摘要
介绍使用半导体气体传感器阵列感觉自然界各类物质气味,而后通过传感器阵列与神经网络软件的接口进行转换,再用BP神经网络算法进行数据处理与信息融合。在通过互联网或3G移动通信网络进行多媒体传输的基础上,废弃使用气味合成发生器的传统方法,研究以超声波直接传导到人类大脑嗅觉感应中心的方式来实现嗅觉传输不经过人类鼻腔的直接传输模式,通过互联网达到超远距离进行嗅觉传输的目的。进行的研究与探索试图通过实验证明基于手机(移动终端)平台的嗅觉传输的可行性,以为阐明气味复现机制、揭示机器嗅觉规律、以人工神经网络组成为基础为全球范围提供嗅觉、味觉、触觉的互联网及移动通信网络传导提供思路。
By semiconductor gas sensor array to feel all kinds of substances nature odor, we use the sensor array and the neural network software interface and conversion BP neural network algorithm for data processing and information fusion. On the basis of the multimedia transmission via the Internet or 3G mobile communication network, we will not use traditional methods of odor synthesis generator, to achieve the purpose of ultra-long-range olfactory transmission. It is posible to research ultrasonic direct conduction to the center of the human brain olfactory sensing mode, to achieve olfactory transmission direct transmission mode. Explore and experiment to prove the feasibility of the olfactory transmission on mobile phones(mobile terminal) and reproduction mechanism to elucidate the smell, will reveal the significance of machine olfactory law, will provide ideas to human sense of smell, taste, touch on worldwide Internet and mobile com- munication network conduction.
出处
《计算机科学》
CSCD
北大核心
2013年第06A期223-227,共5页
Computer Science
基金
西安交通大学城市学院科研项目基金资助
关键词
嗅觉
网络
传输
气体传感器
电子鼻
手机
BP神经网络
多媒体
研究
Olfactory, Network, Transmission, Gas sensors, Electronic noses, Cell phones, BP neural network, Multimedia, Research