• Journal of the Korean Society of Marine Environment & Safety
• /
• v.11 no.1 s.22
• /
• pp.11-16
• /
• 2005

A ship can be considered as a large human-machine system and the interaction between worker and system affects the work performance and its efficiency. In the bridge if a ship, there exist many auditory signals as well as visual signals. However, only a few studies have been performed related to human recognition to alarm systems in the bridge. In this study, auditory icons and abstract sounds are compared to find more effective means if alarm systems. The study result shows that auditory icons are recognized faster than n abstract sounds. The result is expected to be use as a basic data for developing performance criteria q auditory display inside bridge and for designing integrated ship bridge alarm system.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.7 no.1
• /
• pp.45-50
• /
• 2013

Recently, a method for detecting animal tinnitus objectively, gap prepulse inhibition of acoustic startling (GPIAS) were reported. However, the GPIAS method is difficult to be directly applied to human tinnitus research because measuring repeatedly startling responses evoked by more than 110 dB SPL acoustic stimuli for human is not easy. In this paper, the auditory late latency response (ALLR) measurement system which can measure conveniently evoked potentials involving the information about the brain cortical activity related with auditory psychologic phenomena such as a tinnitus has been implemented. By using the implemented system, 8 persons with normal hearing sense have been experimented to measure N1-P2 amplitudes of ALLRs evoked by gap prepulse based acoustic stimuli. Through the experimental results, the prepulse inhibitions of all the participants' N1-P2 responses have been observed and their characteristics were evaluated. And it is verified that our implemented system can be utilized as a device for researching and evaluating the objective tinnitus detection method in the future study.

• The KIPS Transactions:PartB
• /
• v.13B no.2 s.105
• /
• pp.97-104
• /
• 2006

There is no method to control for the child efficiently when disease happens who cannot be able to express his symptoms. Therefore, doctor's diagnosis depends on inquiring from child's patients, that leads to wrong diagnosis result. For this, in this paper, we would like to develop child ocular inspection, auscultation diagnosis instruments, using Oriental medicine principle that living body signal of five organs and six hallow organs which reflects patients face and voice We would like to get more accurate diagnosis result for child's symptoms from doctor's intuition on the basis of diagnostic sight visualization, objectification, quantization itself. This paper develops color revision, YCbCr application, and face color selection and five sensory organs and nose or apex extraction method etc, in child ocular inspection by first work achievement sequence among the whole development systems. Also, in occasion of child auscultation, crying characteristics of colics through pitch, intensity and formant analysis is numerized and objectifies doctor's intuition through this. Finally, experiments are performed to verify the effectiveness of the proposed methods.

• Journal of the Society of Disaster Information
• /
• v.13 no.1
• /
• pp.51-58
• /
• 2017

This paper proposes a direction estimation scheme with directional speaker and smart device for evacuation guidance. When there is worst disaster environment filled with smoke and noisy sound, evacuee can not get any information about evacuation routes. The proposed scheme can be used for detecting evacuation routes with audible and inaudible signal from directional speaker. At this point, evacuee can get evacuee guidance by using smartphone application that the proposed scheme is applied. The performance of the proposed scheme is evaluated by experiment with three different types of smart devices in large indoor environment. The purpose of experiment is to detect the direction of transmitted signal from directional speaker. Therefore, The experiment is conducted by analyzing the strength of transmitted signal by distance. The experimental results show that even if the smart device is located up to 20m away from the speaker, it is possible to detect the sending direction of the signal. We confirmed the possibility of the proposed technology in 8kHz and 20kHz signal detection by smart device.

• Journal of Korea Game Society
• /
• v.16 no.2
• /
• pp.119-128
• /
• 2016

In computer games, most of GUI methods are keyboards, mouses and touch screens. The total time of processing the sound commands for games is the sum of input time and recognition time. In this paper, we propose a method for taking only the prefixes of the input signals for sound commands, resulting in the reduced the total processing time, instead of taking the whole input signals. In our method, command sounds are recognized using HMM(Hidden Markov Model), where separate HMM's are built for the whole input signals and their prefix signals. We experiment our proposed method with representative commands of platform games. The experiment shows that the total processing time of input command signals reduces without decreasing recognition rate significantly. The study will contribute to enhance the versatility of GUI for computer games.

• The Journal of the Acoustical Society of Korea
• /
• v.30 no.5
• /
• pp.273-280
• /
• 2011

The sounds of the Korean temple bells, that are located in the various places, were recorded and classified into two groups according to the size of bells. The sound preference was investigated with the subjective listening test on the bells of each group. And the acoustic characteristics of the bells such as the frequency, amplitude, beat period, and 20 dB decay rate of the partials was analyzed. The correlation between the acoustic parameters and timbre preference were analyzed and the acoustic characteristics of highly preferred bell sound were presented.

• Journal of Korea Society of Industrial Information Systems
• /
• v.23 no.2
• /
• pp.11-18
• /
• 2018

Severe snoring can lead to OSA(Obstructive Sleep Apnea), which can lead to life-threatening cases, and snoring can lead to serious pernicious relationships. In order to solve these snoring problems, several types of smart pillows have recently been released. The core technology is snoring discrimination technology, ie, a technique for determining whether snoring is included in the input sound. In this paper, we propose a snoring detection method to apply to a smart pillow. After extracting the features of the snoring sound from the input signal, we discriminate the snoring using these features and SVM. In order to measure the performance of the proposed method, comparative experiments with the existing methods are performed. The experimental results show about 6% better discrimination performance than the existing method.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.968-970
• /
• 2022

일반적으로 가정 내에서 발생하는 안전 사고의 비율은 비장애인에 비해 청각장애인이 높다. 이는 외부인에게 도움을 받을 수 없는 상황에서 청각장애인 스스로 위험상황에 대한 소리를 인지하지 못하기 때문이다[1]. 본 연구에서는 이러한 문제를 해결하기 위해 시각적 효과 또는 진동 신호를 통해 청각장애인들에게 사고 상황 인지를 돕는 시스템을 제안한다. 현재 상용 제품의 경우는 청각장애인이 스마트기기를 소지하고 있을 때만 알림을 인지할 수 있기 때문에 긴급 상황에서 효과가 떨어질 수 있다. 따라서 제안 시스템에서는 어플리케이션 알림과 함께 건물내 전등 색상에 변화를 주는 서비스를 개발하여 스마트 기기를 소지하지 않는 상황에서도 위험상황에 대한 즉각적인 인지를 통해 위험에 대처할 수 있도록 한다. 소리를 시각화하는 것이 본 연구의 핵심 방법론이며 이를 위해 Convolutional Neural Network 모델과 라즈베리파이를 활용하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.11a
• /
• pp.59-62
• /
• 2007

태어나면서부터 건강에 대한 욕구는 현대 사회에서 많은 부분을 차지하게 된다. 물론 어려서부터의 건강관리가 건강 수명 연장은 물론 가장 기본적인 행복한 삶의 추구까지도 보장되고 있는 실정이다. 이를 위해 본 논문에서는 한의학에서 환자의 질병을 진단하기 위해 사용되고 있는 망진(望診)과 청진(聽診)의 이론적 근거를 바탕으로 소아 감기 질환에 대한 진단 시스템을 개발하고자 한다. 특히 소아감기는 일반적으로 제일 발병률이 높은 질환으로 얼굴 부위에 열을 동반한다는 것과 울음소리가 인체의 모든 조음기관과 연관되어 있다는 한의학적 이론을 기반으로 소아의 생체신호를 분석하여 소아 감기와의 상관성을 분석하고자 한다. 이를 위해 소아 감기 환자에 대한 1차 실험으로 얼굴 영상에서의 열 관련 여부에 대한 색상 분석을 행하였으며 2차 실험으로는 조음기관에 대한 성분음을 추출하는 스펙트럼 분석을 수행하였다. 이를 통해 정상 소아와 감기 질환을 앓고 있는 소아 환자간의 차이점을 추출하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.11a
• /
• pp.173-176
• /
• 2009

본 논문에서는 영상 정보와 오디오 정보 분석을 이용하여 TV 골프 방송 프로그램에서 중요 이벤트 구간을 검출하고 요약 하는 알고리즘을 제안한다. 제안하는 알고리즘에서는 입력되는 TV 골프 동영상을 영상 신호와 오디오 신호로 분리한 후에, 연속적인 오디오 스트림을 내용 기반의 오디오 구간으로 분류한 뒤 오디오 이벤트 구간을 검출하고, 이와 병렬적으로 영상정보에서 선수들의 플레이 장면을 검출한다. 플레이 장면 검출에 있어서는 방송 환경이나 날씨 등의 변화하는 다양한 조건에 대해 플레이 장면에 대한 오프라인 모델과 함께 경기 내에서 발생한 온라인 모델에 대한 학습을 혼합 적용함으로써 검출 성능을 높였다. 오디오 신호로부터 관중들의 박수소리와 스윙 사운드를 통해 검출된 오디오 이벤트와 플레이 장면은 이벤트 장면 검출 및 요약본 생성을 위해 사용된다. 제안된 알고리즘은 멀티 모달 정보를 이용하여 이벤트 구간 검출을 수행함으로써 중요 이벤트 구간 검출의 정확도를 높일 수 있었고, 검출된 이벤트 구간에 대한 요약본 생성을 통해 골프 경기를 시청하는 사용자가 원하는 부분을 빠르게 브라우징하여 시청하는 것이 가능하여 높은 사용자 만족도를 얻을 수 있었다.