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研究生:張翔碩
研究生(外文):CHANG,HSIANG-SHUO
論文名稱:利用人工智慧協助人體步態雷達之辨識
論文名稱(外文):Artificial Intelligence Base On Human Gait Radar Classification
指導教授:張嘉展
口試委員:張盛富張嘉展吳建華林士程
口試委員(外文):Sheng-Fuh ChangChia-Chan ChangJanne-Wha WuShih-Cheng Lin
口試日期:2020-01-20
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:51
中文關鍵詞:督卜勒雷達步態機器學習神經網路捲積神經網路
外文關鍵詞:Doppler radargatemachin learningneural networkconcolution neural network
相關次數:
  • 被引用被引用:1
  • 點閱點閱:213
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摘要 2
ABSTRACT 3
目錄 4
圖目錄 6
表目錄 8
第一章 序論 9
1.1 研究動機與背景 9
1.2 利用人工智慧協助人體步態雷達之辨識文獻探討 13
1.2.1 利用頻率調變連續波雷達與深度捲積神經網路來判斷手勢 13
1.2.2 利用捲積神經網路協助與雷達時頻圖分辨人體的運動 16
1.2.3 時頻圖與機器學習的結合 17
1.3 論文架構與貢獻 19
第二章 雷達系統與動作分析 20
2.1 二維都卜勒雷達系統介紹 20
2.1.1 巴特矩陣勒 22
2.2 量測環境 23
2.3 動作分析 29
第三章 開發環境與演算法原理 31
3.1 開發程式與環境選擇 31
3.2 機器學習 32
3.3 激發函數 39
3.4 損失函數 40
第四章 實驗結果與人體步態分析 42
4.1 量測動作 43
4.2 分類結果 46
第五章 結論與未來展望 48
參考文獻 49


[1]L. P. Gotz and J. D. Albright, “Airborne Pulse Doppler Radar”, IRE Transactions on Military Electronics, 1961 , pp.116-126.
[2]J. Peng, Y. Ma, G. Gong and L. Han, "Real-Time Detection Performance of Airborne Pulse Doppler Radar," 2009 International Conference on Information Engineering and Computer Science, Wuhan, 2009, pp. 1-4.
[3]J. L. Reed, A. D. Lanterman and J. M. Trostel, "Weather radar: Operation and phenomenology," in IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 7, pp. 46-62, July 2017.
[4]M. Yeary, B. L. Cheong, J. M. Kurdzo, T. Yu and R. Palmer, "A brief overview of weather radar technologies and instrumentation," in IEEE Instrumentation & Measurement Magazine, vol. 17, no. 5, pp. 10-15, Oct. 2014.
[5]S. V. Nghiem and P. C. Colon "\Artic sea ice mapping with satellite radar," in 2008, IEEE radar conference, Rome, Italy, 2008, pp. 1-3.
[6]J. Li, L. Liu, Z. Zeng and F. Liu, "Advanced Signal Processing for Vital Sign Extraction With Applications in UWB Radar Detection of Trapped Victims in Complex Environments," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 3, pp. 783-791, March 2014.
[7]Y. Su, C. Chang, J. Kuo and S. Chang, "Design of a short-range radar system for wing-beat frequency detection," 2015 IEEE MTT-S International Microwave Symposium, Phoenix, AZ, 2015, pp. 1-3.
[8]中央氣象局https://www.cwb.gov.tw/V7/observe/radar/
[9]Y. Park, T. Netoff and K.Parhi, " Seizure prediction with spectral power of time/spacedifferential EEGsignalusing cost-sensitive support vector machine ," 2010EEE MTT-S International Conference on Acoutics, Dallas, TX, USA, pp. 5450-5453
[10]B. Jokamovic, M. Amin and B. Erol, "Multiple joint-variable domains recognition of human motion ," 2017 IEEE Radar Conference, Seattle, EA, USA, pp. 0948-0952
[11]A. Sona, G. Giorgi and R. Ricci, "A measurement approach based on micro-doppler maps for human motion analysis and detection," 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings, Graz, 2012, pp. 354-359.
[12]S. Björklund, T. Johansson and H. Petersson, "Evaluation of a micro-Doppler classification method on mm-wave data," 2012 IEEE Radar Conference, Atlanta, GA, 2012, pp. 0934-0939.
[13]Y. S. Koo, L. Ren, Y. Wang and A. E. Fathy, "UWB MicroDoppler Radar for human Gait analysis, tracking more than one person, and vital sign detection of moving persons," 2013 IEEE MTT-S International Microwave Symposium Digest (MTT), Seattle, WA, 2013, pp. 1-4.
[14]S. S. Ram, Y. Li, A. Lin and H. Ling, "Human Tracking Using Doppler Processing and Spatial Beamforming," 2007 IEEE Radar Conference, Boston, MA, 2007, pp. 546-551.
[15]Y. Ding and J. Tang, "Micro-Doppler Trajectory Estimation of Pedestrians Using a Continuous-Wave Radar," in IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 9, pp. 5807-5819, Sept. 2014.
[16]S. Z. Gürbüz, B. Tekeli, M. Yüksel, C. Karabacak, A. C. Gürbüz and M. B. Guldogan, "Importance ranking of features for human micro-Doppler classification with a radar network," Proceedings of the 16th International Conference on Information Fusion, Istanbul, 2013, pp. 610-616.
[17]Y. Wang, Q. Liu and A. E. Fathy, "CW and Pulse–Doppler Radar Processing Based on FPGA for Human Sensing Applications," in IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 5, pp. 3097-3107, May 2013.
[18]Y. Li, R. Pal and C. Li, "Detection and classification of lung abnormalities by use of convolutional neural network (CNN) and regionswith CNNfeature (R-CNN)," 2018 International Workshop on Advanced Image Technology, Chiang, Mai, Thailand, 2018, pp. 1-4.
[19]H. Yanagisawa, T. Yamashita, and H. Watanabe, "A study on object detection method from manga images using CNN ," 2018 International Workshop on Advanced Image Technology, Chiang, Mai,Thailand, 2018, pp. 1-4.
[20]X. Shi, F. Zhou, M. Tao and Z. Zhang, "Human Movements Separation Based on Principle Component Analysis ," 2016 15th International Conferenceon Frontier in Handwriting recogonition, Shenzhen,China, 2016, pp. 162-167.
[21]B. Dekker, S. Jacobs, M.C. Kruithof, A.G. Huizing and M. Geurts, "Gesture recognition with a low power FMCW radar and a deep convolutional neural network ," 2017 European Radar Conference, Nurmberg,Germany 2017, pp. 163-166.
[22]Y. He, Y. Yang, Y.Lang, D. Huand and C. Hou, "Deep Learning based Human Activity Classification in Radar Micro-Doppler Image ," 2018 15th European Radar conference, Madrid,Spain 2018, pp. 230-233.
[23]M.S. Seyfioğlu, A.M. Özbayoğlu, and S.Z. Gürbüz , "Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities," in IEEE Transactions on Aerospace and Electronic System, vol. 54, pp. 1709-1723, Aug, 2018

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