• The Journal of the Convergence on Culture Technology
• /
• v.6 no.1
• /
• pp.507-513
• /
• 2020

This paper aims to design and implement a robot that will help teach children living habits and English conversation education in dual-income families using the open platform robot Q.bo one based on raspberry pi3 of a single board computer. The first function of life habit formation is to help children to wash their hands, to brush their teeth, homework and sleep regularly. The child is then photographed listening to the notification and acting so that the parent can identify and provide feedback. The second basic conversation education feature uses Google's DialogFlow to help children learn English naturally through simple English conversation through the robot. The two-functioning robot allows children from working families to feel secure by printing their parents' voices even when they are not at home. At the same time, it allows them to get into basic lifestyle, to have basic English conversation with robots, and to be interested in English early.

• ICROS
• /
• v.18 no.3
• /
• pp.24-32
• /
• 2012

최근 유비쿼터스 환경을 실현하기 위한 노력이 활발히 진행되고 있다. 대표적으로 센서 네트워크를 예로 들 수 있는데, 센서 네트워크란 다양한 위치에 선치된 태그와 센서노드를 통해 사람과 사물, 환경정보를 인식하고 그 정보를 무선으로 수집해 언제 어디서나 자유롭게 이용할 수 있도록 구성된 네트워크를 의미한다. 이를 실현하기 위해 센서 네트워크를 적용한 물류, 환경제어, 홈 네트워크, 헬스케어, 교통 등 다양한 응용분야가 적용되고 있는 가운데, 센서 네트워크 분야는 거대해지고 응용분야가 확장될 것으로 예상된다.

• Journal of IKEEE
• /
• v.24 no.3
• /
• pp.909-912
• /
• 2020

This paper introduces a customized pet care and training system based on information technology. A specific animal is recognized by nose-print recognition. Pet robot induces the animal to move to trainer device. Trainer device trains the animal by snack, play, and clicker, and it can be easily extended for specific training using add-on devices. Pet band performs vital sign monitoring, prevention of home escape, and measurement of exercise amount. By changing configuration, this system can perform various training programs such as mitigation of separation anxiety, induction to defecation place, and prohibition of tresspassing specific place. It also provides customized training by analyzing individual behavior of animal. It can exercise and play the animal when owner is out, and it can immediately notice to the owner when the animal has health trouble.

• The Journal of Korea Robotics Society
• /
• v.15 no.4
• /
• pp.330-340
• /
• 2020

The purpose of this study was to develop Dementia-Care-Robot integrated program based on group customization and to identify effects on IADL, depression, and attitudes toward robot. This study was nonequivalent control group pre-post test design. The subjects were 40 elders diagnosed with mild dementia participating in the dementia center daily program (20 in the experimental group and 20 in the control group). Each session lasted for 30 minutes, twice a week during 6 weeks. Data were collected from July 16 to November 7, 2019, and were analyzed using SPSS WIN 22.0 program to identify differences between groups for variables. After the program, the experimental group improved in IADL, depression, but there were no significant differences between the two groups. In attitude toward robot, the experimental group showed positive change to the robot, but the control group showed negative change to it, also there was a significant difference between the two groups. Findings indicate that integrated program using Dementia-Care-Robot has potential as a strategy to improve the symptoms of dementia and to delay the progression. It needs to be applied in the medical field through convergent approach of engineering.

• Journal of Convergence for Information Technology
• /
• v.11 no.4
• /
• pp.83-101
• /
• 2021

This study is to investigate, using AHP, what technologies should be applied first to Korean SMEs in order to respond to the 4th industrial revolution and change to a smart enterprise. To this end, technologies related to the 4th industrial revolution and smart factory are synthesized, and the classification criteria of Dae-Hoon Kim et al. (2019) are applied, but additional opinions of experts are collected and related technologies are converted to artificial intelligence (AI), Big Data, and Cloud Computing. As a base technology, mobile, Internet of Things (IoT), block chain as hyper-connected technology, unmanned transportation (autonomous driving), robot, 3D printing, drone as a convergence technology, smart manufacturing and logistics, smart healthcare, smart transportation and smart finance were classified as smart industrial technologies. As a result of confirming the priorities for technical use by AHP analysis and calculating the total weight, manufacturing companies have a high ranking in mobile, artificial intelligence (AI), big data, and robots, while service companies are in big data and robots, artificial intelligence (AI), and smart healthcare are ranked high, and in all companies, it is in the order of big data, artificial intelligence (AI), robot, and mobile. Through this study, it was clearly identified which technologies should be applied first in order to respond to the 4th industrial revolution and change to a smart company.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.8
• /
• pp.525-530
• /
• 2019

Electroencephalography(EEG) studies that have been in clinical research since the discovery of brainwave have recently been developed into brain-computer interface studies. Currently, research is underway to manipulate robot arms and drones by analyzing brainwave. However, resolution and reliability of EEG information is still limited. Therefore, it is required to develop various technologies necessary for measuring and interpreting brainwave more accurately. Pioneering new applications with these technologies is also important. In this paper, we propose development of a personal authentication system fit for lifecaretainment based on EEG. The proposed system guarantees the resolution and reliability of EEG information by using the Electrooculogram and Electromyogram(EMG) together with EEG.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.406-409
• /
• 2022

In recent years, the developments in technologies, such as AI systems, Blockchain, VR/AR, 3D printing, robotics, and nanotechnology, are reshaping the future of healthcare right before our eyes. And also, healthcare has seen a paradigm shift towards prevention-oriented medicine, with a focus on consumers requirements. The spread of infectious diseases such as Covid-19 have altered the definition of healthcare and treatment facilities, necessitating immediate action to redesign hospitals' physical environments, adapt communication models to address social distancing requirements, implement virtual health solutions, and establish new clinical protocols. Hospitals, which have traditionally served as the hub of healthcare systems, are pursuing or being forced to reestablish themselves against this landscape. Rather than only treating ailments, future healthcare is predicted to focus on wellness and prevention. In personalized care, long-term prevention strategies, remote monitoring, early diagnosis, and detection are critical. Given the growing interest in smart healthcare defined by these modern technologies, this study looked into the definitions and service kinds of smart healthcare. The background and technical aspects of smart hospitals were also explored through a literature review.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.1733-1734
• /
• 2008

We develope a riding robot system named as "RideBot" for health-care and entertainments. An algorithm for estimating riding position and volition is proposed by using bio-signals. We analyze the riding position and volition in real-horse riding environments and build up the database. With this database and sensor informations, standard positions are made. For the volition estimation, we use the acceleration and deceleration sensor information and bridle information for direction change. We propose a hybrid control algorithm in which discrete-state and continuous-state controls are combined. The efficiency of the proposed algorithm is evaluated thru various experiments.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.1735-1736
• /
• 2008

In this research, a riding robot system named as "RideBot" is developed for health-care and entertainments. The developed riding robot can follow the intention of horseman and can simulate the motion of horse. The riding robot mechanisms are used for many functions of attitude detection, motion sensing, recognition, common interface and motion-generations. This riding robot can react on health conditions, bio-signals and intention informations of user. One of the objectives of this research is that the riding robot could catch user motion and operate spontaneous movements. In this paper, we develope the saddle mechanism which can generate 3 degrees-of-freedom riding motion based on the intention of horseman. Also, we develope reins and spur mechanism for the recognition of the horseman's intention estimation and the bio-signal monitoring system for the health care function of a horseman. In order to evaluate the performance of the riding robot system, we tested several riding motions including slow and normal step motion, left and right turn motion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.774-776
• /
• 2014

노령층의 증가로 인하여 독거 노인층이 점점 증가하고 있다. 독거 노인은 외부의 침입이나 갑작스런 건강상의 문제로 위험에 처해질 가능성이 매우 높다. 따라서 독거 노인의 의료복지에 대한 관심이 날로 증가하고 있다. 본 연구에서는 독거 노인의 의료 복지에 적용할 수 있는 활동량 모니터링 시스템을 개발하였다. 이 시스템은 저 전력으로 동작하는 지그비 임베드 네트워크와 DTMF(Dual Tone Multi Frequency) 전화 시스템으로 구성되어, U-Health 케어 개념으로 활동량과 혈압 등의 인체 정보를 일상 생활 속에서 병원 및 보호자에게 전송할 수 있다. 또한 본 연구 결과는 미래의 독거 노인 원격진료 시스템에 적용될 수 있다.