• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.229-232
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• 2013

영상실감증대를 위한 시각, 청각정보의 제시방식에 대해서는 많은 진보가 이루어 졌다. 반면 후각은 정의하기 어렵고 다루기 까다롭기 때문에 관련연구를 찾아보기 어렵다. 본 연구에서는 후각정보를 통한 영상실감증대 연구의 첫걸음으로 후각정보에 대한 사용자 수용도를 조사한 후 이에 근거하여 다양한 영상을 분류하였다. 이를 위해 먼저 영상에 냄새가 존재하는지 (냄새존재여부), 영상과 함께 해당 냄새를 경험하고 싶은지 (냄새제시선호), 영상에 어울리는 냄새가 내가 좋아하는 냄새인지 (냄새자체선호), 그리고 영상에 어울리는 냄새가 얼마나 구체적인지 (냄새의 구체성)라는 네 가지 질문을 선정하였다. 각 질문들에 높은 혹은 낮은 점수를 받을 만한 다양한 장르의 영상 (51)개를 수집한 후, 참가자들에게 하나씩 영상을 시청하게 한 후 위의 네 가지 질문에 대해 7점 척도로 평정하게 하였다. 영상분류를 위해 두 질문씩 쌍으로 묶어 각 질문의 척도를 2차원 평면의 X, Y축으로 설정한 후 평정값을 이용하여 영상분류를 위한 산포도를 구성하였다. 2차원 평면의 서로 다른 사분면에 위치한 영상군집들은 영상실감증대를 위한 후각정보 제시에 중요한 시사점을 줄 것으로 기대한다.

• Journal of the HCI Society of Korea
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• v.8 no.2
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• pp.9-19
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• 2013

There has been much advancement in reality enhancement using audio-visual information. On the other hand, there is little research on provision of olfactory information because smell is difficult to implement and control. In order to obtain necessary basic data when intend to provide smell for video reality, in this research, we investigated user perception of smell in diverse videos and then classified the videos based on the collected user perception data. To do so, we chose five main questions which were 'whether smell is present in the video'(smell presence), 'whether one desire to experience the smell with the video'(preference for smell presence with the video), 'whether one likes the smell itself'(preference for the smell itself), 'desired smell intensity if it is presented with the video'(smell intensity), and 'the degree of smell concreteness'(smell concreteness). After sampling video clips of various genre which are likely to receive either high and low ratings in the questions, we had participants watch each video after which they provided ratings on 7-point scale for the above five questions. Using the rating data for each video clips, we constructed scatter plots by pairing the five questions and representing the rating scale of each paired questions as X-Y axes in 2 dimensional spaces. The video clusters and distributional shape in the scatter plots would provide important insight into characteristics of each video clusters and about how to present olfactory information for video reality.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.175-176
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• 2001

악취는 대기오염의 한 형태이며, 대개는 신체적 장해가 나타나기 이하의 농도에서 피해가 두드러지는 것으로 대기오염의 전구적 현상이라고도 할 수 있다. 현재 알려져 있는 화합물은 약 200만 가지로, 그 중에 약 40만종이 냄새가 있다고 한다. 냄새는 후각을 화학적으로 자극하여 원거리 정보를 전달하는 매체로, 후각은 냄새의 질과 세기를 종합적 혹은 분석적으로 식별하는 역할을 맡고 있다고 할 수 있다. 냄새 물질은 여러 가지 특성을 갖는데, 대부분의 악취는 특정한 몇 가지 냄새나는 물질에 의한 것이 아니라, 많은 물질을 포함하는 다성분계이다. (중략)

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.9-14
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• 2010

In this paper, we propose method of correlation coefficients between sensors by statistical analysis that selects optimal sensors in odor recognition system of selective multi-sensors. The proposed sensor decision method obtains odor data from Metal Oxide Semiconductor(MOS) sensor array and then, we decide optimal sensors based on correlation of obtained odors. First of all, we select total number of 16 sensors eliminated sensor of low response and low reaction rate response among similar sensors. We make up DB using 16 sensors from input odor and we select sensor of low correlation after calculated correlation coefficient of each sensor. Selected sensors eliminate similar sensors' response therefore proposed method are able to decide optimal sensors. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition using correlation coefficient obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 94.67% using six sensors and 96% using only 8 sensors.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.49-54
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• 2011

In this paper, we represent a mobile robot which can recognize chemical odor, measure concentration, and track its source indoors. The mobile robot has the function of smell that can sort several gases in experiment such as ammonia, ethanol, and their mixture with neural network algorithm and measure each gas concentration with fuzzy rules. In addition, it can not only navigate to the desired position with vision system by avoiding obstacles but also transmit odor information and warning messages earned from its own operations to other nodes by multi-hop communication in wireless sensor network. We suggest the way of odor sorting, concentration measurement, and source tracking for a mobile robot in wireless sensor network using a hybrid algorithm with vision system and gas sensors. The experimental studies prove that the efficiency of the proposed algorithm for odor recognition, concentration measurement, and source tracking.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.207-220
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• 2013

For video reality improvement, there has been much advancement in the methods of providing visual, auditory, and tactile information. On the other hand, there is little research on olfaction for video reality because it is difficult to define and knotty to manipulate. As a first step for video reality improvement using olfactory information, this research investigated users' acceptability of smell when they watch videos of various kinds and then classified the video clips based on their acceptability of different criteria. To do so, we first selected three questions of whether the scene in the video appears to have an odor (odor presence), whether a matching odor is likely to improve a sense of reality (effect on sense of reality), and whether s/he would like a matching odor to be present (preference for the matching odor). Then after collecting 51 video clips of various genres that would receive either high or low ratings for the questions above, we had participants to watch the videos and rate them for the above three questions on 7-point scale. For video classification, we paired each two questions to construct 2D space to draw scatterplot of video clips where the scales of the two questions represent X or Y axis. Clusters of video clips that locate at different quadrants of the 2D space would provide important insights in providing olfactory information for video reality improvement.

• Science of Emotion and Sensibility
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• v.17 no.1
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• pp.39-52
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• 2014

Use of vision and audition for video reality has made much advancement. However use of olfaction, which is effective in inducing emotion, has not yet been realized due to technical limitations and lack of basic research. In particular it is difficult to fabricate many odors required for each different video. One way to resolve this is to discover clusters of odors of similar smell and to use representative odor for each cluster. This research explored clusters of odors based on pairwise similarity ratings. 300 diverse odors were first collected and sorted them into 11 categories. We selected 152 odors based on their frequency, preference, and concreteness. Participants rated similarity on 1,018 pairs of odors from selected odors and the results were analyzed using multi-dimensional scaling (MDS). Based on the idea that low odor concreteness would support valid use of representative odor, the MDS results are presented from low to high smell concreteness. First, flowers, plants, fruits, and vegetables was classified under the easy categories to use representative odor due to their low smell concreteness (Figure 1). Second, chemicals, personal cares, physiological odors, and ordinary places was classified under the careful categories of using it due to their intermediate concreteness (Figure 2). Finally, food ingredients, beverages, and foods was classified under the difficult categories to use it because of their high concreteness (Figure 3). The results of this research will contribute to reduction of cost and time in odor production and provision of realistic media service to customers at reasonable price.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.130-132
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• 2018

후각과 관련된 연구가 활발해짐에 따라 응용 분야도 동시에 넓어지고 있다. 공기 중에 돌아다니는 자연적인 냄새뿐만 아니라 특정 약물의 화학적 성분을 분석하는 방식을 신경망 알고리즘을 이용해 구분하고 퍼지 추론 방식으로 농도를 측정하고 경로 탐색 알고리즘과 DIY드론을 이용하여 약물의 위치를 탐지하게 하는 것이 최종 목표이다.

• KOREAN POULTRY JOURNAL
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• v.48 no.12
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• pp.163-163
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• 2016

• Bulletin of Korea Environmental Preservation Association
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• v.12 no.20
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• pp.50-51
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• 1990