• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.365-366
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• 2023

메타버스는 점차 빠른 속도로 발전되며 응용 분야가 확대되고 있다. 스포츠 분야에서 다양한 메타버스 시도가 이루어지고 있으며, 축구, 야구, 농구 등 인기 종목에 대한 메타버스 구축 및 운영이 이루어지고 있다. 그러나 사용자의 새로운 경험을 이끌어 내기보다, 오프라인 대체 수단으로 활용되고 있다. 본 연구에서는 웨어러블 디바이스를 통해 사용자 생체 정보를 수집하여 메타버스에 적용 가능한 데이터로 가공하는 과정에 대한 연구내용을 기술한다.

• 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.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.982-990
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• 2018

In recent years, many wearable devices and mobile apps related to life care have been developed, and a service for measuring the movement during walking and showing the amount of exercise has been provided. However, they do not measure walking in detail, so there may be errors in the total calorie consumption. If the user's behavior is measured by a multi-axis sensor and learned by a machine learning algorithm to recognize the kind of behavior, the detailed operation of walking can be autonomously distinguished and the total calorie consumption can be calculated more than the conventional method. In order to verify this, we measured activities and created a model using a machine learning algorithm. As a result of the comparison experiment, it was confirmed that the average accuracy was 12.5% or more higher than that of the conventional method. Also, in the measurement of the momentum, the calorie consumption accuracy is more than 49.53% than that of the conventional method. If the activity recognition is performed using the wearable device and the machine learning algorithm, the accuracy can be improved and the energy consumption calculation accuracy can be improved.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.129-143
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• 2020

The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, facilitating condition, hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovativeness. The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology). In specific, performance expectancy, effort expectancy, facilitating condition, hedonic motivation and price value of UTAUT2 and innovativeness are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. According to the empirical analysis results, this study confirms that Innovativeness have significant effects on the performance expectancy, effort expectancy, Facilitating condition, Hedonic motivation, and price Value of wearable healthcare devices. It also finds that the performance expectancy, effort expectancy, Facilitating condition, hedonic motivation, and price value affects the intention to use wearable healthcare devices.

• Journal of the Semiconductor & Display Technology
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• v.12 no.1
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• pp.61-65
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• 2013

We investigated the wearable dynamics of diamond spherical abrasive during the substrate surface polishing under the pad compression via classical molecular dynamics modeling. We performed three-dimensional molecular dynamics simulations using the Morse potential functions for the copper substrate and the Tersoff potential function for the diamond abrasive. The pad hardness had a big impact on the wearable dynamics of the abrasive. The moving speed of the abrasive decreased with increasing hardness of the pad. As the hardness decreased, the abrasive was indented into the pad and then the sliding motion of the abrasive was increased. So the pad hardness was greatly influenced on the slide-to-roll ratio as well as the wearable rate.

• Elastomers and Composites
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• v.53 no.4
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• pp.226-233
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• 2018

Elastomers based on the thermoplastics are widely used in rubber industries. Thermoplastic elastomers have the advantages of an easy shaping process and elimination of recycling problems. Thermoplastic polyester elastomer (TPE) is used for making rubber bands in wearable devices and its applications are increasing. In this study, five wrist bands were designed and their mechanical behaviors were examined by computer simulation, using hyper elastic models, Mooney-Rivlin and Ogden models, and a linear elastic model. Simulation results were compared and discussed in terms of band design and material model.

• Journal of KIBIM
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• v.10 no.4
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• pp.60-69
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• 2020

Allowing on-site workers to access information of the construction process can enable task control, data integration, material and resource control. However, in the current practice of the construction industry, the existing methods and scope is quite limited, leading to inefficient management during the construction process. In this research, by adopting cutting edge technologies such as Augmented Reality(AR), digital twins, deep learning and computer vision with wearable AR devices, the authors proposed an AR visualization framework made of virtual components to help on-site workers to obtain information of the construction process with ease of use. Also, this paper investigates wearable AR devices and object detection algorithms, which are critical factors in the proposed framework, to test their suitability.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1400-1401
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• 2009

PDA, 노트북과 같은 무선 장비들은 가볍고 이동이 편리하기 때문에 널리 사용되고 있다. 하지만 이들 장비들은 그 편리성만큼 분실, 도난 등에 취약하다. 그리고, 각 무선 장비에는 사용자의 비밀번호와 같이 외부에 노출되어서는 안 되는 데이터가 포함되어 있을 수 있다. 기존에 이러한 문제를 보완하고자 프로토콜이 제시된 바 있다. 이들 기법은 사용자가 손목시계와 같이 항시 착용하는 작은 기기(Wearable Token)와 Bluetooth 와 같은 근거리 통신을 사용하여 사용자와 무선 장비가 떨어져 있을 시 다른 사람은 해당 기기를 사용할 수 없고, 데이터를 습득할 수 없도록 한다. 본 논문에서는 더 나아가 동일한 Wearable Token 의 통제를 받는 기기들간에 안전하게 인증하면서 통신할 수 있는 기법을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.326-330
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• 2012

In 2011, There were about 25,000 people died because of heart disease. The aim of this paper is to design a heart attack situation monitoring and spreading system for patients. Wearable computer with a sensor is used to monitor heart rate. Heart rate is transffered to smartphone with bluetooth. After analyzing heart rate, smartphone spread out the emergency situation by various service including emergency call, SNS and SMS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.257-258
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• 2017

본 논문에서는 청각 장애인들은 시각에 의존하지 않고는 소리를 인지할 수 없다는 문제를 해결하기 위해 사운드를 시각화하는 웨어러블 시스템을 구현하였다. 시스템의 음성 인식 센서가 음성을 인식해 웨어러블 디스플레이에 전송된 메시지를 확인하고, 기상 재난 메시지를 웨어러블에서 실시간으로 확인하여 안전사고를 예방할 수 있게 하여 청각장애인의 어려움을 해결하였다.