• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.653-654
• /
• 2022

본 논문은 독거노인의 생활터전인 주택 내 생존활동과 안전사고 예방을 위하여 인체감지(PIR센서)와 생활에 적합한 온/습도 점검 및 화재와 가스 유출 같은 위험 요소 등을 다양한 센서와 모니터링 시스템을 통해 안전 상태를 모니터링 하고 응급상황 시 신속하게 대처하는 시스템이며 IoT Device는 Arduino를 사용하였고, Arduino에서는 데이터를 수집하고 WIFI를 통해 수신한다. 수신 받은 데이터를 Cloud를 통해 Raspberry Pi에 구축한 데이터베이스에 저장하고 모니터링 시스템인 모바일 앱을 통해 사용자에게 수집한 데이터를 시각화하여 출력하도록 설계하였다

• The KIPS Transactions:PartD
• /
• v.18D no.2
• /
• pp.143-148
• /
• 2011

In this paper developed a wearable activity device and algorithm which can be converted into the real-time activity and monitoring by acquiring sensor row data to be occurred when a person is walking by using a tri-axial accelerometer. Test was proceeded at various step speeds such as slow walking, walking, fast walking, slow running, running and fast running, etc. for 36 minutes in accordance with the test protocol after wearing a metabolic test system(K4B2), Actical and the device developed in this study at the treadmill with 59 participants of subjects as its target. To measure the activity of human body, a regression equation estimating the Energy Expenditure(EE) was drawn by using data output from the accelerometer and information on subjects. As a result of experiment, the recognition rate of algorithm being proposed was shown the activity conversion algorithm was enhanced by 1.61% better than the performance of Actical.

• Korean Journal of Applied Biomechanics
• /
• v.18 no.2
• /
• pp.59-64
• /
• 2008

D. W. KANG, J. S. CHOI, and G. R. TACK, A Study on Real-Time Sports Activity Classification & Monitoring Using a Tri-axial Accelerometer. Korean Jouranl of Sport Biomechanics, Vol. 18, No. 2, pp. 59-64, 2008. This study was conducted to study the real-time sports activity classification and monitoring using single waist mounted tri-axial accelerometer. This monitoring system detects events of sports activities such as walking, running, cycling, transitions between movements, resting and emergency event of falls. Accelerometer module was developed small and easily attachable on waist using wireless communication system which does not constrain sports activities. The sensor signal was transferred to PC and each movement pattern was classified using the developed algorithm in real-time environment. To evaluate proposed algorithm, experiment was performed with several sports activities such as walking, running, cycling movement for 100sec each and falls, transition movements(sit to stand, lie to stand, stand to sit, lie to sit, stand to lie and sit to lie) for 20 times each with 5 healthy subjects. The results showed that successful detection rate of the system for all activities was 95.4%. In this study, through sports activity monitoring. it was possible to classify accurate sports activities and to notify emergency event such as falls. For further study, the accurate energy consumption algorithm for each sports activity is under development.

• Therapeutic Science for Rehabilitation
• /
• v.11 no.3
• /
• pp.93-106
• /
• 2022

Objective : The COVID-19 pandemic has brought non-face-to-face healthcare service delivery system. Research into telehealth system and its efficacy remains unclear. Methods : Seven healthy adults participated in this study to investigate effects of tele-monitoring with the speech-to-text (STT) application to induce changes in occupational activities on occupational balance in healthy adults. Subjects were requested to choose occupational activities they wanted to have researched and then register them to the STT application. The STT application provided an alarm to check whether the pre-registered activities were performed on time, and whether the subjects performed it by their voice. The subjects were followed for 1 week, with assessments at baseline, and after 1-week's tele-monitoring. Results : Our findings showed that the subjects were willing to participate in tele-monitoring with the STT application with high adherence and satisfaction. In addition, there was a significant improvement in occupational activities related to health (p<.05). Specifically, adherence, satisfaction, and efficacy of the tele-monitoring with the STT application could successfully bring occupational balance in short-term periods. Conclusion : These findings highlight that tele-monitoring with a smartphone could be considered as one promising way to restore occupational balance in lockdown after the COVID-19 outbreak.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.7
• /
• pp.49-56
• /
• 2009

In this paper, we present a daily activity monitoring system by using a wireless sensor network. The proposed system is installed in glove for activity monitoring. The RFID reader, to send data by using sensor network platform and RFID tag are small size, the shape of quadrangle, and operate in the frequency of 13.56 MHz. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, and kitchenwares. The sensor node reads the data of RFID tags, it transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system. The data from each RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. We provide a web-based monitoring system, and can see the number of RFID tag readings per day as bar charts. The result of experiments demonstrates that the way we propose can help to check the situation of life for people who live alone.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.7-11
• /
• 2007

Recently, as grow of digital and internet, market is change consumer orientation from provider orientation. So, if firms detect and offer customer value to cope with this environment, they can expect to positive business performance. Because customer value affect on business performance, many firms are playing diverse marketing action to create customer value. For offer important value to customer, firms must monitering continuously on environment change and customer trend. So, The purpose of this paper is to analyze on customer value factors through customer monitering action.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2009.05a
• /
• pp.173-176
• /
• 2009

심박동 변동에 반영되는 자율신경계 활동으로부터 정신적 부하 즉 스트레스 상태를 평가할 수 있다. 또한 일상생활 중에서 지속적인 심전도 모니터링인 가능하다면 심장에 부하를 줄 수 있는 운동 중에도 사전에 급작스러운 심장 이상 증세를 예상할 수 있다. 본 연구에서는 일상생활 속에서도 생체신호 측정이 가능한 무구속, 무자각, 무침습적인 심전도 측정 시스템을 개발하였다. 무선 통신을 사용하여 실시간으로 심장 활동 상태를 모니터링 할 수 있으며, 가슴에 부착이 가능한 패치 타입의 소형 전극 형태이다. 신뢰도 평가를 위하여 임상 심전도 신호와 본 전극으로 측정한 심전도 신호의 유사도를 평가하였으며 동잡음의 영향을 평가한 결과 $0{\sim}6m/h$로 걷는 경우, 심전도 파형이 안정적으로 나타나 일상생환에서의 활용가능성을 보여주었다. 동일한 피험자를 대상으로 HRV에 반영되는 스트레스의 영향을 평가하기 위하여 패치형 전극으로 심전도를 측정하여 불안, 스트레스 항목에 대한 설문지 평가, 스트레스 호르몬양을 측정하였다. 일상 상태와 스트레스 상태를 비교한 결과, 많은 파라미터에서 유의한 차이가 나타났다. 이러한 결과로부터 패치형 전극은 일상생활에서 건강 모니터링 시스템으로 활용도가 높을 것으로 기대된다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.11
• /
• pp.3170-3175
• /
• 2009

In this paper, we developed u-Care service system using technologies of USN and LBS to help construct social welfare infrastructure and social safety net for lone seniors and handicapped people. This service not only monitors the in-house and outdoor activities of those disabled people but also sends the messages, whenever abnormal behaviors are detected, to the people related to them as well as the social welfare organizations and public safety institutions such as police and emergency services and etc in order to alert them.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.281-282
• /
• 2020

2019년 통계청의 보고에 의하면 1인 가구 수는 전체 가구 수 중 29.9퍼센트인 603만 9000가구로 600만 가구를 돌파하였고, 계속해서 상승 추세에 있다. 1인 가구 비율이 상승함에 따라 반려동물 사육 가정의 비율 또한 상승하고 있다. 본 논문에서는 반려동물을 사육하는 1인 가구를 위해 반려동물의 생체데이터, 활동량 등을 웨어러블 기기를 통해 측정하고, 센싱된 데이터를 원격으로 모니터링할 수 시스템을 제안한다. 아두이노를 이용하여 반려동물의 온도 등의 생체데이터와 활동량 체크를 위한 가속도 센서 데이터를 측정하고 와이파이 통신을 이용하여 데이터베이스 서버로 전송하는 기기를 구성하고, 센싱된 데이터를 사용자가 다운받아서 데이터를 분석, 모니터링할 수 있는 모바일 앱 인터페이스를 제공한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.05a
• /
• pp.995-996
• /
• 2013

본 연구에서는 스마트폰을 이용하여 사용자의 활동상태를 추정할 수 있는 안드로이드 기반의 어플리케이션을 구현하였다. 이는 추가적인 센서를 사용하지 않고 항시 휴대하는 스마트폰을 이용함으로써 착용형의 시스템과 비교하여 사용자의 불편함을 최소화하여 활동상태를 추정할 수 있다. 이를 위하여 스마트폰 내부에 내장된 3축가속도센서 각 축의 변화량을 추출하였으며, 각 축에 대한 변화량과 활동량이 비례하여 나타나는 것을 이용하여, 변화량을 크기로 변환하는 SVM(Single Vector Magnitude)을 계산하였다. 또한 SVM의 절대값을 시간에 적분한 ISVM(Integral Single Vector Magnitude)을 통해 활동량을 정량화 하였으며, 천천히 걷기와 빠르게 걷기, 뛰기, 서있기로 이루어진 실험을 통해 활통상태 분류를 하였다. 또한 그 결과를 실시간으로 모니터링하기 위한 스마트폰 어플리케이션을 구현함으로써 추가적인 설비 없이 활동상태를 추정하였다.