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Research Progress on Artificial Intelligence Human Sensor

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Proceedings of 2018 International Conference on Optoelectronics and Measurement

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 567))

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Abstract

The artificial intelligence technology has achieved great progress recently and has potential in the applications of military, intelligent industry, transportation and logistics, intelligent security check, national security, biomedicine, intelligent agriculture, intelligent services, and so on. Human-like sensor and algorithm are two pillars of artificial intelligence technology, corresponding to the ‘senses’ and ‘brains’ of intelligent machines, respectively. Based on traditional sensor technology, the artificial intelligence human-like sensor combines the novel complementary metal oxide semiconductor (CMOS), micro-electro-mechanical systems (MEMS), nanotechnology, big data and cloud computing, Internet technology, and so on, leading to the great improvement of the sensors performance. In this paper, the artificial intelligence human perception is divided into five categories: vision, hearing, smell, taste, and touch, and corresponding research progress and application of the sensors were introduced.

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Author information

Authors and Affiliations

  1. China Jiliang University, Hangzhou, China

    Tianqi Zhao, Aiming Feng, Shangzhong Jin, Yan Shi, Bin Hou & Yongqiang Yan

Authors
  1. Tianqi Zhao
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  2. Aiming Feng
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  3. Shangzhong Jin
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  4. Yan Shi
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  5. Bin Hou
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  6. Yongqiang Yan
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Corresponding authors

Correspondence to Aiming Feng or Shangzhong Jin .

Editor information

Editors and Affiliations

  1. China Jiliang University, Xiasha, Hangzhou, Zhejiang, China

    Yingquan Peng

  2. China Jiliang University, Xiasha, Hangzhou, Zhejiang, China

    Xinyong Dong

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Zhao, T., Feng, A., Jin, S., Shi, Y., Hou, B., Yan, Y. (2020). Research Progress on Artificial Intelligence Human Sensor. In: Peng, Y., Dong, X. (eds) Proceedings of 2018 International Conference on Optoelectronics and Measurement. Lecture Notes in Electrical Engineering, vol 567. Springer, Singapore. https://doi.org/10.1007/978-981-13-8595-7_35

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  • DOI: https://doi.org/10.1007/978-981-13-8595-7_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8594-0

  • Online ISBN: 978-981-13-8595-7

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