• 한국의류학회지
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• 제39권3호
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• pp.369-378
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• 2015

Various forms of wearable bio-signal monitoring systems have been developed recently. Acquisition of stable bio-signal data for health care purposes needs to be unconscious and continuous without hindrance to the users' daily activities. The garment type is a suitable form of a wearable bio-signal monitoring system; however, motion artifacts caused by body movement degrade the signal quality during the measurement of bio-signals. It is crucial to stabilize the electrode position to reduce motion artifacts generated when in motion. The problems with motion artifacts remain unresolved despite their significant effect on bio-signal monitoring. This research creates a foundation for the design of garment-type wearable systems for everyday use by finding a method to reduce motion artifacts through modular design. Two distinct garment-type wearable systems (tee-shirt with a motion artifact-reducing module (MARM) and tee-shirt without a MARM) were designed to compare the effects of modular design on the measurement of heart activity in terms of electrode position displacement, signal quality index value, and morphological quality. The tee-shirt with MARM showed superior properties and yielded higher quality signals than the tee-shirt without MARM. In addition, the tee-shirt with MARM showed a better repeatability of the heart activity signals. Therefore, a garment design with MARM is an efficient way to acquire stable bio-signals while in motion.

• 복식문화연구
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• 제25권4호
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• pp.529-542
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• 2017

The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.

• Advances in nano research
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• 제14권4호
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• pp.329-334
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• 2023

Organic ferroelectric material found vast application in a verity of engineering and health technology fields. In the present study, we investigated the application of the deformable organic ferroelectric in motion measurement and improving performance in tennis players. Flexible ferroelectric material P(VDF-TrFE) could be used in wearable motion sensors in tennis player transferring velocity and acceleration data to collecting devises for analyzing the best pose and movements in tennis players to achieve best performances in terms of hitting ball and movement across the tennis court. In doing so, ferroelectric-based wearable sensors are used in four different locations on the player body to analyze the movement and also a sensor on the tennis ball to record the velocity and acceleration. In addition, poses of tennis players were analyzed to find out the best pose to achieve best acceleration and movement. The results indicated that organic ferroelectric-based sensors could be used effectively in sensing motion of tennis player which could be utilized in the optimization of posing and ball hitting in the real games.

• Journal of Electrical Engineering and Technology
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• 제13권5호
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• pp.2059-2066
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• 2018

This study explored the feasibility of utilizing an SWCNT-coated fabric sensor for the development of a wearable motion sensing device. The extent of variation in electric resistance of the sensor material was evaluated by varying the fiber composition of the SWCNT-coated base fabrics, attachment methods, number of layers, and sensor width and length. 32 sensors were fabricated by employing different combinations of these variables. Using a custom-built experimental jig, the amount of voltage change in a fabric sensor as a function of the length was measured as the fabric sensors underwent loading-unloading test with induced strains of 30 %, 40 %, and 50 % at a frequency of 0.5 Hz. First-step analysis revealed the following: characteristics of the strain-voltage curves of the fabric sensors confirmed that 14 out of 32 sensors were evaluated as more suitable for measuring human joint movement, as they yield stable resistance values under tension-release conditions; furthermore, significantly stable resistance values were observed at each level of strain. Secondly, we analyzed the averaged maximum, minimum, and standard deviations at various strain levels. From this analysis, it was determined that the two-layer sensor structure and welding attachment method contributed to the improvement of sensing accuracy.

• Transactions on Electrical and Electronic Materials
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• 제16권1호
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• pp.16-19
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• 2015

A wearable sensing ECG T-shirt for ubiquitous vital signs sensing is proposed. The sensor system consists of a signal processing board and capacitive sensing electrodes which together enable measurement of an electrocardiogram (ECG) on the human chest with minimal discomfort. The capacitive sensing method was employed to prevent direct ECG measurement on the skin and also to provide maximum convenience to the user. Also, low power integrated circuits (ICs) and passive electrodes were employed in this research to reduce the power consumption of the entire system. Small flexible electrodes were placed into cotton pockets and affixed to the interior of a worn tight NIKE Pro combat T-shirt. Appropriate signal conditioning and processing were implemented to remove motion artifacts. The entire system was portable and consumed low power compared to conventional ECG devices. The ECG signal obtained from a 24 yr. old male was comparable to that of an ECG simulator.

• 감성과학
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• 제21권3호
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• pp.165-176
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• 2018

본 연구는 시 청각 피드백을 통해 아동의 운동 효과를 증진시킬 수 있는 의류형 웨어러블 동작 센싱 및 피드백 시스템을 개발하는 것을 목적으로 한다. 본 연구에서는 직물 센서 제조 및 이를 적용한 스포츠웨어 디자인, 직물기반 동작 센싱 모듈 설계, 아동의 운동 흥미 유발을 위한 시 청각 피드백 시스템 개발 등의 일련의 연구를 수행하였다. SWCNT 기반의 동작 센싱용 신축성 직물 센서를 개발하고, 이를 의복의 사지 관절 부위에 부착한 스포츠웨어를 디자인하였으며, 센싱 모듈을 설계하여 아동을 대상으로 한 관절 동작 실험을 통해 센싱 성능을 검증하였다. 또한 악세서리 형태로 개발된 피드백 제품을 통해 본 연구에서 개발된 스포츠웨어를 착용한 아동의 동작에 따라 빛과 소리로 반응하도록 구현하였다. 본 연구의 결과로, 아동의 운동 흥미를 유발할 수 있는 아동용 스포츠웨어 및 악세서리 제품의 디자인 프로토타입을 제안하였다.

• 지능정보연구
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• 제29권2호
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• pp.23-34
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• 2023

군용 웨어러블 어플리케이션은 기존에는 상상할 수 없었던 개인 상태 점검 및 모니터링을 가능케 함으로써 큰 주목을 받고 있다. 그 중에서도 인간의 동작 상태를 인식하기 위한 기술은 개별 병력의 운용 현황 및 이동 상태를 즉각적으로 수집하여 능동적인 병력 관장을 허용한다는 점에서 그 필요성이 매우 높다. 본 논문에서는 군용 웨어러블 어플리케이션 연구의 일환으로 전투 상황 중의 군인이 어떤 환경에서 어떤 동작을 수행하고 있는지에 대한 정보를 취득하는 발목형 웨어러블 디바이스를 제안한다. 실제상황을 가정했을 때, 군인의 상지는 상황에 대한 변동성에 쉽게 노출되므로 지면과 상시 상호작용하고 있는 발목 부근에 측정 모듈을 부착한다. 측정 데이터는 각 동작 중의 3축 가속도 및 3축 각속도로 이들은 인간이 설정한 알고리즘으로는 해석이 불가능하다는 특징이 있다. 본 논문에서는 이러한 동적 데이터를 활용해 인간의 행동양식을 파악하기 위해 데이터의 이동 양상을 모델링하는 과정을 소개한다. 데이터로부터 추출되는 특징은 총 네 가지로 (최댓값, 최솟값, 평균, 표준편차) 딥러닝 모델의 인풋으로 활용돼 총 여덟 종류의 주요 군사 동작(Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, High Crawl)을 분류하는데 활용된다. 그 결과, 임의의 시험 상황에 대해 95.16%의 정확도로 군인의 이동 현황을 파악해낼 수 있었다. 본 연구는 웨어러블 기술 및 인공지능을 융합하여 군용 어플리케이션으로 확장될 동작 인식의 새로운 접근 방식을 제안했다는 점에서 의미가 크다.

• 로봇학회논문지
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• 제16권2호
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• pp.79-85
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• 2021

Soft fluidic actuators (SFAs) are widely utilized in various areas such as wearable systems due to the inherent compliance which allows safe and flexible interaction. However, SFA-driven systems generally require a large pump, multiple valves and tubes, which hinders to develop a miniaturized system with small range of motion. Thus, a highly integrated soft actuator needs to be developed for implementing a compact SFA-driven system. In this study, we propose an electro-hydraulic soft zipping actuator that can be used as a miniature pump. This actuator exerts tactile force as a dielectric liquid contained inside the actuator pressurized its deformable part. In addition, the proposed actuator can estimate the internal dielectric liquid thickness by using its self-sensing function. Besides, the electrical characteristics and driving performance of the proposed system were verified through experiments.

• 센서학회지
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• 제24권1호
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• pp.69-77
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• 2015

The Microsoft Kinect is a motion sensing input device which is widely used for many motion recognition applications such as fitness, sports, and rehabilitation. Until now, most of remote rehabilitation systems with the Microsoft Kinect have allowed the user or patient to do rehabilitation or fitness by following the motion of a video screen. However in this paper we propose a smart remote rehabilitation system with the Microsoft Kinect motion sensor and a wearable ECG sensor which can allow patients to offer monitoring of the individual's performance and personalized feedback on rehabilitation exercises. The proposed noble smart remote rehabilitation is able to monitor and measure the state of the patient's condition during rehabilitation exercise, and transmits it to the prescriber. This system can give feedback to a prescriber, a doctor and a patient for improving and recovering motor performance. Thus, the efficient rehabilitation training service can be provided to patient in response to changes of patient's condition during exercise.

• 센서학회지
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• 제31권5호
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• pp.293-300
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• 2022

Flexible, wearable, and implantable electronic sensors have started to gain popularity in improving the quality of life of sick and healthy people, shifting the future paradigm with high sensitivity. However, conventional technologies with a limited lifespan occasionally limit their continued usage, resulting in a high cost. In addition, traditional battery technologies with a short lifespan frequently limit operation, resulting in a substantial challenge to their growth. Subsequently, utilizing human biomechanical energy is extensively preferred motion for biologically integrated, self-powered, functioning devices. Ideally suited for this purpose are piezoelectric energy harvesters. To convert mechanical energy into electrical energy, devices must be mechanically flexible and stretchable to implant or attach to the highly deformable tissues of the body. A systematic analysis of piezoelectric nanogenerators (PENGs) for personalized healthcare is provided in this article. This article briefly overviews PENGs as self-powered sensor devices for energy harvesting, sensing, physiological motion, and healthcare.