• Convergence Security Journal
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• v.24 no.2
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• pp.55-61
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• 2024

With the development of IoT technology, wearable services have also developed rapidly. Wearable devices required for this service are used as sensors and controllers in the form of smart bands. Wearable devices implement very concise SWlogic for possible long-term use and use wireless communication protocols to improve convenience. However, because this wearable device aims to be lightweight, it is more vulnerable to security than terminals used for other information services. Many smart healthcare or smart medical services are passive or do not apply security technology. By exploiting this security environment, attackers can obtain or modify important information through access to wearable devices. In this study, we analyzed the technical operating environment of wearable services and identified authentication information reuse attacks, BIAS attacks, battery drain attacks and firmware attacks on wearable devices. And we analyzed the mechanism of each security threat and confirmed the attack effect. In this study, we presented a response plan to respond to the identified security threats. When developing wearable services, it is expected that safer services can be built if the response plan proposed in this study is considered.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.181-182
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• 2017

관성 센서 기반 행위인지는 스마트폰과 웨어러블 밴드 등의 출현으로 보다 간편한 방법으로 행위인지가 가능해졌다. 현재 대부분의 행위인지 서비스나 연구들은 단일 행위의 결론만을 도출하고 있으나, 이러한 방식은 한 행위에서 한 가지 동작밖에 취할 수 없는 경우에는 문제가 없지만 두 가지 이상의 동작이 합쳐진 경우에 어떤 행위를 최종 결론으로 도출해야 하는지에 대한 문제점을 내포한다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 세 개의 센서 기기 (스마트폰, 스마트워치, 웨어러블 센서)를 이용한 멀티 레이블 행위인지를 제안한다. 스마트폰은 신체 전반적인 움직임 탐지를 위하여 소지위치가 정해지지 않은 비고정식 센서의 보조적인 역할을 수행한다. 스마트워치는 사용자가 주로 사용하는 손의 손목, 그리고 웨어러블 센서는 사용자의 허벅지에 부착되어 각각 상하체의 움직임을 파악한다. 이후 각 기기에서 도출된 결론에 Majority Weighted Voting 기법을 적용하여 단일 혹은 멀티 레이블의 최종 행위를 도출한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.99-105
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• 2017

With the advancement of Information and Communication Technology (ICT), the wearable-device industry is growing at a rapid pace in line with the hyper-connected society of people-to-things and things-to-things network connections. International Data Corporation (IDC), a market research institute, estimates that the wearable-device industry will grow rapidly by 2020, despite not yet attracting a popular response. This study investigates the trend of the wearable-device industry and draws implications for product and service development through user experience analysis. The subject of analysis was smart bands and the data generated from product review were collected and analyzed. As a result, user experience could extract utility, usability, aesthetics, value, and reliability, and polarity was analysed and visualized in the extracted data. The study results reveal that current wearable-devices are expensive, that users cannot receive useful information from the long-term viewpoint since the analysis of accumulated data remains focused on functional development, and that they are recognized as a fashion item or an accessory. These factors hinder the continuous usage, motivation and market spread of the product. In a future follow-up study, we will conduct a comparative study on bands and watches by analyzing the second smart watch.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.115-123
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• 2024

In this paper, we propose a vibration notification system that combines navigation information and wearable bands to ensure safe driving for the transportation vulnerable. This system transmits navigation driving information to a linked application, converts it into a vibration signal, and provides notifications through a wearable band. Existing navigation systems focus on providing route guidance and location information, so the driver's concentration is dispersed, and safety and convenience are deteriorated, especially for those with mobility impairments, due to standard vision and delayed recognition of stimuli, resulting in an increasingly high traffic accident rate. To solve this problem, navigation driving information is converted into vibration signals through a linked application, and vibration notifications for events, left turns, right turns, and speeding are provided through a wearable band to ensure driver safety and convenience. In the future, we will use cameras and vehicle sensors to increase awareness of safety inside and outside the vehicle by adding a function that provides notifications with vibration and LED when the vehicle approaches or recognizes an object, and we will continue to conduct research to build a safer driving environment. plan.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.181-190
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• 2020

The purpose of this study is to analyze the trends of wearable keywords using text mining methodology. To this end, 11,952 newspaper articles were collected from 1992 to 2019, and frequency analysis and bi-gram analysis were applied. The frequency analysis showed that Samsung Electronics, LG Electronics, and Apple were extracted as the highest frequency words, and smart watches and smart bands continued to emerge as higher frequency in terms of devices. As a result of the analysis of the bi-gram, it was confirmed that the sequence of two adjacent words such as world-first and world-largest appeared continuously, and related new bi-gram words were derived whenever issues or events occurred. This trend of wearable keywords will be useful for understanding the wearable trend and future direction.

• Journal of Platform Technology
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• v.8 no.4
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• pp.20-28
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• 2020

In this paper, a voice, object, and optical character recognition platform including voice recognition-based smart wearable devices, smart devices, and web AI servers was proposed as an appropriate technology to help the visually impaired to live independently by learning the life cycle of the visually impaired in advance. The wearable device for the visually impaired was designed and manufactured with a reverse neckband structure to increase the convenience of wearing and the efficiency of object recognition. And the high-sensitivity small microphone and speaker attached to the wearable device was configured to support the voice recognition interface function consisting of the app of the smart device linked to the wearable device. From experimental results, the voice, object, and optical character recognition service used open source and Google APIs in the web AI server, and it was confirmed that the accuracy of voice, object and optical character recognition of the service platform achieved an average of 90% or more.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.146-149
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• 2008

유비쿼터스 컴퓨팅 시대가 도래함에 따라 크고 작은 수많은 컴퓨팅 장치들이 집, 사무실, 자동차 등 도처에서 지원되고 있으며, 손목시계형, 목걸이형 등 소형 액세서리 웨어러블 컴퓨터도 다수 출현하여 사용자에게 보다 편리하게 정보를 제공하고자 하는 연구들이 진행되고 있다. 웨어러블 컴퓨팅 장치는 사용자를 위해 정보를 제공하는 입력 장치로도 사용되고 있으나, 정보를 표현하고 제공하는 좋은 출력 장치이기도 하다. 본 논문에서는 다수의 입출력 장치들과 연동하여 다중 피드백을 효과적으로 지원할 수 있는 피드백 인터페이스 프레임워크를 제안하고, 손목밴드형 시스템에서 구현한 결과에 대해 논의한다.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.113-121
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• 2020

With the rapid development of information and communication technology (ICT), various sensors are being embedded in wearable devices. Consequently, these devices can continuously collect data including health data from individuals. The collected health data can be used not only for healthcare services but also for analyzing an individual's lifestyle by combining with other external data. This helps in making an individual's life more convenient and healthier. However, collecting health data may lead to privacy issues since the data is personal, and can reveal sensitive insights about the individual. Thus, in this paper, we present a method to collect an individual's health data from a smart band in a privacy-preserving manner. We leverage the local differential privacy to achieve our goal. Additionally, we propose a way to find feature points from health data. This allows for an effective trade-off between the degree of privacy and accuracy. We carry out experiments to demonstrate the effectiveness of our proposed approach and the results show that, with the proposed method, the error rate can be reduced upto 77%.