• 한국통신학회논문지
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• 제41권3호
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• pp.347-358
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• 2016

본 논문은 사용자의 행동을 실시간 인지하여 그 행동과 연동하여 생체 신호를 측정 할 수 있는 착용형 단말 소프트웨어 구조를 제안한다. 착용형 단말은 사용자가 일상생활 동안 항상 착용하고 있기 때문에 이러한 장치를 통하여 생체 신호를 측정하는 것은 사용자 행동과 관련된 건강 정보를 얻을 수 있게 해준다. 이 중 산소포화도와 심박수는 사용자가 운동을 하거나 수면을 취하는 동안 변화를 측정하면 호흡기 상태를 진단하는데 사용할 수 있다. 그러나 이런 생체 신호를 생활 중에 측정하는데 있어서 기존의 방법과 같이 연속적으로 측정하는 것은 움직임으로 인한 신호 왜곡 때문에 정확성을 떨어뜨리게 된다. 또 왜곡을 고치기 위해서 복잡한 알고리즘을 적용하는 것도 착용형 단말의 한정적인 자원을 고려하면 적절하지 않다. 따라서 본 논문에서는 연산이 간단한 필터와 가속도 센서를 이용하여 사용자 행동을 먼저 판단하고 그에 연동하여 정확한 생체신호를 측정할 수 있는 착용형 단말 소프트웨어 구조를 제안한다.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제8권4호
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• pp.93-102
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• 2019

웰니스에 대한 관심이 증대됨에 따라 개인의 건강상태를 웨어러블 디바이스로 모니터링하는 연구들이 늘어나고 있다. 이에 따라 웨어러블 디바이스에서 운동과 일상 활동을 구분하는 다양한 방법들이 연구되어 왔다. 이러한 기존 연구는 대부분 기계학습을 활용한 방식이다. 하지만 개인별 학습 데이터에 의존적인 과적합 문제와 연속적인 사건으로 구성되는 사람의 행동을 독립적으로 취급하여 인식 결과가 중간에 끊기고 오인행동이 생기는 문제가 있다. 이에 본 연구는 운동 시 심박이 오르내리는 생체반응 원리를 기반으로 한 운동 상태 검출 방법을 제안한다. 제안하는 방법은 3축 가속도 센서와 PPG 센서를 통해 활동강도 및 심박 수를 산출하여 심박 회복기를 판단한 후, 활동강도 검사 또는 심박 상승기 검사를 통해 운동 상태를 검출한다. 실험 결과에서 제안하는 알고리즘은 평균 정확도 98.64%, 정밀도 98.05%, 재현율 98.62%로 기존 알고리즘보다 개선된 모습을 보였다.

• 스마트미디어저널
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• 제13권5호
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• pp.19-25
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• 2024

발달장애인의 사회 진입을 막는 가장 큰 행동 유형은 공격 행동이다. 공격 행동은 발달장애인 자신의 안전뿐만 아니라 타인의 신체적 안전에도 위협이 될 수 있다. 본 연구에서는 저전력 프로세서를 활용한 웨어러블 시스템을 제안한다. 제안된 시스템은 IMU(Inertial Measurement Unit, 관성 측정 장치)가 적용되어, 사용자의 행동을 분석할 수 있으며, 개발된 시스템에 부착된 LED 배열을 통해 일정 시간 이상 공격 행동이 감지되지 않을 시, 흥미로운 LED 패턴을 표현하여 발달장애인에게 보상을 통한 행동 중재를 제공한다. 전원이 제한된 환경에서 장시간 착용해야 하는 시스템을 구현하기 위해 데이터의 전처리 과정부터 AI 모델 적용까지 전 단계에 걸쳐서 성능-에너지 소모 간 최적화 방법을 제시한다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2005년도 추계 종합학술대회 논문집
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• pp.264-268
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• 2005

본 논문에서는 유비쿼터스 컴퓨팅 기술의 여러응용 서비스에서 가장 핵심적인 요소 기술 중의 하나인 사용자의 상황인식시스템에 대하여 기술한다. 제안하는 시스템은 실험 대상자의 우측 상완에 착용하는 $SenseWear^{(R)}$ PRO2 Armband(BodyMedia사)에 내장된 2차원 가속도센서를 이용하여 데이터를 획득하고, 눕기, 앉기, 걷기, 뛰기 4단계 동작의 인체동작상태의 구분은 PC 기반의 퍼지추론 시스템으로 구현 하였다. 이를 이용하여 분석한 인체동작 인식률은 눕기, 앉기, 걷기 뛰기에 대하여 각각 100%, 98.64%, 99.27%, 100%로 나타났다.

• 패션비즈니스
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• 제5권1호
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• pp.97-116
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• 2001

Character fashion was already turned up in Egyptian age and nowadays was worn to everybody as regardless of ages, level and sex of people. This paper reviewed character fashion and animation character based on USA and Japan that is outstanding more coming up today and compared and analyzed with our country's situation. Usually, character fashion would give imagnation of products and companies themselves for aesthetic sense and can show possessive feeling and personality. And that mean fashion used by character like pictures and signals(that include words figures and special signals) and these fashion using by animation character was come out in 1929. In spite of third producer, Korea, back from USA and Japan about character fashion, we faced many problems. In order to solve these problems, we must make our own pure character that do not need to pay royalty and must spread marketing strategy with character fashion of more various designs. Therefore we should concentrate for raising high quality works and avoid uneconomic investment and plagiarism and finally we must expand recognition concerning character fashion.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.132-138
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• 2020

Worldwide, the number of corona virus disease 2019 (COVID-19) confirmed cases is rapidly increasing. Although vaccines and treatments for COVID-19 are being developed, the disease is unlikely to disappear completely. By attaching a smart sensor to the respirator worn by medical staff, Internet of Things (IoT) technology and artificial intelligence (AI) technology can be used to automatically detect the medical staff's infection symptoms. In the case of medical staff showing symptoms of the disease, appropriate medical treatment can be provided to protect the staff from the greater risk. In this study, we design and develop a system that detects cough, a typical symptom of respiratory infectious diseases, by applying IoT technology and artificial technology to respiratory protection. Because the cough sound is distorted within the respirator, it is difficult to guarantee accuracy in the AI model learned from the general cough sound. Therefore, coughing and non-coughing sounds were recorded using a sensor attached to a respirator, and AI models were trained and performance evaluated with this data. Mel-spectrogram conversion method was used to efficiently classify sound data, and the developed cough recognition system had a sensitivity of 95.12% and a specificity of 100%, and an overall accuracy of 97.94%.

• 한국정밀공학회지
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• 제11권1호
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• pp.138-149
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• 1994

This paper introduces a new monitoring technique which utilizes an adaptive signal processing for feature generation, coupled with a multilayered merual network for pattern recognition. The cutting force signal in face milling operation was modeled by a low order discrete autoregressive model, shere parameters were estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(recursive least square) method with discounted measurements. The influences of the adaptation algorithm parameters as well as some considerations for modeling on the estimation results are discussed. The sensitivity of the extimated model parameters to the tool state(new and worn tool)is presented, and the application of a multilayered neural network to tool state monitoring using the previously generated features is also demonstrated with a high success rate. The methodology turned out to be quite suitable for in-process tool wear monitoring in the sense that the model parameters are effective as tool state features in milling operation and that the classifier successfully maps the sensors data to correct output decision.

• 대한인간공학회지
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• 제34권5호
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• pp.541-548
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• 2015

Objective: We introduce a hand gesture segmentation method using a wrist-worn wearable device which can recognize simple gestures of clenching and unclenching ones' fist. Background: There are many types of smart watches and fitness bands in the markets. And most of them already adopt a gesture interaction to provide ease of use. However, there are many cases in which the malfunction is difficult to distinguish between the user's gesture commands and user's daily life motion. It is needed to develop a simple and clear gesture segmentation method to improve the gesture interaction performance. Method: At first, we defined the gestures of making a fist (start of gesture command) and opening one's fist (end of gesture command) as segmentation gestures to distinguish a gesture. The gestures of clenching and unclenching one's fist are simple and intuitive. And we also designed a single gesture consisting of a set of making a fist, a command gesture, and opening one's fist in order. To detect segmentation gestures at the bottom of the wrist, we used a wrist strap on which an array of infrared sensors (emitters and receivers) were mounted. When a user takes gestures of making a fist and opening one's a fist, this changes the shape of the bottom of the wrist, and simultaneously changes the reflected amount of the infrared light detected by the receiver sensor. Results: An experiment was conducted in order to evaluate gesture segmentation performance. 12 participants took part in the experiment: 10 males, and 2 females with an average age of 38. The recognition rates of the segmentation gestures, clenching and unclenching one's fist, are 99.58% and 100%, respectively. Conclusion: Through the experiment, we have evaluated gesture segmentation performance and its usability. The experimental results show a potential for our suggested segmentation method in the future. Application: The results of this study can be used to develop guidelines to prevent injury in auto workers at mission assembly plants.

• 복식
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• 제65권1호
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• pp.118-135
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• 2015

In recent years, smart clothing had been developed in order to better detect and monitor physical movement of the patient, so that such activities such as location identification and biometric recognition could be done. However, most of the sensing devices of smart clothing were limited to smart sensing sports clothing and the designs did not consider the physical characteristics and the behavior of the wearer. Therefore, this study aimed to create an open protection system by developing a wearable sensing device for health monitoring and location information. For this purpose, this study developed eleven types of wearable sensing design that could be commercially sold and worn by people who needed their biological information to be constantly monitored. The study conducted four tests in order to develop three types of sensing devices for various sensing wears. The purpose of this study was to expand the user rang of smart sensing wears, and provide a foundation for the development of distinctive wearable sensing devices reflecting the user. Furthermore, contribute to the design for the person subject to protection.

• 복식
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• 제60권2호
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• pp.130-143
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• 2010

Hanbok industry is not based on a consumer-oriented market system, which is related to poor competitiveness in various areas, such as product planning, marketing, and flow of raw materials. The purpose of this paper is to design and conduct an empirical study on important aspects of consumers. experiences and perspectives about Hanbok, and thereby aims to provide much-needed guidance about ways to promote the Hanbok market. Out of 1065 questionnaires distributed, a total of 1039 was returned with responses and used for analyses. The respondent sample included consumers of various background characteristics in their residential areas, age, gender, education levels, and income levels. Cronbach's alpha and a factor analysis were employed for the reliability and the construct validation of the survey instrument. One-way ANOVA associated with post-hoc comparison tests was used to investigate differences across different demographic subgroups of consumers. The results show that consumers generally view Hanbok as one of the formal dresses, worn one or two times per year for traditional events or ceremonies. Consumers tend to show negative opinions about the pricing, and the inconvenience in cleaning and wearing Hanbok. However, consumers think very highly of the aesthetic values, the gracious styles, and the iconic identity of nationalism of Hanbok. This study suggests that Hanbok for modern consumers should be considered as clothing for a ritual, rather than clothing to reconstruct to be fitted to modern daily lives. Hanbok should be promoted as part of up-scaled and differentiated traditional cultures, as clothing that represents and enhances the traditional elegance and beauty unique to the Korean people.