• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.17-23
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• 2016

NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.29.2-29
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• 2001

For the design of human-centered systems in which a human and machine such as a robot form a human-in system, human-friendly interaction/interface is essential. Human-friendly interaction is possible when the system is capable of recognizing human biosigns such as5 EMG Signal, hand gesture and facial expressions so the some humanintention and/or emotion can be inferred and is used as a proper feedback signal. In the talk, we report our experiences of applying the Soft computing techniques including Fuzzy, ANN, GA and rho rough set theory for efficiently recognizing various biosigns and for effective inference. More specifically, we first observe characteristics of various forms of biosigns and propose a new way of extracting feature set for such signals. Then we show a standardized procedure of getting an inferred intention or emotion from the signals. Finally, we present examples of application for our model of rehabilitation robot named.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.101-104
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• 2006

유비쿼터스 시대가 다가오면서 앞으로 가정 및 회사 등 인간이 거주하며 생활하는 공간에서의 좀 더 편리하고 효율적인 다양한 정보를 인간에게 인지시켜 줄 수 있는 환경이 구축되어야한다. 이를 기반으로 유비쿼터스 주변장치들의 네트워크와 인간에게 많은 정보와 편리성이 좀 더 효율적으로 이루어져야 할 것이다. 이를 위해 본 논문에서는 센서모듈에서 추출되는 데이터를 신경망과 퍼지 알고리즘을 사용해 동작인식의 패턴을 분류하여 인간의 사고를 움직임 파악한다. 이러한 패턴의 분류를 통해 홈네트워크 시스템과의 센서모듈의 통신제어가 가능하게 된다 이를 바탕으로 패턴이 분류된 행동들의 명령으로 미리 지정된 간단한 손동작으로 여러 가전기기라든지 홈네트워크 시스템의 제어방식을 더욱 간단히 제어하며, 인간의 건강상태를 파악함으로써 인간행동과 상태에 따른 유비쿼터스 환경의 제어가 이루어 질 수 있는 시스템을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.289-292
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• 2009

A person does communication between each other using language. But In the case of disabled person can not communication own idea to use writing and gesture. Therefore, In this paper, we embodied communication system using the facial muscle signals so that disabled person can do communication. Especially, After feature extraction of the EEG included facial muscle, it is converted the facial muscle into control signal, and then select character and communicate using a minimum list keyboard.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.171.5-171
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• 2001

Information that is acquired by adhered sensors on a body has been commonly used for the three-dimensional real-time motion capture algorithm. This paper describes realtime motion capture algorithm using computer vision. In a real-time image sequence, human body silhouette is extracted use a background subtraction between background image and the reference image. Then a human standing posture whether forward or backward is estimated by extraction of skin region in the silhoutte. After then, the principal axis is calculated in the torso and the face region is estimated on the principal axis. Feature points, which are essential condition to track the human gesture, are obtained ...

• Journal of Sensor Science and Technology
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• v.31 no.3
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• pp.145-150
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• 2022

The importance of flexible polymer-based pressure sensors is growing in fields like healthcare monitoring, tactile recognition, gesture recognition, human-machine interface, and robot skin. In particular, health monitoring and tactile devices require high sensor sensitivity. Researchers have worked on sensor material and structure to achieve high sensitivity. A simple and effective method has been to employ three-dimensional pressure sensors. Three-dimensional (3D) structures dramatically increase sensor sensitivity by achieving larger local deformations for the same pressure. In this paper, the performance, manufacturing method, material, and structure of high-sensitivity flexible pressure sensors based on 3D structures, are reviewed.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.197-200
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• 2007

본 논문에서는 로봇 컨트롤 시스템을 위해 입력 받은 영상부터 몇 가지의 손 제스처를 인식하는 비전기반 손 제스처 인식방법을 제안한다. 로봇으로부터 입력 받은 이미지는 로봇의 위치, 주변환경, 조명 등 여러 요인에 따라 다양하게 존재한다. 본 논문은 다양한 환경에서 입력되는 영상으로부터 시스템이 로봇 컨트롤을 위해 미리 지정한 몇 가지 제스처를 인식하도록 한다. 먼저 이미지 조명 변화에 강한 손 제스처 인식을 위하여 레티넥스 이미지 정규화를 적용한 후, YCrCb 공간 상에서 입력된 영상에서 손 영역을 검출 후 위치를 추정한다. 인식된 손 영역에서 특징벡터를 추출함으로서 입력 영상내의 존재할 수 있는 손의 크기나 손의 회전각도 등에 상관없이 필요로 하는 제스처를 인식하도록 한다. 제안된 제스처 인식 결과는 로봇컨트롤을 위한 기존의 제스처인식과 비교하여 성능을 측정하였다.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.738-744
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• 2013

According to the cognitive science research, the interaction intent of humans can be estimated through an analysis of the representing behaviors. This paper proposes a novel methodology for reliable intention analysis of humans by applying this approach. To identify the intention, 8 behavioral features are extracted from the 4 characteristics in human-human interaction and we outline a set of core components for nonverbal behavior of humans. These nonverbal behaviors are associated with various recognition modules including multimodal sensors which have each modality with localizing sound source of the speaker in the audition part, recognizing frontal face and facial expression in the vision part, and estimating human trajectories, body pose and leaning, and hand gesture in the spatial part. As a post-processing step, temporal confidential reasoning is utilized to improve the recognition performance and integrated human model is utilized to quantitatively classify the intention from multi-dimensional cues by applying the weight factor. Thus, interactive robots can make informed engagement decision to effectively interact with multiple persons. Experimental results show that the proposed scheme works successfully between human users and a robot in human-robot interaction.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.411-417
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• 2013

Two-dimensional image processing method and tools Rigi then developed a report prepared by a variety of video and three-dimensional images are increasing demands for navigation. The hard part to experience in the real world experience in the virtual environment, and has the purpose to take advantage of. This is a system that provides a simple 3D background, but everyday actions that can control the system with the needs of an instinctive interface technology means. The purpose of this study a variety of human behavior using the Kinect device in action close to the three-dimensional technology to develop a new navigation control is Kinect Holography and 3D images using the input data so that you have the linkage is to design the system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1338-1344
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• 2010

A person does communication between each other using language. But In the case of disabled person can not communication own idea to use writing and gesture. Therefore, In this paper, we embodied communication system using the facial muscle signals so that disabled person can do communication. Especially, After feature extraction of the EEG included facial muscle, it is converted the facial muscle into control signal, and then select character and communication using a minimum list keyboard.