• MALSORI
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• no.43
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• pp.57-72
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• 2002

The technology of speech recognition has a wide field of application. The range of such technology is spreading into mobile computing having the large amount of movement for communication equipments at the present time. Particularly, recognition in internet environment is rapidly moving into mobile environment. Because of these environments, users want the faster speed of data transmission and the lighter portable equipment for data access. That is PDA(Personal Digital Assistant). Therefore, we designed a triphone-based text independent vocabulary recognizer for the implementation of speech control in this paper. The text independent vocabulary recognizer is based on the state .joint algorithm with decision trees

• The Journal of the Acoustical Society of Korea
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• v.21 no.4E
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• pp.170-177
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• 2002

The goal of the present research is to improve a quality of life of the elderly with a dementia. In this paper, it is realized by developing the dialog system that is controlled by three kinds of modules such as speech recognition engine, graphical agent, or database classified by a nursing schedule. The system was evaluated in an actual environment of a nursing facility by introducing it to an older male patient with dementia. The comparison study between dialog system and professional caregivers was then carried out at nursing home for 5 days in each case. The evaluation results showed that the dialog system was more responsive in catering to needs of dementia patient than professional caregivers. Moreover, the proposed system led the patient to talk more than caregivers did.

• International journal of advanced smart convergence
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• v.6 no.4
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• pp.19-25
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• 2017

After 40 years of age, the saliva glands are aged and the saliva is not made enough to cause xerostomia symptoms. Side effects such as hypertension medication or diuretics that the elderly take mainly can cause xerostomia syndrome. In addition, autoimmune diseases, diabetes, anemia, depression and other common diseases that cause xerostomia symptoms. If the saliva secretion is insufficient, tooth decay and gum disease are likely to occur, and the digestive ability of the saliva is also reduced due to the lack of amylase, which is a digestive element. Once the degenerated salivary gland is restored to its normal state, it is difficult to recover. In this paper, we give electrical stimulation to the masseter which is in contact with the large pituitary gland, and stimulate the salivary gland to the utmost by using speech recognition using words corresponding to oral gymnastics. Use the STM32F407VG to implement a system to relieve xerostomia.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.348-353
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• 2008

This paper proposes a novel touch interface for recognizing user's touch pattern and understanding emotional information by eliciting natural user interaction. To classify physical touches, we represent the similarity between touches by analyzing touches based on its dictionary meaning and design the algorithm to recognize various touch patterns in real time. Finally we suggest the methodology to estimate user's emotional state based on touch.

• Journal of Biomedical Engineering Research
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• v.8 no.2
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• pp.231-240
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• 1987

This Paper introduces a new design of motorized wheel chair for the disabled, which is intended to improve the quality of the disabled's indoor life. This vehicle was based on high manoeuvrability of the omnidirectional drive and saftey. Usually, the vehicle controlled by a joystick but also the voice control system to be prepared for the severely disabled. This voice control system responds to the result of voice recognition, state of system or warning of dangers with voices, which has real time response and 95.3% recognition ratio and satisfactory synthesis voice Quality Therefore this system is able to provide independency in driving and the disabled's daily life.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1284-1287
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• 1987

A method of quantitative electrocardiogram analysis, based on concepts drawn from syntactic pattern recognition theories, is described. The algorithm can be used for removing the Interference noises and base line drift as a filter function, and for reducing the number of points representing the digitized ECG waveform. The Parsing is performed with simple finite state automata inferred by experiments and suitable to be updated during experiment execution. Two parameters are utilized for defining the noise and these make the algorithm flexible. The examples for testing the algorithm is real ECG waveforms with noise. Some experimental results lire presented.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.213-215
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• 2009

Using the object recognition processing on the captured images, we can inspect whether a packaging process is performed correctly in real time. So we realized the functions that acquire an image of each state of the packaging process using a camera, extract each object in the image, and inspect the packaging process using the extracted object data. In case an object shape is solid, for object search, a shape-based matching algorithm was used which searches the object utilizing the informations on the shape. In case an object shape is not solid, and Is flexible, gray-level difference of the pixels in the limited image region including the object was used to recognize the object.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.12
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• pp.1203-1208
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• 2009

Green IT based u-City means that u-City having Green IT concept. If we adopt the situation awareness or not, the processing of Green IT may be reduced. For example, if we recognize a lot of speech sound on CCTV in u-City environment, it takes a lot of processing time and cost. However, if we want recognize emergency sound on CCTV, it takes a few reduced processing cost. So, for detecting emergency state dynamically through CCTV, we propose our advanced speech recognition system. For the purpose of that, we adopt HMM (Hidden Markov Model) for feature extraction. Also, we adopt Wiener filter technique for noise elimination in many information coming from on CCTV in u-City environment.

• International Journal of Contents
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• v.7 no.3
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• pp.6-12
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• 2011

In this paper, we show how such enhancement of Farwell-Donchin BCI enables a fresh, inexperienced user to achieve quickly an accurate BCI control with a high information transfer rate. This paper presents the results of a BCI experiment where the participant, who had no previous BCI experience, obtained, in about 20 min, a highly reliable and fast control over the BCI spelling device based on the Farwell-Donchin paradigm. Offline analysis showed that the high performance of the BCI was, to a high extent, due to the use of the ERP component N1, in addition to component P300, which has been considered the only ERP component important for the prediction of user's choice in the Farwell-Donchin paradigm in many publications.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.2
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• pp.82-89
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• 2006

The electroencephalogram generated by light stimulation in human body of dark adaption state was measured and analyzed in the cases that electromagnetic wave was put in and not put in, respectively. Shieldroom being able to interrupt the light and the electromagnetic wave of outer was constructed, and the experimental system being able to apply any light and any electromagnetic wave was designed. When the electromagnetic wave was applied to body or not, the variation characteristics of each component in the electroencephalogram were i3s follows. The 6 wave was increased and the $\alpha$ wave and the $\beta$ wave were decreased in the case that the electromagnetic wave was applied, and the variation range of the $\Theta$ wave was small. And the influence of electromagnetic wave on human body was that the appearance time of the $\beta$ wave was late, and it moaned that the time of visual recognition was delayed.