used to search for patents published in Korea, the United States, Japan, and Europe, and valid patents were derived by defining the technical scope of major and medium classifications and sub-categories. For the derived patents, patent trends by year, major applicants by country, and the status of technological fields were analyzed. In the field of body size measurement technology, the proportion of patent applications filed in Korea is high, indicating that Korea is leading the patent application in this field. Although the number of patent applications in the field of sensor-type measurement technology was not large, it has an advantage in measurement simplicity, so the development of related technology is expected to contribute to the improvement of measurement accuracy related to body composition analysis.

Efficient Interference Cancellation Scheme for Wireless Body Area Network

  • Bae, Jung-Nam;Choi, Young-Hoon;Kim, Jin-Young;Kwon, Jang-Woo;Kim, Dong-In
    • Journal of Communications and Networks
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    • v.13 no.2
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    • pp.167-174
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    • 2011
  • In this paper, we propose and simulate an efficient interference cancellation scheme with an optimal ordering successive interference cancellation (SIC) algorithm for ultra wideband (UWB)/multiple-input-multiple-output (MIMO) systems in a wireless body area network (WBAN). When there are several wireless communication devices on a human body, multiple access interference (MAI) usually occurs. To mitigate the effect of MAI and achieve additional diversity gain, we utilize SIC with an optimal ordering algorithm. A zero correlation duration (ZCD) code with robust MAI capability is employed as a spread code for UWB systems in a multi-device WBAN environment. The performance of the proposed scheme is evaluated in terms of the bit error rate (BER). Simulation results confirm that the BER performance can be improved significantly if the proposed interference cancellation scheme and the ZCD code are jointly employed.

Design and Implementation of a Body Fat Classification Model using Human Body Size Data

  • Taejun Lee;Hakseong Kim;Hoekyung Jung
    • Journal of information and communication convergence engineering
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    • v.21 no.2
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    • pp.110-116
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    • 2023
  • Recently, as various examples of machine learning have been applied in the healthcare field, deep learning technology has been applied to various tasks, such as electrocardiogram examination and body composition analysis using wearable devices such as smart watches. To utilize deep learning, securing data is the most important procedure, where human intervention, such as data classification, is required. In this study, we propose a model that uses a clustering algorithm, namely, the K-means clustering, to label body fat according to gender and age considering body size aspects, such as chest circumference and waist circumference, and classifies body fat into five groups from high risk to low risk using a convolutional neural network (CNN). As a result of model validation, accuracy, precision, and recall results of more than 95% were obtained. Thus, rational decision making can be made in the field of healthcare or obesity analysis using the proposed method.