• 융합신호처리학회논문지
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• 제22권1호
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• pp.20-29
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• 2021

본 연구는 해양레저에서 필요로 하는 정보를 제공해 주는 디바이스의 필요성에 의해서 스마트워치와 풍향풍속계를 개발하였다. 멀티센서를 부착한 해양레저용 스마트워치, 자이로 박스와 풍향풍속계를 기반으로 하여 GPS, 모션, 습도, 온도, 기압, 그리고 심박수 등의 외부 데이터를 수집할 수 있도록 하였다. 그리고 수집된 외부 환경 데이터는 안드로이드 기반의 휴대기기인 스마트폰에서 애플리케이션을 통해 관리할 수 있도록 하였다. 개발된 스마트워치 및 풍향풍속계는 해양 레저 산업의 접근성 증대와 활성화에 기여할 것으로 판단되며 안전과 교육적인 측면에서 해양 정보를 제공해주는 디바이스의 필요성이 크기 때문에 고부가 가치 시장 진출 가능성을 높이고 제품 국산화율을 향상시킬 것으로 예상된다.

• Journal of Multimedia Information System
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• 제7권2호
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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.

• 한국콘텐츠학회논문지
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• 제15권9호
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• pp.37-46
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• 2015

오늘날 웨어러블 디바이스가 각광을 받으면서, 스마트 워치는 웨어러블 시장을 이끌어갈 디바이스로 주목받고 있다. 하지만 이러한 스마트워치는 많은 기업의 투자와 소비자의 관심에도 불구하고 스마트폰을 보조하는 도구에 불과하다는 인식을 받고 있다. 따라서 본 연구에서는 스마트워치가 폭발적인 성장세를 보이지 못하는 이유 중 스마트워치의 작은 화면이 주는 불편함에 초점을 맞추어 연구를 진행하고자 한다. 먼저 스마트 워치의 작은 화면을 극복하기 위해 필요한 이론적 배경에 대해 스마트 기기연동, 프로젝터 기술, 플렉서블 디스플레이 3가지로 나누어 사용자의 실효성 측면에서 제시하였다. 그 후 이론적 배경을 토대로 스마트워치가 나아가야 할 방향에 대해서 크게 2가지로 나누어 설명하고 있다. 먼저 '디스플레이'에 관해서 경계 없는 디스플레이와 사물 디스플레이를 제시하고 있으며, '인터랙션' 방법에 관하여 인터랙션 방법의 진화, 2가지 인터랙션의 결합 방법, 인터랙션 디자인의 변화를 제시하고 있다. 본 연구가 제시한 방법은 미래에 스마트워치가 웨어러블 시장에서 주요 상품으로 자리 매김하는데 도움이 될 것이다.

• 제어로봇시스템학회논문지
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• 제21권6호
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• pp.547-552
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• 2015

In this paper, an ARS-EKF based motion counting algorithm for repetitive exercises such as calisthenics is proposed using a smartwatch. Raw sensor signals from accelerometers and gyroscopes are widely used for conventional smartwatch counting algorithms based on pattern recognition. However, generated features from raw data are not intuitive to reflect the movement of motions. The proposed motion counter algorithm is composed of navigation based feature generation and counting with error correction. The candidate features for each activity are velocity and attitude calculated through an ARS-EKF algorithm. In order to select those features which reveal the characteristics of each motion, an exercise frame from the initial sensor frame is introduced. Counting processes are basically based on the zero crossing method, and misdetected counts are eliminated via simple classification algorithms considering the frequency of the counted motions. Experimental results show that the proposed algorithm efficiently and accurately counts the number of exercises.

• 근관절건강학회지
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• 제29권1호
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• pp.50-59
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• 2022

Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medication monitoring using an artificial intelligence-based smartwatch. Methods: Giorgi's descriptive phenomenological methodology was applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruited by convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference and telephone calls or face-to-face visits. Results: Ten sub-themes and four themes were finally revealed. The four themes were as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and content for patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient's health conditions. Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursing interventions were needed to identify personal needs and consider technological, psychological, aesthetic, and socioeconomic aspects of wearable devices.

• Asia pacific journal of information systems
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• 제30권3호
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• pp.636-663
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• 2020

Smartwatch, one of the popular forms of wearable gadget and a converging point of information technology innovation and fashion, is gaining much acceptance in countries belonging to the Asia-Pacific region. However, little is known about factors affecting consumers' intention to use smartwatches in Bangladesh. Therefore, this study explores factors driving Bangladeshi consumers' intention to use smartwatches and expands the general understanding of the emerging Asia-Pacific region's market. The study extends the conventional Technology Acceptance Model (TAM) by incorporating perceived enjoyment, aesthetic appeal, healthology, and two fashion-related factors, such as fashion innovativeness and fashion involvement. Data representing 300 respondents were analyzed using the structural equation model (SEM). The results reveal that, among other predictors, attitude toward using has the strongest direct effect on behavioral intention to use smartwatches. Moreover, attitude toward using smartwatches is significantly influenced by perceived enjoyment, perceived usefulness, perceived ease of use, fashion innovativeness, and fashion involvement. The study further discusses some interesting theoretical contributions that would be important insights for future studies. The empirical findings of this study would benefit the manufacturers and marketers who are trying to enter or penetrate the market in the Asia-pacific region.

• International Journal of Contents
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• 제14권3호
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• pp.32-38
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• 2018

This study examined the factors influencing the intention to use smartwatches using the integrated model of technology acceptance model (TAM) and innovation diffusion theory (IDT). An online survey was conducted and the data were analyzed using the structural equation modeling (SEM). The results showed that the research model had an acceptable fit, and all paths, except for the one from the perceived ease of use to the intention to use, were supported. Regarding paths from IDT to TAM, it was observed that higher the compatibility, the users perceived greater usefulness. Additionally, both observability and trialability influenced the perceived ease of use. However, perceived ease of use affected the intention only through the mediated effect of perceived usefulness. The implication of the study lies on the major focus on the effects of users' perceptions regarding innovative characteristics of smartwatches on the intention to adopt and attempted to increase the explanatory power of the TAM and IDT by combining both.

• International Journal of Advanced Culture Technology
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• 제8권2호
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• pp.129-138
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• 2020

Recently the wearable technologies market has diversified to the point where even the leading fashion brands have adopted prototypes. For this reason, consumer- and fashion-centric perspectives on the consumption of wearable technologies are needed for a better understanding of the market. The author tests the effect of design aesthetics of a fictitious smartwatch (i.e., the wearable technology) as a key factor of non-functional hedonic consumption on consumer-perceived product value. The results of an online survey of 233 U.S. shoppers indicate a strong, positive effect of design aesthetics on both the perceived utilitarian and hedonic values of wearable technologies. Furthermore, the hypothesized moderation of gender is statistically confirmed in the mechanism of design aesthetics toward perceived utilitarian value, but gender is found to not moderate the effect of design aesthetics for the smartwatch on hedonic value. Male shoppers are found to be more positively influenced by perceived design aesthetics. Theoretical and managerial implications and study limitations are further discussed.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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• pp.285-286
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• 2016

광고, 게임, 로봇 등 다양한 분야에서 사람의 감정을 이용한 서비스가 늘어나면서 감정 인식에 관한 연구가 활발히 진행되어 왔다. 본 논문에서는 스마트폰의 센서에서 얻어진 사용자 상황정보와 스마트시계의 심박 수 측 정 데이터를 통해 사용자의 감정을 예측하는 모델을 제안한다. 해당 모델을 생성하기 위해서 스마트폰에서 사용 자 상황정보를 수집한다. 스마트시계에서는 기분이 부정적인지 혹은 긍정적인지를 판단하기 위해 심박 수를 측정 한다. 이러한 수집된 정보를 기계 학습 알고리즘을 사용하여 감정 예측 모델을 생성하고, 이 모델을 통해 사용자 의 감정을 예측한다.

• 한국컴퓨터정보학회논문지
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• 제24권9호
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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.