• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.322-327
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• 2007

Researchers in the field of psychology used Electroencephalographic (EEG) to record activities of human brain lot many years. As technology develope, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study emotion recognition method which uses one of physiological signals and gestures in the existing research. In this paper, we use together physiological signals and gestures for emotion recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both physiological signals and gestures gets high recognition rates better than using physiological signals or gestures. Both physiological signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on a reinforcement learning.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.689-698
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• 2021

In this paper, lane recognition, steering control and speed control algorithms were developed using Bluetooth wireless communication and image processing techniques. Instead of recognizing road traffic signals based on image processing techniques, a methodology for recognizing the permissible road speed by receiving speed codes from electronic traffic signals using Bluetooth wireless communication was developed. In addition, a steering control algorithm based on PWM control that tracks the lanes using the Canny algorithm and Hough transform was developed. A vehicle prototype and a driving test track were developed to prove the accuracy of the developed algorithm. Raspberry Pi and Arduino were applied as main control devices for steering control and speed control, respectively. Also, Python and OpenCV were used as implementation languages. The effectiveness of the proposed methodology was confirmed by demonstrating effectiveness in the lane tracking and driving control evaluation experiments using a vehicle prototypes and a test track.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.699-708
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• 2021

In this paper, a steering control and speed control algorithm was presented for autonomous driving based on two vision sensors and road speed sign board. A car speed control algorithm was developed to recognize the speed sign by using TensorFlow, a deep learning program provided by Google to the road speed sign image provided from vision sensor B, and then let the car follows the recognized speed. At the same time, a steering angle control algorithm that detects lanes by analyzing road images transmitted from vision sensor A in real time, calculates steering angles, controls the front axle through PWM control, and allows the vehicle to track the lane. To verify the effectiveness of the proposed algorithm's steering and speed control algorithms, a car's prototype based on the Python language, Raspberry Pi and OpenCV was made. In addition, accuracy could be confirmed by verifying various scenarios related to steering and speed control on the test produced track.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.131-133
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• 2021

Recently, the average cost of education per child has increased compared to the annual birthrate, which has been decreasing, and the quality of education has also changed. In this paper, we aim to provide more efficient delivery for language learning using Unity's Buforia techniques. Using an application using a smartphone's camera based on Unity, it provides effective language development by inducing interest to learners through sound along with three-dimensional pictures. By providing such education, parents can gain satisfaction in providing high-quality education to their children. For children learning, smartphones have the effect of becoming educational elements, not just watching videos or playing games. Finally, by improving the quality of education, it gives satisfaction to parents and gives children who learn a language as well as the perception that smartphones serve as educational devices.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1047-1048
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• 2023

청각장애인은 수화 언어, 즉 수어를 통해 의사소통한다. 따라서 본 논문에서는 의료 상황에서 청각 장애인이 겪는 소통의 어려움을 해결하기 위해 의료 상황 중심의 수어 데이터셋을 구축한 뒤, R(2+1)D 딥러닝 모델을 이용해 수어 동작을 영상 단위로 인식하고 분류할 수 있도록 하였다. 그리고 이를 Django를 이용한 웹 사이트로 만들어 사용할 수 있게 하였다. 이 웹 페이지는 청각장애인 개인 뿐만 아니라 의료 사회 전반적으로 긍정적인 효과를 줄 것으로 기대한다.

• Journal of Sensor Science and Technology
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• v.33 no.2
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• pp.78-85
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• 2024

We proposed a method for visual place recognition that represents images using objects as visual words. Visual words represent the various objects present in urban environments. To detect various objects within the images, we implemented and used a zero-shot detector based on a large-scale image language model. This zero-shot detector enables the detection of various objects in urban environments without additional training. In the process of creating histograms using the proposed method, frequency-based weighting was applied to consider the importance of each object. Through experiments with open datasets, the potential of the proposed method was demonstrated by comparing it with another method, even in situations involving environmental or viewpoint changes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.347-350
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• 2010

With the advent of new media era we are living in the world of motion picture image is not an exaggeration. With the development of the mass media with images and moments that passed the day feeling like part of it is communication. In this era a sensual and shapeable image more than the logical and realistic thinking may be passed. In the act of seeing a moving image, prior to linguistic and conceptual meaning, color and screen configuration delivery and formative element in the change they produce is first recognized. Particular kind of video animation having the narrative structure, this territory effect greatly. the film even more significant effect on the area and linking the image of the scene transitions in the scheme also features a simple means of natural communication functions are being expanded. These transitional effects provide visual pleasure from a simple transition traditional methods. And In terms of narrative functions performed to help a narrative flow of availability, visual representation should continue.

• Journal of Korea Multimedia Society
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• v.5 no.6
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• pp.625-637
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• 2002

The Internet had been taken properties which were both a slow speed and low-bandwidth of the first time. It was impossible to transmit large multimedia data because of a Internet properties. After tens of Year Passed, many people began to transmit multimedia data in the Internet which had fast-speed and high-bandwidth. Some people want to team classes to be taught in school through the Internet. And, educators wish to use multimedia data in the educational field. Due to previous reasons, many parts in the educational field had tried to join real-time objects to multimedia objects. But, real-time data didn’t appear easily due to many faults like network errors and system bugs if we want to control data in order to teach and learn classes. Then, this paper separates real-time and unreal-time data and controls these data that aye made a time scheduler to have time information in the extended SMIL-file for deceasing these faults.

• Journal of Advanced Navigation Technology
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• v.25 no.6
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• pp.557-561
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• 2021

A meatadata has become an essential element in order to recommend video content to users. However, it is passively generated by video content providers. In the paper, a method for automatically generating metadata was studied in the existing manual metadata input method. In addition to the method of extracting emotion tags in the previous study, a study was conducted on a method for automatically generating metadata for genre and country of production through movie audio. The genre was extracted from the audio spectrogram using the ResNet34 artificial neural network model, a transfer learning model, and the language of the speaker in the movie was detected through speech recognition. Through this, it was possible to confirm the possibility of automatically generating metadata through artificial intelligence.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.117-123
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• 2016

A hand-gesture interface to manipulate a 3D object of augmented reality is implemented by recognizing the user hand-gesture in this paper. Proposed method extracts the hand region from real image, and creates augmented object by hand marker recognized user hand-gesture. Also, 3D object manipulation corresponding to user hand-gesture is performed by analyzing a hand region ratio, a numbet of finger and a variation ratio of hand region center. In order to evaluate the performance of the our proposed method, after making a 3D object by using the OpenGL library, all processing tasks are implemented by using the Intel OpenCV library and C++ language. As a result, the proposed method showed the average 90% recognition ratio by the user command-modes successfully.