• Journal of Advanced Navigation Technology
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• v.18 no.6
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• pp.619-624
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• 2014

Nowadays there are various smart devices and development with the development of smart phones and that can be attached to the human body wearable computing device has been in the spotlight. In this paper, we proceeded developing wearable devices in watch type which can detect user's movement and developing a system which connects the wearable devices to smart TVs, or smart phones so that users can save and manage their physical information in those devices. Health care wearable devices already existing save information by connecting their systems to smart phones. And, smart TV health applications usually include motion detecting systems using cameras. However, there is a limit when connecting smart phone systems to different devices from various companies. Also, in case of smart TV, because some devices may not have cameras, there can be a limit for users who wants to connect their devices to smart TVs. Wearable device and user information collected by using the smart phone and when it is possible to exercise and manage anywhere. This information can also be confirmed by the smart TV applications. By using this system will be able to take advantage of the study of the behavior of the future work of the user more accurately be measured in recognition technology and other devices.

• It's Smart Media
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• v.3 no.4
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• pp.33-37
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• 2014

• It's Smart Media
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• v.3 no.4
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• pp.38-44
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• 2014

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.586-597
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• 2014

The next generation mobile computing technology is recently attracting attention that smartphone and wearable device imbedded with various sensors are being deployed in the world. Existing activity and posture recognition research can be divided into two different ways considering feature of one's movement. While activity recognition focuses on catching distinct pattern according to continuous movement, posture recognition focuses on sudden change of posture and body orientation. There is a lack of research constructing a system mixing two separate patterns which could be applied in real world. In this paper, we propose a method to use both smartphone and wearable device to recognize activity and posture in the same time. To use smartphone and wearable sensor data together, we designed a pre-processing method and constructed recognition model mixing signal vector magnitude and orientation pattern features of vertical and horizontal. We considered cycling, fast/slow walking and running activities, and postures such as standing, sitting, and laying down. We confirmed the performance and validity by experiment, and proved the feasibility in real world.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.845-847
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• 2015

In this paper, we develope a detachable wearable device consisting of two parts: main module and accessary module including battery. The main module can display any tracking information and alarms related to the smart phone. In addition, it has small sensors such as heart rate sensor, NFC, T-money, and GPS that can be selected by user's requirement. The accessary module includes battery. The suggested wearable device can also solve the problems faced with today's many other wearable devices: 1) limited battery life 2) the lack of compatibility and expandability due to run on internal components designed for smart phone 3) the design has always been a crucial factor in determining the success of main stream consumer wearable devices.

• Korea Science and Art Forum
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• v.34
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• pp.251-262
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• 2018

The purpose of this study is to understand how wearable computing devices are designed and how to design them in a technology based wearable device design research. Research is premised on the consideration of producers and consumers. There is wearable computer of eyeglasses, watches, clothes, and so on. The user can always wear these products comfort and use as part of the body without any sense of discomfort, and the goal is to supplement or double the ability of the human being. It should be easy to use them convenient, wear comfortable, safe and sociable at any time. For the satisfaction these conditions, the wearable computing devices have several factors. There are technical performances, visual aesthetics, Human body system and devices communication and safety. Furthermore, these factors have to match to operating system, real-time operating system and applied software. To comprehend wearable computing devices should be offered the design of the both software and hardware designed.

• Journal of the KSME
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• v.55 no.5
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• pp.43-47
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• 2015

이 글에서는 이례적인 속도로 급변하는 모바일 스마트 디바이스, 증강현실, 웨어러블 디바이스 등 모바일 웹 관련 시장의 폭발적인 성장에 발맞추어 모바일 웹 환경에서의 부품 및 기자재 컨텐츠 가시화 기술의 동향과 기술적 이슈를 살펴본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.609-610
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• 2017

국내 외에서 잘못된 생활습관으로 대사증후군 환자가 급증하고 있다. 최근 대사증후군 환자들을 위한 웨어러블 디바이스를 이용하여 생활습관정보를 수집 분석하여 피드백하는 연구가 진행되고 있다. 생활습관 정보를 수집하는 대표적인 방법은 온라인/오프라인 설문지 또는 웨어러블 디바이스를 활용하여 수집하는 형태로 구분된다. 그러나 기존 설문지 방법은 연속적인 데이터를 얻기 어렵고, 웨어러블 디바이스를 이용하는 방법은 신뢰성 있는 데이터를 수집하기에는 한계가 있다. 따라서 본 논문에서는 대사증후군 환자를 대상으로 생활습관 정보 수집을 위한 병원의 설문지를 앱을 기반으로 개발하여 수집하고 스마트 폰과 밴드와 같은 웨어러블 디바이스를 이용하여 실시간 활동정보를 수집하여 환자 생활 습관에 따른 맞춤 별 예방정보를 제공하는 시스템을 제안하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.515-517
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• 2016

In this paper, we develope a stretchable wearable device containing services for processing physiological signals to extract emotion information. The emotion extracting algorithm conducts to recognize emotion from EDR, SKT, and HRV signals measured with the fabric sensors. In addition, the suggested wearable device can also solve the problems faced with today's many other wearable devices: 1) limited battery life 2) the lack of compatibility and expandability due to run on internal components designed for smart phone 3) the design has always been a crucial factor in determining the success of main stream consumer wearable devices.

• Smart Media Journal
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• v.5 no.4
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• pp.124-130
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• 2016

Big data technologies are increasing the need for big data in many areas of the world. Recently, the health care industry has become increasingly aware of the importance of disease and health care services, as it has become increasingly immune to prevention and health care. To do this, we need a Big data system to collect and analyze the personal biometric data. In this paper, we design the biometric big data system using low cost wearable device. We collect basic biometric data, such as heart rate, step count and physical activity from Mi Band, and store the collected biometric data into MongoDB. Based on the results of this study, it is possible to build a big data system that can be used in actual medical environment by using Hadoop etc. and to use it in real medical service in connection with various wearable devices for medical information.