• Journal of Advanced Navigation Technology
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• v.15 no.2
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• pp.319-325
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• 2011

In this paper, we propose the matching model between virtual reality and the real-world for peoples with limited mobility. The proposed matching model is consist of four parts: wearable input device-based PC control, hand-motion pattern recognition, application software, and matching between virtual reality and the real-world. To recognition mouse functions and hand-motion patterns from six-axis coordinate of wearable input device, RF communication is used. In addition, to easily control the real-world, virtual reality has been implemented with realism of the real-world. Some experiments are conducted so as to verify the proposed model, and as a result, hand-motion recognition as well as virtual reality control are well performed.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1662-1667
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• 2005

In this paper, analysis, design, control and prototype construction of a wearable wire-driven haptic interface called HapticPen is discussed. This device can be considered as a wire driven parallel mechanism which three wires are attached to a pen-tip. Wire tensions are provided utilizing three DC servo motors which are attached to a solid frame on the user's body. This device is designed as input as well as output device for a wearable PC. User can write letters or figures on a virtual plate in space. Pen-tip trajectory in space is calculated using motor encoders and force feedback resulting from contact between pen and virtual plate is provided for constraining the pen-tip motion onto the virtual plane that can be easily setup by arbitrary non-collinear three points in space. In this paper kinematic model, workspace analysis, application analysis, control and prototype construction of this device are presented. Preliminary experiments on handwriting in space show feasibility of the proposed device in wearable environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.667-670
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• 2007

Wellness monitoring is a growing area that will benefit from the use of wearable computing systems. The purpose of this study is to implement the wearable ECG monitoring system for ubiquitous healthcare. This paper presents a prototype wearable wellness monitoring system capable of measuring, transmitting and analyzing continuous ECG data. The hardware system allows data to be transmitted wirelessly from chest belt type sensors to a server PC using Zigbee. We conducted experiments using the system for ECG monitoring and medical screening tests and present preliminary data and results.

• The Optical Journal
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• s.148
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• pp.32-34
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• 2013

휴대폰 및 노트북 PC로 대표되는 모바일(mobile) 시대의 전력 공급원으로 핵심적 기능을 수행해 온 배터리는 곧 다가올 신개념 스마트 전자기기인 웨어러블 컴퓨터(wearable computers)에서 또 한 번 활약할 것이라는 기대를 모으고 있다. 하지만 웨어러블 컴퓨터의 다른 요소 전자 기술들에 비해 개발 수준이 현저히 뒤쳐져 있어 현재 오히려 웨어러블 일렉트로닉스(wearable electronics)의 발전을 더디게 하는 기술적 난제로 여겨지고 있다. 본 고에서는 배터리 구성 및 작동 원리에 대한 간략한 소개와 함께 웨어러블 컴퓨터용 플렉시블 배터리의 요구 특성 및 기술적 한계 극복을 위한 최신 연구 개발 동향에 대해 살펴보고자 한다.

• 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.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.920-923
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• 2003

An wearable electrocardiogram (ECG) monitoring system is a widely used non-invasive diagnostic tool for ambulatory patient who may be at risk from latent life-threatening cardiac abnormalities. In this paper, we have a portable ECG monitoring system with conductive fiber which was characterized by the small-size and the low power consumption. The system consists of conductive fibers, one-chip microcontroller, ECG preprocessing circuit, and monitoring software to be able to record and analyze in PC. ECG preprocessing circuit is made of pre-amplifier with gain of 10, band-pass filter with bandwidth of 0.5-120Hz and 2.5V offset circuit for A/D conversion. ECG signals obtained by sensor are included with corrupted noises such as a baseline wandering, 60 Hz power noise and interference noise by body movement. For cancellation corrupted noises in signals obtained by conductive fiber, we used the wavelet decomposition of wavelet transforms in MATLAB toolbox.

• Information and Communications Magazine
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• v.20 no.6
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• pp.735-745
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• 2003

PDA, 스마트폰, 인터넷단말기, 인터넷TV, 스마트태그 등의 다양한 정보기기는 블루투스, 802.11b, IEEE 1394, CDMA 등의 무선통신 기술 과 융합되어 기존의 고정형 데스크탑 PC 중심의 컴퓨팅 패러다임을 이동형으로 변화시키고 있다. 이러한 패러다임은 사용자가 언제 어디서든지 정보를 접근할 수 있도록 PC(Personal Computer) 기능을 갖는 정보단말을 사용자의 몸에 편하게 지니고 다닐 수 있게 하거나(wearable), 모든 사물에 컴퓨팅 기능을 집어넣어 사용자에게 보이지 않는 컴퓨팅 환경을 제공하는(ubiquitous) 추세로 발전하고 있다. 본 고에서는 이러한 추세에 따른 포스트PC로 일컫는 차세대 정보단말 기술의 발전 방향과 유비쿼터스 네트워크와의 융합에 따라 새롭게 떠오르고 있는 서비스 기술에 대해 살펴보았다.

• Journal of Biomedical Engineering Research
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• v.28 no.2
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• pp.280-286
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• 2007

The wearable sensor glove was developed using EDA sensors and conducting fabric. EDA(Electro-dermal Activity) signal is an electric response of human skin. There are SIL(Skin Impedance Level) and SIR(Skin Impedance Response) in EDA. SIL consists mostly of a DC component while SIR consists of an AC component. The relationship between drowsiness and the EDA signal is utilized. EDA sensors were made using a conducting fabric instead of AgCl electrodes, for a more suitable, more wearable device. The EDA signal acquisition module was made by connecting the EDA sensor gloves through conductive fabric lines. Also, the EDA signal acquisition module can be connected to a PC that shows the results of the EDA signal processing analysis and gives proper feedback to the user. This system can be used in various applications to detect drowsiness and prevent accidents from drowsiness for automobile drivers.

• Journal of Sensor Science and Technology
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• v.22 no.1
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• pp.76-83
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• 2013

A real-time wireless monitoring and analysis methods using the wearable PPG sensor to estimate cardiovascular condition is studied for ubiquitous healthcare service. A small size and low-power consuming wearable photoplethysmogram (PPG) sensor is designed as a wrist type device and connected with the IP node assigned its own IPv6 address. The measured PPG waveform in the IP node is collected and transferred to a central server PC through the IP-enabled wireless network for storage and analysis purposes. A monitoring and analysis program is designed to process the accelerated plethysmogram (APG) waveform by applying the second order derivatives to analyze systolic waves as well as heart rate variability analysis from the measured PPG waveform. From our results, the features of cardiovascular condition from individual's PPG waveform and estimation of vascular compliance by the comparison of APG-aging index (AI) and ratio of LF/HF are demonstrated.

• Journal of Sensor Science and Technology
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• v.20 no.6
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• pp.382-387
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• 2011

Whether a person is feeling sleepy or reasonably awake is important safety information in many areas, such as humans operating in traffic or in heavy industry. The changes of body signals have been mostly researched by looking at electroencephalogram(EEG) signals but more and more other medical signals are being examined. In our study, an electrocardiogram(ECG) signal is measured at a sampling rate of 100 Hz and used to try to distinguish the possible differences in signal between the two states: awake and drowsy. Practical tests are conducted using a wireless sensor node connected to a wearable ECG sensor, and an ECG signal is transmitted wirelessly to a base station connected to a server PC. Through the QRS complex in the ECG analysis it is possible to obtain much information that is helpful for diagnosing different types of cardiovascular disease. A program is made with MATLAB for digital signal filtering and graphing as well as recognizing the parts of the QRS complex within the signal. Drowsiness detection is performed by evaluating the R peaks, R-R interval, interval between R and S peaks and the duration of the QRS complex..