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Erschienen in:
Large-range Bridge Beam-gap Displacement Sensors Based on Cantilever Beam with Fiber Bragg Grating Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Research Progress on Artificial Intelligence Human Sensor

verfasst von : Tianqi Zhao, Aiming Feng, Shangzhong Jin, Yan Shi, Bin Hou, Yongqiang Yan

Erschienen in: Proceedings of 2018 International Conference on Optoelectronics and Measurement

Verlag: Springer Singapore

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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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Literatur
1.
Choi, B.S., Bae, M., Kim, S.H.: CMOS image sensor for extracting depth information using offset pixel aperture technique. In: Proceedings of SPIE 10376, Novel Optical Systems Design and Optimization XX, 103760Y (2017)
2.
Li, F., Xin, L., Liu, Y.: High efficient optical remote sensing images acquisition for nano-satellite-framework. In: Proceedings of SPIE 10423, Sensors, Systems, and Next-Generation Satellites XXI, 104231Q (2017)
3.
Guerrero, E., Aguirre, J., Sánchez-Azqueta, C.: Equalizing Si photodetectors fabricated in standard CMOS processes. In: Proceedings of SPIE 10249, Integrated Photonics: Materials, Devices, and Applications IV, 102490N (2017)
4.
Seo, M.W., Shirakawa, Y., Kagawa, K.: A high performance multi-tap CMOS lock-in pixel image sensor for biomedical applications. In: Proceedings of SPIE 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II, 100760V (2017)
5.
Ma, J., Masoodian, S., Starkey, D.: Photon-number-resolving megapixel image sensor at room temperature without avalanche gain. Optica 4(12), 1474–1481 (2017)CrossRef
6.
Dutton, N.A.W., Parmesan, L., Holmes, A.J.: 320×240 oversampled digital single photon counting image sensor. In: Proceedings of the IEEE Symposium on VLSI Circuits Digest of Technical Papers (2014)
7.
Manz, J., Dehe, A., Schrag, G.: Modeling high signal-to-noise ratio in a novel silicon MEMS microphone with comb readout. In: Proceedings of SPIE 10246, Smart Sensors, Actuators, and MEMS VIII, 1024608 (2017)
8.
Yoo, I., Sim, J., Yang, S.: Development of capacitive MEMS microphone based on slit-edge for high signal-to-noise ratio. In: Proceedings of 2018 IEEE Micro Electro Mechanical Systems (MEMS), 17749094 (2018)
9.
Walser, S., Siegel, C., Winter, M.: MEMS microphones with narrow sensitivity distribution. Sens. Actuators A 247, 663–670 (2016)CrossRef
10.
Wang, Z., Zou, Q.B., Song, Q.L.: The era of silicon MEMS microphone and look beyond. In: Proceedings of 2015 Transducers - 2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), 15362431 (2015)
11.
Tiete, J., Domínguez, F., Silva, B.D.: Sound compass: a distributed MEMS microphone array-based sensor for sound source localization. Sensors 14(2), 1918–1949 (2014)CrossRef
12.
Turqueti, M., Oruklu, E., Saniie, J.: Smart acoustic sensor array system for real-time sound processing applications. In: Smart Sensors and MEMs Intelligent Devices and Microsystems for Industrial Application, pp. 492–517 (2014)CrossRef
13.
Alessandro, P., Luca, F., Roberto, S.: Wearable speech enhancement system based on MEMS microphone array for disabled people. In: Proceedings of 2015 10th International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 15220405 (2015)
14.
Skordilis, Z.I., Tsiami, A., Maragos, P.: Multichannel speech enhancement using MEMS microphones. In: Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15361564 (2015)
15.
McDowell, G.R., Holmes-Smith, A.S., Uttamlal, M.: A robust and reliable optical trace oxygen sensor. In: Proceedings of SPIE 10231, Optical Sensors 2017, 102310T (2017)
16.
Ma, W.W., He, Y.L., Zhao, Y.F.: CO2 sensing at atmospheric pressure using fiber Fabry-Perot interferometer. In: Proceedings of SPIE. 10231, Optical Sensors (2017)
17.
Chmela, O., Sadílek, J., Samà, J.: Nanosensor array systems based on single functional wires selectively integrated and their sensing properties to C2H6O and NO2. In: Proceedings of SPIE. 10248, Nanotechnology VIII (2017)
18.
Shi, C., Li, Z.L., Ren, W.: Experimental and modeling study of off-beam quartz-enhanced photoacoustic detection of nitrogen monoxide (NO) using a quantum cascade laser. In: Proceedings of SPIE 10025, Advanced Sensor Systems and Applications VII, 100250L (2016)
19.
Fisser, M., Badcock, R.A., Teal, P.D.: Development of hydrogen sensors based on fiber Bragg grating with a palladium foil for online dissolved gas analysis in transformers. In: Proceedings of SPIE 10329, Optical Measurement Systems for Industrial Inspection X, 103292P (2017)
20.
Bierer, B., Dinc, C., Gao, H., Wöllenstein, J.: MEMS-based array for hydrogen sulfide detection employing a phase transition. In: Proceedings of SPIE 10246, Smart Sensors, Actuators, and MEMS VIII, 102460D (2017)
21.
Schmitt, K., Tarantik, K., Pannek, C.: Colorimetric sensor for bad odor detection using automated color correction. In: Proceedings of SPIE 10246, Smart Sensors, Actuators, and MEMS VIII, 102461F (2017)
22.
Lupan, O., Adelung, R., Postica, V.: UV radiation and CH4 gas detection with a single ZnO:Pd nanowire. In: Proceedings of SPIE. 10105, Oxide-based Materials and Devices VIII (2017)
23.
Mitsubayashi, K., Chien, P.J., Ye, M.: Fluorometric biosniffer (biochemical gas sensor) for breath acetone as a volatile indicator of lipid metabolism. In: Proceedings of SPIE 10013, SPIE BioPhotonics Australasia, 100131T (2016)
24.
Fuchs, F., Hugger, S., Jarvis, J.P.: Hyperspectral imaging for standoff trace detection of explosives using quantum cascade lasers. In: Proceedings of SPIE. 10111, Quantum Sensing and Nano Electronics and Photonics XIV (2017)
25.
Lee, S., Noh, T.G., Choi, J.H.: NIR spectroscopic sensing for point-of-need freshness assessment of meat, fish, vegetables and fruits. In: Proceedings of SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021708 (2017)
26.
Maas, D., Muilwijk, P., Putten, M.: Lab- and field-test results of MFIG, the first real-time vacuum-contamination sensor. In: Proceedings of SPIE 10145, Metrology, Inspection, and Process Control for Microlithography XXXI, 101452I (2017)
27.
Gul, S., Martin, S., Cassidy, J.: Development of sensitive holographic devices for physiological metal ion detection. In: Proceedings of SPIE 10354, Nanoengineering: Fabrication, Properties, Optics, and Devices XIV, 103540C (2017)
28.
Deng, S.J., McAuliffe, M.A.P., Salaj-Kosla, U.: A pH sensing system using fluorescence-based fibre optical sensor capable of small volume sample measurement. In: Proceedings of SPIE 10110, Photonic Instrumentation Engineering IV, 101101C (2017)
29.
Novák, J., Laurenčíková, A., Hasenohrl, S.: Methanol sensor for integration with GaP nanowire photocathode. In: Proceedings of SPIE 10248, Nanotechnology VIII, 102480E (2017)
30.
Galatus, R., Feier, B., Cristea, C.: SPR based hybrid electro-optic biosensor for β-lactam antibiotics determination in water. In: Proceedings of SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 104050C (2017)
31.
Lee, J., Lee, H., Kim, M.: Rapid detection of parasite in muscle fibers of fishes using a portable microscope imaging technique. In: Proceedings of SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX (2017)
32.
Fajkus, M., Nedoma, J., Martinek, R.: Fiber optic sensor encapsulated in polydimethylsiloxane for heart rate monitoring. In: Proceedings of SPIE 10208, Fiber Optic Sensors and Applications XIV, 102080W (2017)
33.
Ke, J.Y., Chu, H.J., Hsu, Y.H.: A highly flexible piezoelectret-fiber pressure sensor based on highly aligned P(VDF-TrFE) electrospun fibers. In: Proceedings of SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101642X (2017)
34.
Li, Y.Q., Huang, P., Zhu, W.B., Fu, S.Y., Hu, N., Liao, K.: Flexible wire-shaped strain sensor from cotton thread for human health and motion detection. Scientific Reports 7, 45013 (2017)
35.
Yin, J.Z., Santos, V.J., Posner, J.D.: Bioinspired flexible microfluidic shear force sensor skin. Sens. Actuators A 264, 289–297 (2017)CrossRef
36.
Qian, M.Y., Yu, Y.L., Ren, N.K.: Sliding sensor using fiber Bragg grating for mechanical fingers. Opt. Express 26(1), 254–264 (2018)CrossRef
37.
Chen, H.T., Song, Y., Guo, H.: Hybrid porous micro structured finger skin inspired self-powered electronic skin system for pressure sensing and sliding detection. Nano Energy 51, 496–503 (2018)CrossRef
38.
Lee, D.H., Kim, U., Jung, H.: A capacitive-type novel six-axis force/torque sensor for robotic applications. IEEE Sens. J. 16(8), 2290–2299 (2016)CrossRef
39.
Phan, T.P., Chao, P.C.P., Cai, J.J.: A novel 6-DOF force/torque sensor for COBOTs and its calibration method. In: Proceedings of 2018 IEEE International Conference on Applied System Invention (ICASI), 17861840 (2018)
40.
Peng, Z.Z., Wang, L., Yan, H.H.. Research on high-temperature sensing characteristics based on modular interference of single-mode multimode single-mode fiber. In: Proceedings of SPIE 10025, Advanced Sensor Systems and Applications VII, 1002519 (2016)
41.
Sampath, U., Kim, D., Song, M.: Coupled-fiber Bragg grating sensor structure for cryogenic conditions. In: Proceedings of SPIE 10374, Optical Modeling and Performance Predictions IX, 1037408 (2017)
42.
Xu, J., Bertke, M., Li, X.: Gravimetric humidity sensor based on ZnO nanorods covered piezoresistive Si microcantilever. In: Proceedings of SPIE. 10246, Smart Sensors, Actuators, and MEMS VIII (2017)
43.
Lu, N.S., Ameri, S.K., Ha, T.: Epidermal electronic systems for sensing and therapy. In: Proceedings of SPIE 10167, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017, 101670J (2017)
44.
Yang, T.T., Xie, D., Li, Z.H.: Recent advances in wearable tactile sensors: materials, sensing mechanisms, and device performance. Mater. Sci. Eng. R 115, 1–37 (2017)CrossRef
Metadaten
Titel
Research Progress on Artificial Intelligence Human Sensor
verfasst von
Tianqi Zhao
Aiming Feng
Shangzhong Jin
Yan Shi
Bin Hou
Yongqiang Yan
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Proceedings of 2018 International Conference on Optoelectronics and Measurement

Print ISBN: 978-981-13-8594-0

Electronic ISBN: 978-981-13-8595-7

Copyright-Jahr: 2020

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

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