• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2124-2127
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• 2003

This paper suggests user interface method with wearable computer by means of detecting gaze under HMD, head mounted display, environment. System is derived as follows; firstly, calibrate a camera in HMD, which determines geometrical relationship between monitor and captured image. Second, detect the center of pupil using ellipse fitting algorithm and represent a gazing position on the computer screen. If user blinks or stares at a certain position for a while, message is sent to wearable computer. Experimental results show ellipse fitting is robust against glint effects, and detecting error was 6.5％, and 4.25％ in vertical and horizontal direction, respectively.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.107-114
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• 2020

This paper proposes a wearable audio book application using two wearable devices, a smartwatch and a hearables. We review requirements of what could be a killer wearable application and design our application based on these elicited requirements. To distinguish our application, we present 7 scenarios and introduce several wearable interaction modalities. To show feasibility of our approach, we design and implement our proof-of-concept prototype on Android emulator as well as on a commercial smartwatch. We thoroughly address how different interaction modalities are designed and implemented in the Android platform. Lastly, we show latency of the multi-modal and alternative interaction modalities that can be gracefully handled in wearable audio application use cases.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.125-130
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• 2014

According to the lunching of Google glass, the interest for wearable computer is increasing. This paper is about how to apply humanity or humanist metaphor to the development and application of wearable computer. Humanity is consisted of dream, imagination and desire of human mind. However the software development methodology and application design of engineering part are consisted of the logical language and also they are testable. In this paper the different academics are combined and researched to develop the human-friendly application which are the design of humanities-applying wearable computer and the service scenarios. This paper shows the specific examples of services to search, share and analyze the information with wearable computer also presents what kinds of humanistic metaphor is able to apply in this process.

• Journal of Korea Multimedia Society
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• v.15 no.10
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• pp.1228-1235
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• 2012

In this Paper, we propose an energy efficient localization technique based on WUSB (Wireless USB) over WBAN (Wireless Body Area Networks) protocol required for Wearable Computer systems. For this purpose, the proposed localization algorithm minimizes power consumption and estimates location without range information. It is executed independently on the basis of WUSB over WBAN protocol at each sensor node comprising peripherals of a wearable computer system. And it minimizes power consumption by estimating locations of sensor nodes with range-free method fast.

• Journal of Korea Multimedia Society
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• v.15 no.7
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• pp.879-884
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• 2012

In this Paper, we propose an Energy Efficient Time Synchronization technique based on WUSB (Wireless USB) over WBAN (Wireless Body Area Networks) protocol required for Wearable Computer systems. For this purpose, the proposed Time Synchronization algorithm minimizes power consumption and estimates time information with accuracy. It is executed on the basis of WUSB over WBAN protocol at each sensor node comprising peripherals of a wearable computer system. It minimizes power consumption by exchanging time stamp packets and forming a hierarchical structure.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.43-49
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• 2019

Today, with the development of the internet of things, wearable devices related to personal health care have become widespread. Various global information and communication technology companies are developing various wearable health devices, which can collect personal health information such as heart rate, steps, and calories, using sensors built into the device. However, since individual health data includes sensitive information, the collection of irrelevant health data can lead to personal privacy issue. Therefore, there is a growing need to develop technology for collecting sensitive health data from wearable health devices, while preserving privacy. In recent years, local differential privacy (LDP), which enables sensitive data collection while preserving privacy, has attracted much attention. In this paper, we develop a technology for collecting vast amount of health data from a smartwatch device, which is one of popular wearable health devices, using local difference privacy. Experiment results with real data show that the proposed method is able to effectively collect sensitive health data from smartwatch users, while preserving privacy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.419-420
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• 2017

착용센서가 스포츠, 복지, 건강 등 다양한 분야에서 널리 연구되고 있다. 착용센서 시스템은 일반적으로 데이터획득, 데이터전처리, 특징값 추출 그리고 분석 단계로 구성된다. 본 연구는 착용센서 시스템 각 단계별 연구 현황과 착용센서 활용 연구현황을 살펴본다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.31-34
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• 2022

본 논문에서는 손목 부착형 웨어러블(Wearable) RGB 카메라를 통해 취득한 손 이미지에 최적화된 손 자세 추정모델과 학습방법을 제안한다. 최근 의료분야에서 활발하게 인공지능이 사용되고 있으며 그 중 이미지 인식을 중심으로 하는 진단 분야[1]가 괄목할만한 성과를 보인다. 본 연구에서는 웨어러블 카메라를 통해 얻은 손 자세를 활용하여 질병 진단에 적용할 계획이다. 또한, 본 연구수행을 통해 질병진단에 필요한 데이터 측정비용 절감 및 개인 맞춤형 진단서비스를 제공할 것으로 기대된다.

• Journal of Integrative Natural Science
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• v.12 no.1
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• pp.9-13
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• 2019

Recently, as the sleep disorder problem of modern people deepens, the interest towards quality of sleep is increasing. To increase the quality of modern people's sleep. This paper has suggested an LED lighting control system according to the sleep stage using PPG sensors of wearable devices. The pulse of the wrist radial artery was measured using a wearable device mounted with PPG sensor, which enables heart rate-measuring, and by using the point that heart rate lowers during stable sleep than non-sleeping, the LED lighting of indoors was controlled, which is the disturbing element when sleeping. For the performance evaluation, a 10-Fold cross analysis was conducted for performance evaluation, and a result of an average accuracy 87.02% was obtained as a result. Therefore, the LED lighting control system according to the sleep stage using a wearable device of this paper is expected to contribute to raise the quality of the user's life.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.159-172
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• 2024

The number of healthcare products available for pets has increased in recent times, which has prompted active research into wearable devices for pets. However, the data collected through such devices are limited by outliers and missing values owing to the anomalous and irregular characteristics of pets. Hence, we propose pet behavior recognition based on a hybrid one-dimensional convolutional neural network (CNN) and long short- term memory (LSTM) model using pet wearable devices. An Arduino-based pet wearable device was first fabricated to collect data for behavior recognition, where gyroscope and accelerometer values were collected using the device. Then, data augmentation was performed after replacing any missing values and outliers via preprocessing. At this time, the behaviors were classified into five types. To prevent bias from specific actions in the data augmentation, the number of datasets was compared and balanced, and CNN-LSTM-based deep learning was performed. The five subdivided behaviors and overall performance were then evaluated, and the overall accuracy of behavior recognition was found to be about 88.76%.