Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor

Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor
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DOI:
10.1162/pres.16.3.307
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发表时间:
2007-06
期刊:
PRESENCE: Teleoperators and Virtual Environments
影响因子:
--
通讯作者:
Takao Yamanaka;N. Nimsuk;T. Nakamoto
Takao Yamanaka;N. Nimsuk;T. Nakamoto
中科院分区:
其他
文献类型:
--
作者:
Takao Yamanaka;N. Nimsuk;T. Nakamoto

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本文提出了一种利用电子鼻技术同时记录和再现视觉和嗅觉信息的方法。为了实现这一目标,在大气中的气味的传感器响应模式进行了测量,使用QCM(石英晶体微天平)气味传感器与部分重叠的特异性。然后,气味识别的响应模式,使用学习矢量量化(LVQ),一种模式分类算法的神经网络与监督学习。视觉信息,作为一部电影,被捕获使用数码摄像机,同时,气味使用气味传感器响应配对的视频。记录的视觉和嗅觉信息进行了评估的感官测试,以调查所提出的系统的有效性。结果,发现使用所提出的方法记录的嗅觉信息适合于与电影相关的气味再生。
In this paper, a method of concurrent recording and regeneration of visual and olfactory information is presented using electronic nose technology. To accomplish this objective, the sensor response patterns of odors in the atmosphere were measured using QCM (quartz crystal microbalance) odor sensors with partially overlapping specificities. Then the odors were identified from the response patterns using LVQ (learning vector quantization), a pattern classification algorithm of neural networks with supervised learning. Visual information, presented as a movie, was captured using a digital video camera; concurrently, odors using odor sensor responses were paired to the video. The recorded visual and olfactory information was evaluated by sensory tests to investigate the effectiveness of the proposed system. As a result, it was found that the olfactory information recorded using the proposed method was appropriate for odor regeneration associated with the movie.