• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.620-621
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• 2013

본 논문에서는 스마트기기의 영상, 음성, 이미지 등의 다양한 멀티미디어 데이터 수집 기능을 활용하여 응급상황 발생 시 현장상황의 정확한 정보를 유관기관에 제공함으로써 효율적인 응급상황 대처가 가능하고, 신고자 인증 모듈을 활용하여 허위신고 문제를 개선한 응급상황 대처를 위한 스마트 세이프티 시스템을 설계하였다.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.127-133
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• 2022

This study aims to find out the associative relationship between dementia and comorbidities. To conduct this study, we used KNHDIS(Korea National Hospital Discharge In-depth Injury Survey) data from 2009 to 2018 provided by the KDCA(Korean Disease Control and Prevention Agency) annually. We used MySQL for data preprocessing and R for data analysis. As a result of applying the Apriori algorithm criteria of support(≥0.01), confidence(≥ 0.6), and lift(>1), seventeen rules related to dementia were discovered. The diseases associated with dementia were diabetes mellitus, hypertension, disorders of lipoprotein metabolism, glomerular disorders in diabetes mellitus, renal diseases, cardiovascular disease, cerebrovascular disease, and other urinary system disorders. This study can be utilized as primary data for the care of patients with dementia and provides implications for improving effective dementia prevention policies.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.27 no.4
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• pp.196-205
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• 2017

In recent years, the service design in the medical sector evolves through practical service research and development that can visualize both intangible and intangible service elements in an integrative way and derive innovative solutions to help customers feel the service more important value. With the improvement of personal income, interest in medical welfare and well-being is increasing day by day, and the focus of the medical sector shifts from the concept of treatment of diseases and illness to preventive medicine. In response to this trend, research and development of home health care system, which greatly reduces the time and space constraint of health checkup and health care by combining ubiquitous concept with medical welfare, are being actively conducted, and the needs for improving products and medical environment based on user-centered medical service and user needs in accordance with the Health Care 3.0 Era, it becomes necessary to develop on-site medical diagnostic products that reflect user-centered needs and needs. This study is intended to research and develop a product that sufficiently reflects the needs of users by applying suitable materials and shape for on-site diagnostic product in researching and developing Wireless X-ray Detector.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.462-474
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• 2018

The development of bio-sensing technology made it easy to collect various biometric information that was only available in large medical devices. The miniaturization of sensors makes it simple to carry out various health checkups that It did in person to the hospital by improving the portability of diagnostic devices. It is able to combine sensors into portable devices such as Smartphones, apply advanced Internet of Things (IOT) technology, and create new form factors for medical devices such as ultra-small modules that can be inserted or attached to their bodies. The results can be checked immediately through portable information devices such as smart phones. Although commercialization is still slow in Korea, new technologies are being applied in various ways in countries such as the United States that have granted remote medical services. Medical demand, supply and cost in South Korea are growing ahead of a super-aged society. Under these circumstances, attention is focusing on whether smart healthcare, a new concept, can complement the existing medical system. This study identifies the technology trends associated with smart health care and categorizes various healthcare products in the UX design aspects. In addition, the UX design approach and guidelines for applying smart healthcare technologies to the elderly, the intended users, are presented. This research will provide a reference to a new social issue, the UX-design approach to solving the problems of the aged society.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.25-32
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• 2022

In this paper, we propose a pet monitoring system based on deep learning using an activity recognition device. The system consists of a pet's activity recognition device, a pet owner's smart device, and a server. Accelerometer and gyroscope data were collected from an Arduino-based activity recognition device, and the number of steps was calculated. The collected data is pre-processed and the amount of activity is measured by recognizing the activity in five types (sitting, standing, lying, walking, running) through a deep learning model that hybridizes CNN and LSTM. Finally, monitoring of changes in the activity, such as daily and weekly briefing charts, is provided on the pet owner's smart device. As a result of the performance evaluation, it was confirmed that specific activity recognition and activity measurement of pets were possible. Abnormal behavior detection of pets and expansion of health care services can be expected through data accumulation in the future.

• International journal of advanced smart convergence
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• v.2 no.2
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• pp.40-42
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• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.155-161
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• 2008

An automated healthcare monitoring is demand of time, lot of problems occurring just because of less monitoring of patients health condition on time. In this paper an embedded healthcare service is proposed by an iSCSI protocol on an automated multi-agent coordination by resource-constrained devices controlled system for healthcare service. The coordination between the resource constrained devices (e.g. PDA, SmartPhone, Tablet PC), and automated agents are maintained by a two-way handshaking mode iSCSI protocol. The automated health care control could be useable, and beneficial in the repetitive way. A fully centralized control is not applicable for this kind of approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2377-2397
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• 2020

Human activity recognition is widely used in smart homes, health care and indoor monitor. Traditional approaches all need hardware installation or wearable sensors, which incurs additional costs and imposes many restrictions on usage. Therefore, this paper presents a novel device-free activities recognition system based on the advanced wireless technologies. The fine-grained information channel state information (CSI) in the wireless channel is employed as the indicator of human activities. To improve accuracy, both amplitude and phase information of CSI are extracted and shaped into feature vectors for activities recognition. In addition, we discuss the classification accuracy of different features and select the most stable features for feature matrix. Our experimental evaluation in two laboratories of different size demonstrates that the proposed scheme can achieve an average accuracy over 95% and 90% in different scenarios.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2349-2354
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• 2006

Due to technological developments and the joint effect of both new social and economic needs and constraints, telemedicine is expanding rapidly through a variety of applications. Especially, owing to the rapid aging of society and increasing the wish for well being life, we take interest in health care services for people with special needs who wish to remain independent and living in their own home. We have focused on tole-monitoring to real-time medical signal and environment factor which is an influence on medical signal. We monitor the six signal(medical signal and environment factor), and transmit that signal to computer on bluetooth network. We get the information after using the some digital signal processing system, and display that information on the real-time monitoring system. We developed the measurer as portable type in older to non-restrained monitor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.686-697
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• 2017

Rapid growth in mobile communication and the proliferation of smart devices have drawn significant utilization of machine generated data. Behavior tracking technology now are utilized in the various fields based on extracting data using the sensor and device. We deploy IoT based behavioral intervention system in Suwon mental health center to improve the effectiveness of non-medicine care for senior people. Using smart activity trackers and BLE scanner devices, we proposed a location-based behavioral intervention system and verify the integrity of the harvested data.