• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.444-448
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• 2008

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2:image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.747-750
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• 2005

본 연구에서는 가정 내에서 사용할 수 있도록 PC 를 이용한 영상 감시시스템을 설계, 구현하였다. 구현 시스템은 PC 에 접속하여 영상장비인 4 대까지의 PC 카메라를 통해 영상을 입력 받도록 설계하였으며, 입력 받은 영상에 영상처리기법을 적용하여 영상 개선이 가능하도록 하였는데, 즉 내/외부 상황을 영상으로 모니터링 할 수 있으며, 확대 기능을 추가하여 목표물의 인식을 높였다. 또한 Motion Detection 감지를 통하여 영상 데이터를 확보할 뿐만 아니라 이를 별도의 저장매체에 저장할 수 있게 하였다. 초고속 인터넷을 통한 인증과 외부에서 가정 내 상황 확인, 그리고 영상 저장이 가능한 감시 시스템을 구축하였으며, 이는 앞으로 현재 이슈가 되고 있는 홈 네트워크 시스템에서 활용될 수가 있을 것이다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.27-27
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• 2004

이 논문에서는 이동 로봇 플랫폼 위에 장착되는 비전 시스템을 이용하여 대상 사람의 얼굴위치를 검출, 사용자 인식을 수행하는 방법론을 제시한다. 본 연구에서 적용대상으로 하는 이동로봇은 실내에서 사용 가능한 홈 서비스 로봇(Hombot-2)으로 인간-로봇 상호작용 (human-robot interaction, HCI)이 중요한 기능 중에 하나이다. 로봇에 장착된 스테레오 비전 카메라에서 획득하게 되는 얼굴 영상은 임의로 움직이는 로봇 작업 반경 밖에 있는 사용자의 특성 상 얼굴 영상이 비교적 작게 얻어지고 정면얼굴에서 벗어난 가변적 얼굴 자세변화를 갖게 된다.(중략)

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.403-404
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• 2017

본 논문에서는 Arduino MEGA 2560을 이용하여 JSN270을 통한 와이파이 시스템으로 집안에 있는 모든 전자제품을 제어 할 수 있는 컨트롤 제어 시스템이다. 스마트폰 어플리케이션을 집 내부의 각종 전자기기, 센서, CCTV와 연동하여 사용자가 간편하게 구동 할 수 있고 또한 인체 감지 센서를 통해 상시 감시하여 움직임을 감지시 경보 시스템을 작동 시키도록 설계되어져 있다. Arduino MEGA 2560을 이용한 프로그래밍을 기반으로 와이파이를 통해 내부를 포함한 외부에서도 각종 전자 부품을 ON/OFF 시킬 수 있으며 Raspberry Pi를 통해 카메라로 집 내부, 외부를 확인하여 어플을 통해 도어락을 해제 시킬 수도 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.10
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• pp.1897-1904
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• 2006

Home service robot must recognize and build map for indoor and components of the house such as furniture and chair etc. The previous researcher has developed a indoor map building system by using CCD camera and ultra sonic sensor. %no stems have some problem in such a way that (1) a distun resolution can be changed according to the number of pixel when we use a CCD camera system, (2) a measured distance can be decreased when it transmitted to the rubber because of being absorbed the sound energy. This paper represents an intelligent sensor controller of module has been developed by using optic PSD(Position Sensitive Detector) sensor any at a low price. To deduce the switching noise from beam power module and diffused reflection noise, we proposed a heuristic soft filter. The performance of the developed system was compared with ultra sonic sensor system by detecting the indoor wall environment. Some experiments were illustrated for the validity of the developed system.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.449-454
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• 2013

Recent, the number of consumers using home shopping are in increase. So, there have been a lot of effort to provide services that meet the consumer's eye level in each store. In particular, apparel stores have been conducted the research for virtual fitting room based on augmented reality technology that consumers can simulate in real time costumes that meet the tastes of consumers in online and offline market. In addition, some services has already progress. The general virtual fitting room simulator built the user interface based on OpenCV, augmented reality API, Kinect, and so on. But, it has the disadvantage that the equipment is expensive. In this paper, we have developed a 3D virtual fitting room simulator based on augmented reality technology using OpenCV and libsigc$^{++}$. This simulator can simulate easily in general home without any special equipment. This simulator is expected to be available very efficient in online and offline market as well as home shopping.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.57-64
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• 2020

Video surveillance is consists of cameras, transmission devices, storage and playback devices, and is used for crime prevention and disaster monitoring. Recently, it has been spreading to a wide variety of fields, and has developed into an intelligent video surveillance system that can automatically recognize or track characteristic objects of people and things. The purpose of this study was to investigate the cases of video surveillance service applying the latest technology by dividing it into the home, public, and private sectors. also this study tried to investigate and research what advantage it brings from a business perspective. By looking at the cases introduced in this study, it was confirmed that the viedo security service is developing intelligently, such as excellent compatibility with CCTV, multiple video surveillance, CCTV screen motion detection, and alarm through automatic analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1053-1059
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• 2021

In order to realize a smart home, a new type of service that converges the two technologies is required as a method to overcome the respective limitations of augmented reality and IoT technologies. Augmented reality recognizes objects and projects augmented content with the recognized objects on the screen. This technology mainly uses image processing methods such as markers as a method for recognizing objects. In this paper, an augmented reality-based IoT control platform using markers was developed. By defining a marker unique to the object, a unique identifier displayed on the camera was distinguished. A smart home system was implemented by calling a controller to control things. The proposed system receives state information of objects through symptom reality and transmits control commands. The proposed platform was verified by manipulating household lights.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.677-686
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• 2023

In this paper, we study the design and implementation of a smart home outing care system that recognizes the user's purpose of going out and delivers useful information that can help when going out. RSS service data of the Korea Meteorological Administration can be transmitted in real time using ESP8266, and a system that can provide weather information to users after analyzing the data using Arduino MEGA is implemented. Using App Inventor, you can pack the necessary items without forgetting, and you can change the settings according to the desired weather and purpose. The position of the microphone was placed outside to increase awareness by 12%, and the sensitivity of the pressure sensor was set to a maximum of 210 kΩ. If there is an obstacle between the doors, the doors open automatically. An ultrasonic sensor was placed on the ceiling of the drawer to recognize an object within the range of 0.5cm to 10cm to check the existence of an object, and a camera was installed to research a security reinforcement system.

• Science of Emotion and Sensibility
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• v.14 no.3
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• pp.347-360
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• 2011

To find out characteristics of TV home shopping's virtual space deepness styling, this study had analysis characteristics of space deepness which is showed on flat TV screen with actually aired 6 dinnerware sales case, at $C^*$ home shopping, March.2005~November.2010, and survey consumer's emotional verbal image according to space styling character to get space deepness, which were shown on flat TV screen with camera angle, and research mutual relation with consumer preference. Also consumer's typical emotional verbal images for each space styling images for brand dinner ware sales had been extracted with reliability analysis, factor analysis, and multi dimensional scaling MDS using SPSS. Styling characteristics of space deepness were contrast of size, layering, vertical arrangement, and perspective arrangement, and used camera angles were bird's eye view, hi angle, and eye level. Result from the research is, highly marked consumer preferred styling material had a deep corelation to material's main factor and perceived emotional verbal images. Therefore this research could bring forward to new consumer preferred styling characteristics according to camera angle. Furthermore, it will be possible to make a study of preferred styling material through evaluation of quantitative spectators of in this area.