• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.423-424
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• 2019

인공지능 기술의 발전으로 딥러닝, 자연어처리 기술이 챗봇(채팅+로봇)에 적용되어 금융, 헬스케어, 여행, 방송 등의 분야를 중심으로 챗봇 시장이 확대되고 있다. 이러한 디지털 환경의 변화에 따라 전통문화 관련 개방 데이터를 활용한 전통문화 콘텐츠의 활성화 방안에 대해 살펴보고자 한다. 전통문화 소재는 영화, 드라마, 애니메이션 등의 소재로 활용 폭이 꾸준히 확대되고 있으나 현대적인 재창조의 폭넓은 대상이 되지는 못하고 있다. 팩트를 다루는 역사적 사실은 물론, 그 당시 살았던 사람들의 이야기 발굴에 대한 창작자들의 수요에 부응할 수 있는 체계적인 정보서비스로서의 전통문화 분야 인공지능(AI) 챗봇 서비스는 예비창작자와 일반인에게 창작의 유용한 가이드가 될 것으로 기대한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.4
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• pp.370-378
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• 2018

Recent advances in network infrastructures, sensors, and IoT devices have accelerated the research and development of monitoring and interaction technologies designed for people, buildings, and environments. In particular, there has been an increasing demand for monitoring technologies for vulnerable people such as the infirm, disabled, and children. In this paper, we propose an efficient hospital room management system based on IoT care robots. The status of hospital rooms can be monitored and controlled more efficiently and intuitively by utilizing IoT devices and a cloud platform. We demonstrated the feasibility of the proposed system through the implementation of a prototype based on ARTIK IoT devices and the ARTIK Cloud platform. We found that the proposed system requires approximately 600 ms and 130 ms to collect sensor data and respond to alerts, respectively, which demonstrates it can operate in real-time.

• Journal of Korean Academy of Nursing
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• v.45 no.3
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• pp.388-396
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• 2015

Purpose: The purpose of this study was to identify the effects on cognitive function, depression, and activities of daily living of Silver- Care-Robot Program for institutionalized elders. Methods: This study was a nonequivalent control group pretest-posttest design. The participants were 42 institutionalized elders (17 in the experimental group and 25 in the control group). The Silver-Care-Robot Program was provided as an intervention which was conducted twice a week for 5 weeks. The Silver-Care-Robot Program is an integrated entertainment program to help the mental, emotional, and physical health of elderly people. Pre-test was conducted on the two groups, and, in order to examine the effects of intervention, a post-test was conducted after 5 weeks. Results: There were significant differences in cognitive function and ADL (activities of daily living) between two groups after the program. But the difference in depression in the institutionalized elders was not statistically significant between the two groups. Conclusion: The Silver-Care-Robot Program should be considered as a regular program for cognitive function and activities of daily living for institutionalized elders.

• Journal of IKEEE
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• v.13 no.4
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• pp.43-46
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• 2009

This paper deals with feeling recognition from people's voice to fine feature vectors. Voice signals include the people's own information and but also people's feelings and fatigues. So, many researches are being progressed to fine the feelings from people's voice. In this paper, We analysis Selectable Mode Vocoder(SMV) that is one of the standard 3GPP2 codecs of ETSI. From the analyzed result, we propose voices features for recognizing feelings. And then, feeling recognition algorithm based on gaussian mixture model(GMM) is proposed. It uses feature vectors is suggested. We verify the performance of this algorithm from changing the mixture component.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.471-472
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• 2017

There are 3,931,822 elderly who receives long-term care at home and 1,704,469 elderly who stay at long-term care facilities in those of 34,610,000 of +65 years old population in Japan; thus, the elderly people who need home care are 2.3 times more than facilities (2016).In the near future, the number of elderly people with a degree of daily life independence and dementia category II or more will increase to 4.7 million (12.8% of the elderly population). Therefore, the use of home-care robots is essential for the disaster evacuation of the overwhelming majority of those elderly who need home care and for of vitals checks to keep family, caregivers, and medical professionals informed to reduce the risk in chronic health conditions in welfare evacuation centers. This also helps to care for the caregivers who are caring for the elderly, and the introduction of home-robots to evacuation centers should receive prompt attention from our care-friendly society.

• Prospectives of Industrial Chemistry
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• v.23 no.2
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• pp.40-50
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• 2020

소프트 로봇의 수요와 관심이 증가함에 따라 생체 모방형 액추에이터 연구가 큰 관심을 받고 있다. 액추에이터란 외부 에너지를 기계적인 동작으로 변환하는 장치이며, 재료 자체가 유연하여 부드러운 움직임을 재현할 수 있는 소프트 액추에이터의 연구가 활발히 진행되고 있다. 고분자 연성 재료 중에 하나인 하이드로겔은 90% 이상이 물로 구성되어 있기 때문에 생체 친화적이면서 동시에 환경 친화적인 재료이며 이를 기반으로 한 액추에이터 연구가 새로이 각광받고 있다. 최근에는 하이드로겔 액추에이터의 성능 향상을 위해 나노재료를 하이드로겔에 첨가하는 연구가 진행되고 있으며, 나노재료가 갖는 고유의 특성을 활용함으로써 하이드로겔 액추에이터의 자극 감응성 향상, 변형 방향의 제어, 높은 변형 효율 그리고 기계적 물성 증가가 보고되고 있다. 이는 헬스케어를 위한 웨어러블 장치, 재활을 목적으로 한 인공 근육 등에 적용이 가능하다. 본 기고문에서는 자극 감응성 고분자와 나노재료를 이용한 하이드로겔 액추에이터 연구에 대해 자극(전기장, 빛, 열, 자기장)의 종류에 따라 분류하여 소개하고, 합성 전략 및 구동 원리에 대해 간략하게 설명하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.731-736
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• 2023

Walking is a periodic motion that contains specific phases and is a basic movement method for humans. Through gait analysis, various musculoskeletal health conditions can be identified. In this study, we propose a calf wearable sensor system that can perform gait analysis without space limitations. Using a ToF(: Time-of-Flight) sensor that measures distance and an IMU(: Inertial Measurement Unit) sensor that measures inclination the heel trajectory of walking was derived by proposed method. In case of abnormal gait with risk of fall, gait is evaluated by analyzing the change pattern of the heel trajectory.

• Journal of Technology Innovation
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• v.25 no.3
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• pp.1-24
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• 2017

With the rise of internet of things (IoT), there have been several studies to analyze the technological trend and technological convergence. However, previous work have been relied on the qualitative work that investigate the IoT trend and implication for future business. In response, this study considers the patent information as the proxy measure of technology, and conducts a quantitative and analytic approach for analyzing technological convergence using patent co-classification analysis and text mining. First, this study investigate the characteristics of IoT business, and characterize IoT business into four dimensions: device, network, platform, and services. After this process, total 923 patent classes are classified into four types of IoT technology group. Since most of patent classes are classified into device technology, we developed a co-classification network for both device technology and all technologies. Patent keywords are also extracted and these keywords are also classified into four types: device, network, platform, and services. As a result, technologies for several IoT devices such as sensors, healthcare, and energy management are derived as a main convergence group for the device network. For the total IoT network, base network technology plays a key role to characterize technological convergence in the IoT network, mediating the technological convergence in each application area such as smart healthcare, smart home, and smart grid. This work is expected to effectively be utilized in the technology planning of IoT businesses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.307-309
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• 2016

This paper present about the system for sensing and controlling a wireless power transfer system using bluetooth protocol in robot, healthcare, smart-grid, and autonomous car. Recently a variety of applications using the Internet of Things (Internet of Things) and machine to machine (Machine to Machine) have been raised in many industries. To do this, it requires the fusion technology which is constituted with control, computing and networking. Embedded system is centered existing control system and Cyber Physical System(CPS) is the systems which was converged of a computing technologies using a wired or wireless network. CPS was adopted in the future government-led technology in the United States and Europe and is being pursued in cooperation with institutes, industries, and academia. In this paper, we implement and describe a technique for controlling the system for transmitting power wirelessly by sensing method using the matching of CPS technology concepts.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.513-519
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• 2022

The 4th industrial revolution has made our life convenient, and the development of new technologies has brought affluent life. Considering that the 4th industrial revolution is a next-generation industrial revolution led by robot technology, life science, and artificial intelligence, the need for convergence research in sports field stimulated the continuous efforts for the academic foundation of sports. Recently, as interest in home training has increased due to the COVID-19 pandemic, the Pilates has also attracted much attentions demand for related supplies has increased. This is an demonstration that COVID-19 has had an impact on the sports industry ecosystem. The purpose of this study was, accordingly, to identify current trends through accurate patent information related to Pilates and to provide basic data for future studies on sports convergence industry and sports intellectual property. For the purpose, based on the data from Jan. 1 to Dec. 31, 2021 provided by KIPRIS (www.kipris.or.kr), the patent information search service provided by the Korean Intellectual Property Office, patent status analysis, international patent classification (IPC) patent analysis, and detailed patent analysis by classification were performed.