NCKU EE 教師個人頁面
English Version
王振興 特聘教授
地址
電機系館8樓92815室
TEL
+886-6-2757575 ext.62378
實驗室網站連結
學經歷
學歷
2001
美國 普渡大學 Electrical and Computer Engineering PhD
1997
美國 密蘇里大學哥倫比亞分校 Electrical Engineering MSEE
1996
美國 密蘇里大學哥倫比亞分校 Electrical Engineering BSEE
經歷
2015/08~迄今
國立成功大學 電機工程學系(所) 特聘教授
2011/08~2015/08
國立成功大學 電機工程學系(所) 教授
2007/08-2011/07
國立成功大學 電機工程學系(所) 副教授
2002/01-2007/07
國立成功大學 電機工程學系(所) 助理教授
研究領域
  • 穿戴式裝置
  • 生理訊號處理
  • 學習系統晶片設計
  • 智慧型控制
  • 計算型智能
  • 最佳化理論
  • 資料探勘
著作
期刊論文( Journal )
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  1. Yu-Liang Hsu, Jeen-Shing Wang, Wei-Chun Chiang, and Chien-Han Hung, "Automatic ECG-based emotion recognition in music listening," accepted by IEEE Transactions on Affective Computing, Nov, 2017.
  2. Yen-Chin Chen, Cheng-Yu Lin, Carol Strong, Chung-Yi Li, Jeen-Shing Wang, Wen-Chien Ko, and Nai-Ying Ko, “Sleep disturbances at the time of a new diagnosis: a comparative study of human immunodeficiency virus patients, cancer patients, and general population controls,” Sleep Medicine, vol. 36, pp. 38-43, 2017.
  3. Jia-Jen Chen, Li-Fan Liu, Jeen-Shing Wang, and Ting-Ting Chang, “A Pilot Study Exploring the Relationship between Short-Term HRV and Self-Rated Health Status among Elderly People,” accepted by Archives of Community Medicine and Public Health, March 2017.
  4. Yu-Liang Hsu, Jeen-Shing Wang, and Che-Wei Chang, “A Wearable Inertial Pedestrian Navigation System with Quaternion-Based Extended Kalman Filter for Pedestrian Localization,” accepted by IEEE Sensors Journal, Feb. 19, 2017.
  5. Yu-Liang Hsu, Cheng-Ling Chu, Yi-Ju Tsai, and Jeen-Shing Wang, “An inertial pen with dynamic time warping recognizer for handwriting and gesture recognition,”  IEEE Sensors Journal, vol. 15, no. 1, pp. 154-163, 2014.
  6. Yu-Liang Hsu, Pau-Choo Chung, Wei-Hsin Wang, Ming-Chyi Pai, Chun-Yao Wang, Chien-Wen Lin, Hao-Li Wu, and  Jeen-Shing Wang, “Gait and balance analysis for patients with Alzheimer’s disease using an inertial-sensor-based wearable instrument,” IEEE Journal of Biomedical and Health Infomatics, vol. 18, no. 6, pp. 1822-1830, 2014.
  7. Yu-Ching Lin, Yu-Liang Hsu,  Jeen-Shing Wang, Yi-Ju Tsai, and Shu-Min Chen, “Reliability of a novel wearable inertial sensing instrument for shoulder range of motions measurement,” Journal of Rehabilitation Medicine, vol. 45, no. 53, pp. 188, 2013.
  8. Jeen-Shing Wang, Wei-Chun Chiang, Yu-Liang Hsu, and Ya-Ting C. Yang, “ECG Arrhythmia Classification Using a Probabilistic Neural Network with a Feature Reduction Method,”  Neurocomputing, vol. 116, pp. 38-45, 2013.
  9. Jeen-Shing Wang, Che-Wei Lin, and Ya-Ting C. Yang, “A K-Nearest-Neighbor Classifier with Heart Rate Variability Feature-based Transformation Algorithm for Driving Stress Recognition,”  Neurocomputing, vol. 116, pp. 136-143, 2013.
  10. Yu-Liang Hsu, Ya-Ting Yang, Chung-Yao Hsu, and Jeen-Shing Wang, “Automatic Sleep Stage Recurrent Neural Classifier Using Energy Features of EEG Signals,”  Neurocomputing,  vol. 104, pp. 105-114, 2013.
  11. Shihong Yue, Huaxiang Wang, and  Jeen-Shing Wang, “Designs and Applications of Information Fusion Control System,” Transactions of the Institute of Measurement and Control, vol. 35, no. 5, pp. 630-636, 2013.
  12. Tingna Shi,  Jeen-Shing Wang, Penglong Wang, and Shihong Yue, “Application of grid-based K-means clustering algorithm for optimal image processing,” Computer Science and Information Systems, vol. 9, no. 4, pp. 1679-1696, 2012.
  13. Che-Wei Lin,  Jeen-Shing Wang, Yi-Ching Yang, and Ya-Ting C. Yang, “A Wearable Sensor Module with a Neural-Network-based Activity Classification Algorithm for Daily Energy Expenditure Estimation,”  IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 5, pp. 991-998, 2012.
  14. Jeen-Shing Wang, Che-Wei Lin, Yu-Jen Ho, and Ya-Ting Yang, “Walking Pattern Classification and Movement Distance Estimation Algorithms Using Gait Phase Information,” IEEE Transactions on Biomedical Engineering, vol. 59, no. 10, pp. 2884-2892, 2012.
  15. Yu-Ching Lin, Yu-Liang Hsu, Yi-Ju Tsai, Jeen-Shing Wang, and Shu-Min Chen, “Wearable inertial sensing instrument for measuring shoulder range of motions,” Journal of Rehabilitation Medicine, vol. 44, no. 52, pp. 72, 2012.
  16. Jeen-Shing Wang and Fang-Chen Chuang, “An Accelerometer-Based Digital Pen with a Trajectory Recognition Algorithm for Handwritten Digit and Gesture Recognition,” IEEE Transactions on Industrial Electronics, vol. 59, no. 7, pp. 2998-3007, 2012.
  17. Yu-Liang Hsu, Lun-Chia Kuo, Ping-En Cheng, Che-Wei Chang, Jen-Chieh Chiang, and Jeen-Shing Wang, “MEMS Inertial-Sensor-Based Pedestrian Navigation System,” ICL TECHNICAL JOURNAL, vol. 143, pp. 27-34, 2012.
  18. Jeen-Shing Wang, Ya-Ting C. Yang, Wei-Chun Chiang, and Che-Wei Lin, “Using a Wearable Physical Activity Sensor System for Sleep/Wake States Detection,” Sleep and Biological Rhythms, vol. 9, no. 4, pp. 378, 2011.
  19. Ya-Ting C. Yang, Jeen-Shing Wang, Che-Wei Lin, and Wei-Chun Chiang, “Relations between Sleep Activity Indices and Verran and Snyder-Halpern (VSH) Sleep Scale Using Statistical Analysis,” Sleep and Biological Rhythms, vol. 9, no. 4, pp. 377-378, 2011.
  20. Jeen-Shing Wang and Yu-Liang Hsu, “An MDL-Based Hammerstein Recurrent Neural Network for Control Applications,” Neurocomputing, vol. 74, pp. 315-327, 2010.
  21. Jeen-Shing Wang, Yu-Liang Hsu, and Jiun-Nan Liu, “Inertial-Measurement-Unit-Based Pen with a Trajectory Reconstruction Algorithm and Its Applications,” IEEE Transactions on Industrial Electronics, vol. 57, no. 10, pp. 3508-3521, 2010.
  22. Shihong Yue, Jeen-Shing Wang, Wei Chen, and Huaxiang Wang, “A Grid-Based K-Means Approach for Clustering Analysis,” Science in China Series F: Information Sciences, pp. 1345-1357, no. 7, 2010.
  23. Che-Wei Lin, Jeen-Shing Wang, and Pau-Choo Chung, “Mining Physiological Conditions from Heart Rate Variability Analysis,” IEEE Computational Intelligence Magazine, pp. 50-58, 2010.
  24. Jeen-Shing Wang, Guan-Rong Shih, and Wei-Chun Chiang, “Sleep Stage Classification of Sleep Apnea Patients Using Decision-Tree-Based Support Vector Machines Based on ECG Parameters,” 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, Hong Kong, China, Jan. 6-7.
  25. Yi-Chung Chen and Jeen-Shing Wang, “A Hammerstein-Wiener Recurrent Neural Network with Frequency-Domain Eigensystem Realization Algorithm for Unknown System Identification,” Journal of Universal Computer Science, vol. 15, no. 13, pp. 2547-2565, 2009.
  26. 吳致緯、曾育中、王振興,“智慧型輪型機器人之發展,” Robot World, issue 35, pp. 2-7, Oct. 2009.
  27. 王振興、許煜亮、劉俊男、莊芳甄,“利用微慣性感測訊號進行手寫軌跡重建,” 自動化科技學會會刊, pp. 22-29, September, 2009.
  28. Jeen-Shing Wang and Jen-Chieh Chiang, “An Efficient Data Preprocessing Procedure for SVC Algorithm,” Journal of Universal Computer Science, vol. 15, no.4, pp. 705-721, 2009.
  29. Yu-Liang Hsu and Jeen-Shing Wang, “A Wiener-Type Recurrent Neural Network and Its Control Strategy for Nonlinear Dynamic Applications,” Journal of Process Control, vol. 19, no. 6, pp. 942-953, 2009.
  30. Jeen-Shing Wang, Yu-Liang Hsu, Hung-Yi Lin, and Yen-Ping Chen, “Model Dimension/Order Determination for Recurrent Neural Networks,” Pattern Recognition Letters, vol. 30, no. 4, pp. 812-819, 2009.
  31. Jeen-Shing Wang and Yen-Ping Chen, “A Hammerstein Recurrent Neuro-Fuzzy Network with an Online Minimal Realization Learning Algorithm,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 6, pp. 1597-1612, 2008.
  32. Yen-Ping Chen, Jhun-Ying Yang, Shun-Nan Liou, Gwo-Yun Lee, and Jeen-Shing Wang, “Online Classifier Construction Algorithm for Human Motion Detection Using an Accelerometer,” Applied Mathematics and Computation, vol. 205, no. 2, pp. 849-860, 2008.
  33. Jhun-Ying Yang, Jeen-Shing Wang, and Yen-Ping Chen, “Using Acceleration Measurements for Activity Recognition: An Effective Learning Algorithm for Constructing Neural Classifiers,” Pattern Recognition Letters, vol. 29, no. 16, pp. 2213-2220, 2008.
  34. Shihong Yue, Huaxiang Wang, Jeen-Shing Wang, Miaomiao Wei, and Xin Wang, “A General Grid-Clustering Approach,” Pattern Recognition Letters, vol. 29, no. 9, pp. 1372-1384, 2008.
  35. Jeen-Shing Wang and Yu-Liang Hsu, “Dynamic Nonlinear System Identification Using a Wiener-Type Recurrent Network with OKID Algorithm,” Journal of Information Science and Engineering, vol. 24, no. 3, pp. 891-905, 2008.
  36. Jeen-Shing Wang and Jen-Chieh Chiang, “A Cluster Validity Measure with Outlier Detection for Support Vector Clustering,” IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 38, no. 1, pp. 78-89, 2008.
  37. Jeen-Shing Wang and Jen-Chieh Chiang, “A Cluster Validity Measure with a Hybrid Parameter Search Method for Support Vector Clustering Algorithm,” Pattern Recognition, vol. 41, no. 2, pp. 506-520, 2008.
  38. Jeen-Shing Wang and Yen-Ping Chen, “A Fully Automated Recurrent Neural Network for Unknown Dynamic System Identification and Control,” IEEE Transactions on Circuits and Systems-I, vol. 56, no. 6, pp. 1363-1372, 2006.
  39. Jeen-Shing Wang and C. S. G. Lee, “Self-Adaptive Recurrent Neuro-Fuzzy Control of an Autonomous Underwater Vehicle,” IEEE Transactions on Robotics and Automation, vol. 19, no. 2, pp. 283-295, 2003.
  40. Jeen-Shing Wang and C. S. G. Lee, “Self-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 6, pp. 790-802, 2002.
  41. C. S. G. Lee, Jeen-Shing Wang, and J. Yuh, “Self-Adaptive Neuro-Fuzzy Systems for Autonomous Underwater Vehicle Control,” Advanced Robotics, vol. 15, no. 5, pp. 589-608, 2001.
  42. Jeen-Shing Wang and C. S. G. Lee, “Structure and Learning in Self-Adaptive Neural Fuzzy Inference Systems,” International Journal of Fuzzy Systems, vol. 2, no. 1, pp. 12-22, 2000.
會議論文( Conference )
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  1. Jeen-Shing Wang, Fang-Chen Chuang, and Ya-Ting Yang, “An Energy Expenditure Estimation Algorithm for a Wearable System,” in  the 2015 International Conference on Health Informatics and Medical Systems, pp. 185-191, 2015.
  2. Ya-Ting Yang and Jeen-Shing Wang, “A Pilot Study on the Web-based Health Promotion Program Combined with a Wearable Device to Increase Physical Activity,” in  the 2015 International Conference on Health Informatics and Medical Systems, pp. 178-181, 2015.
  3. Tzu-Ping Kao, Jeen-Shing Wang, and Ya-Ting Yang, “A Sleep Stage Classification Method Using a Hierarchical Synthetic Minority Over-Sampling Random Forest Algorithm,” in  International Conference on Engineering and Applied Sciences, 2015.
  4. Wei-Chun Chiang, Tzu-Ping Kao, and Jeen-Shing Wang, “A Decision-Tree-Based Support Vector Machine for Sleep Stage Classification Using Activity and ECG Features,” in  International Conference on Engineering and Applied Sciences, 2015.
  5. Yu-Ching Lin, Jeen-Shing Wang, Yu-Liang Hsu, Kuan-Lin Chen, and Yi-Ju Tsai, “Validation of a wearable wireless upper limb body sensor network system for quantitative evaluation of upper limb function,” accepted by 9th World Congress of the International Society of Physical and Rehabilitation Medicine, 2015.
  6. Yu-Ching Lin, Jeen-Shing Wang, Yu-Liang Hsu, and Kuan-Lin Chen, “Development and reliability of a wearable upper limb motion sensing instrument for measuring elbow range of motions,” in Asian Prosthetic and Orthotic Scientific Meeting 2014 in conjunction with The Second Meeting of the International Society for Restorative Neurology (APOSM 2014 & ISRN), pp. 1, 2014.
  7. Wei-Chun Chiang, Jeen-Shing Wang, and Yu-Liang Hsu, “A music emotion recognition algorithm with hierarchical SVM based classifiers,” accepted by IEEE International Symposium on Computer, Consumer and Control (IEEE IS3C2014), pp. 1249-1252, 2014.
  8. Jeen-Shing Wang, Yu-Liang Hsu, and Cheng-Ling Chu, “Online Handwriting Recognition Using an Accelerometer-Based Pen Device,” in 2nd International Conference on Advances in Computer Science and Engineering, pp. 229-232, 2013.
  9. Yu-Liang Hsu, Jeen-Shing Wang, Yu-Ching Lin, Yi-Ju Tsai, Shu-Min Chen, Cheng-Ling Chu, and Che-Wei Chang, “A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment,” in IEEE International Conference on Orange Technologies, pp. 328-331, 2013.
  10. 林裕晴、張竣凱、王振興、許煜亮、蔡一如、程琡敏,“新型穿戴式慣性感測儀器於肩關節活動度量測之再測信度評估,” in 102年台灣復健醫學會會員大會暨學術研討會,2013.
  11. Tzu-Ping Kao, Jeen-Shing Wang, and Ya-Ting Yang, “Applying Bootstrap AdaBoost with KNN for Automated Obstructive Sleep Apnea Detection from ECG Recordings,” accepted by the 6th International Symposium on Bio- and Medical Informatics and Cybernetics, Orlando, FL, July, 2012.
  12. Fang-Chen Chuang, Jeen-Shing Wang, and Ya-Ting Yang, “Energy Expenditure Estimation Methods and Performance Comparison,” accepted by the 6th International Symposium on Bio- and Medical Informatics and Cybernetics, Orlando, FL, July, 2012.
  13. Cheng-Ling Chu, Yu-Liang Hsu, Ping-En Cheng, Min-Shen Yan, and Jeen-Shing Wang, “An inertial-sensing-based pen with its dynamic time warping-based recognition algorithm for handwritten digit and gesture recognition,” accepted by 2012 National Symposium on System Science and Engineering.
  14. Jeen-Shing Wang, Yu-Liang Hsu, Che-Wei Chang, and Ping-En Cheng, “A wearable pedestrian navigation system using inertial sensors and a magnetometer,” accepted by 2012 National Symposium on System Science and Engineering.
  15. Yu-Liang Hsu, Min-Shen Yan, and Jeen-Shing Wang, “A wearable body sensor network for real-time human upper limb motion capture application,” accepted by 2012 National Symposium on System Science and Engineering.
  16. Jeen-Shing Wang, Chien-Han Hung, Yi-Hui Lee, and Che-Wei Lin, “A real-time ECG morphology feature based R wave detection Algorithm,” accepted by 2012 National Symposium on System Science and Engineering.
  17. Wei-Chun Chiang, I-Hua Chen, Ya-Ting C. Yang, and Jeen-Shing Wang, “Evaluation of sustained attention using feature parameters extracted from ECG signal,” accepted by 2012 National Symposium on System Science and Engineering.
  18. Tzu-Ping Kao, Jeen-Shing Wang, Che-Wei Lin, Ya-Ting Yang, and Fang-Chen Chuang, “Using Bootstrap AdaBoost with KNN for ECG-based Automated Obstructive Sleep Apnea Detection,” in the 2012 International Joint Conference on Neural Networks, pp. 1-5, July, 2012.
  19. Fang-Chen Chuang, Jeen-Shing Wang, Ya-Ting Yang, and Tzu-Ping Kao, “A wearable activity sensor system and its physical activity classification scheme,” in the 2012 International Joint Conference on Neural Networks, pp. 1-6, July, 2012.
  20. Jeen-Shing Wang, Guan-Rong Shih and Wei-Chun Chiang, “Sleep Stage Classification of Sleep Apnea Patients Using Decision-Tree-Based Support Vector Machines Based on ECG Parameters,” 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, Hong Kong, China, Jan. 6-7.
  21. Che-Wei Lin, Jeffrey Gamble, Ya-Ting Yang, and Jeen-Shing Wang, “Estimating the Influence of Chronotype and Social Zeitgebers on Circadian Rhythms using an Accelerometer-based Sensor Network,” 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, Hong Kong, China, Jan. 6-7.
  22. Jeen-Shing Wang, Fang-Chen Chuang, and Ya-Ting C. Yang, “A Wearable Physical Activity Sensor System: Its Classification Algorithm and Performance Comparison of Different Sensor Placements,” accepted by Lecture Notes in Artificial Intelligence, June, 2011.
  23. Pau-Choo Chung,Jeen-Shing Wang, Yu-Liang Hsu, Chun-Yao Wang, Chien-Wen Lin, Ming-Chyi Pai, and Siang-Shang Jheng, “Development of a wearable gait analysis instrument for patients with Alzheimer's disease” accepted by The Fifth Congress of the Asian Society Against Dementia- Action, Strategies and Developments, 2011.
  24. Jeen-Shing Wang, Wei-Chun Chiang, Ya-Ting C. Yang, and Yu-Liang Hsu, “An Effective ECG Arrhythmia Classification Algorithm,” accepted by Communications in Computer and Information Science, June, 2011.
  25. Jeen-Shing Wang, Che-Wei Lin, and Ya-Ting C. Yang, “Using Heart Rate Variability Parameters and Feature Transformation Driving Stress Recognition,” accepted by Communications in Computer and Information Science, June, 2011.
  26. Jeen-Shing Wang, Che-Wei Lin, Ya-Ting C. Yang, Tzu-Ping Kao, Wei-Hsin Wang, and Yen-Shiun Chen, “An PACE Sensor System with Machine Learning-based Energy Expenditure Regression Algorithm,” accepted by Lecture Notes in Bioinformatics, June, 2011
  27. Jeen-Shing Wang, Ya-Ting Yang, and Che-Wei Lin, “An Activity Recording System with a Radial-Basis-Function-Network-Based Energy Expenditure Regression Algorithm,” Proceedings of the 13th International Conference on Artificial Intelligence, Las Vegas, USA, pp. 798-803, July 18-21, 2011.
  28. Jeen-Shing Wang,Ya-Ting Yang, Chung-Yao Hsu, and Yu-Liang Hsu, “A Recurrent Neural Sleep-Stage Classifier Using Energy Features of EEG Signals,” Proceedings of the 13th International Conference on Artificial Intelligence, pp. 980-983, Las Vegas, USA, July 18-21, 2011.
  29. Jeen-Shing Wang, Che-Wei Lin, Yen-Shun Chen, and Wei-Hsin Wang, “A Difference-Based Data Compression for Daily Activity Signals and Its Realization in an Embedded System,” Proceedings of the 13th International Conference on Embedded Systems and Applications, Las Vegas, USA, pp. 227-230, July 18-21, 2011.
  30. Jeen-Shing Wang, Yu-Liang Hsu, Ping-En Cheng, Lun-Chia Kuo, and Jen-Chieh Chiang, “A Wearable Trajectory Reconstruction System Using Inertial and Magnetic Sensors,” Proceedings of the 13th International Conference on Embedded Systems and Applications, Las Vegas, USA, pp. 220-222, July 18-21, 2011.
  31. Jeen-Shing Wang,Ya-Ting C. Yang, Wei-Chun Chiang, and Che-Wei Lin, “Using a Wearable Physical Activity Sensor System for Sleep/Wake States Detection,” Proceedings of Worldsleep, Kyoto, Japan, Oct. 16-20, 2011.
  32. Ya-Ting C. Yang,Jeen-Shing Wang,Che-Wei Lin, Fu-Haw Yang, and Wei-Chun Chiang, “Relations between Sleep Activity Indices and Verran and Snyder-Halpern (VSH) Sleep Scale using Statistical Analysis,” Proceedings of Worldsleep, Kyoto, Japan, Oct. 16-20, 2011.
  33. Ming-Han Wu, Chih-Jen Wang, Yen-Kuang Yang, Jeen-Shing Wang, and Pau-Choo Chung, “Emotional Quality Level Recognition Based on HRV,” IEEE World Congress on Computational Intelligence, IJCNN, 2010 (WCCI 2010).
  34. Chen-Yan Chen, Chi-Jen Wang, E-Liang Chen, Chi-Keng Wu, Yen-Kuang Yang, Jeen-Shing Wang, and Pau-Choo Chung, “Detecting Sustained Attention during Cognitive Work using Heart Rate Variability,” The Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing IIHMSP 2010.
  35. 王維新、王振興、王琪珍、詹寶珠、林哲偉,“基於雲端運算分析概念之生理訊號分析與健康促進系統,” 2010數位生活科技研討會, 2010.
  36. Tzu-Ping Kao, Che-Wei Lin, and Jeen-Shing Wang,“Development of a portable activity detector for daily activity recognition,” Proc. of IEEE International Symposium on Industrial Electronics, Seoul, Korea, pp. 115-120, July 5-8, 2009.
  37. Hsin-Hui Tseng, Che-Wei Lin, Yuh-Cherng Guo, Li-Min Liou, and Jeen-Shing Wang, “A Polysomnography-based HRV and EEG Analysis Software,” Proc. of International Symposium on Biomedical Engineering, pp. 1-5, 2008.
  38. Jhih-Wei Wu, I-Han Liu, and Jeen-Shing Wang, “Intelligent Car-Like Robot with a Remote Monitoring Control and Lane Keeping Assistance System,” Proc. of International Automatic Control Conferenc, pp. 1-6, 2008.
  39. Jeen-Shing Wang, Tzu-Ping Kao, and I-Han Liu, “An Autonomous Vehicle with a Cellphone-Based Remote Control and Vision-Guided Surveillance System,” Proc. of International Automatic Control Conferenc, pp. 1-5, 2008.
  40. Hung-Yi Lin, Li-Ying Wu, Chung-Yao Hsu, Sheng-Hsing Lan, and Jeen-Shing Wang, “An Automatic Detectio Algorithm of Cyclic Alternating Pattern,” Proc. of International Symposium on Biomedical Engineering, pp. 1-5, 2008 (97-2221-E-006-157)
  41. Fang-Chen Chuang and Jeen-Shing Wang, “Single-Channel Speech Enhancement: Using Recurrent Neuro-Fuzzy Voice Activity Detector and Spectral Subtraction Algorithms,” Proc. of 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3057-3061, 2008.
  42. Li-Ying Wu and Jeen-Shing Wang, “A Simplified Support Vector Clustering Algorithm,” Proc. of 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1259-1264, 2008.
  43. Jeen-Shing Wang and Yi-Chung Chen, “A Hammerstein-Wiener Recurrent Neural Network with a Frequency Response Function Initialization Algorithm,” Proc. of 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1832-1837, 2008.
  44. Che-Wei Lin and Jeen-Shing Wang, “A Digital Circuit Design of Nonlinear Activation Functions for Neural Networks,” Proc. of 2008 IEEE International Symposium on Circuits and Systems, pp. 856-859, 2008.
  45. Che-Wei Lin and Jeen-Shing Wang, “A Digital Circuit Design of State-Space Recurrent Neural Networks,” Proc. of 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1838-1842, 2008.
  46. Ming-Chan You, Cheng-Yi Mao, and Jeen-Shing Wang, “Recursive Parametric Spectral Subtraction Algorithm for Speech Enhancement,” Communications in Computer and Information Sciences, vol. 2, pp. 826-835, 2007.
  47. Jeen-Shing Wang, Jen-Chieh Chiang, and Ya-Ting Yang, “Support Vector Clustering with Outlier Detection,” Communications in Computer and Information Sciences, vol. 2, pp. 423-431, 2007.
  48. Che-Wei Lin and Jeen-Shing Wang, “A Novel Membership Function Approximation for Effective Design of Neural Networks,” the 18th VLSI Design/CAD Symposium, Taiwan, pp. 261-265, August 8-11, 2007.
  49. Che-Wei Lin, Jeen-Shing Wang, and Chun-Chang Yu, “Synchronous Pipeline Hardware Design for a Neuro-Fuzzy Circuit with On-Chip Learning Capability,” Lecture Notes in Artificial Intelligence, vol. 4682, pp. 192-201, 2007.
  50. Tzun-Ying Yang, Yen-Ping Chen, Shun-Nan Liou, Gwo-Yun Lee, and Jeen-Shing Wang, “Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction,” Lecture Notes in Computer Sciences, vol. 4740, pp. 395-400, 2007.
  51. Tzu-Ping Kao, Chun-Chang Yu, Ting-Yu Chen, and Jeen-Shing Wang, “Hardware Design of an Adaptive Neuro-Fuzzy Network with On-Chip Learning Capability,” Lecture Notes in Computer Science, vol. 4492, no. 2, pp. 336-345, 2007.
  52. Jeen-Shing Wang, Hung-Yi Lin, Yu-Liang Hsu, and Ya-Ting Yang, “Using a Wiener-Type Recurrent Neural Network with the Minimum Description Length Principle for Dynamic System Identification,” Lecture Notes in Artificial Intelligence, vol. 4682, pp. 192-201, 2007.
  53. Jeen-Shing Wang and Jen-Chieh Chiang, “Support Vector Clustering with a Novel Cluster Validity Method,” Proc. of 2006 IEEE International Conference on Systems, Man & Cybernetics, Taipei, Taiwan, pp. 3715-3720, Oct. 8-11, 2006.
  54. Jeen-Shing Wang and Yen-Ping Chen, “A Hammerstein Neuro-Fuzzy Network with an Online Hybrid Construction Algorithm for Dynamic Applications,” Proc. of 2006 IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 9946-9953, July 16-21, 2006.
  55. Yen-Ping Chen and Jeen-Shing Wang, “A Novel Nonlinear Dynamical Systems Control Using Linear Controllers with Nonlinearity Eliminators,” Proc. of 2006 IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 10737-10744, July 16-21, 2006.
  56. Yen-Ping Chen and Jeen-Shing Wang, “Identification of Chaotic Systems Using a Self-Constructing Recurrent Neural Network,” Proc. of 2005 IEEE International Conference on Systems, Man & Cybernetics, The Big Island, Hawaii, pp. 2150-2155, Oct. 10-12, 2005.
  57. Yen-Ping Chen and Jeen-Shing Wang, “An Automated Hammerstein Recurrent Neural Network for Dynamic Applications,” Proc. of IASTED International Conference on Computational Intelligence, Calgary, Canada, July 4-6, 2005.
  58. Jen-Chieh Chiang and Jeen-Shing Wang, “A Validity-Guided Support Vector Clustering Algorithm for Identification of Optimal Cluster Configuration,” Proc. of 2004 IEEE International Conference on Systems, Man & Cybernetics, Hague, Netherlands, pp. 3613-3618, October.
  59. Shao-Hua Lee and Jeen-Shing Wang, “Design of a Neuro-Fuzzy Chip Using Adaptive Multimode Approaches for an Intelligent Car-Backing System,”Proc. IEEE International Conference on Systems, Man & Cybernetics, Hague, Netherlands, pp. 3799-3804, October 10-13, 2004.
  60. Jiun-Kai Wang and Jeen-Shing Wang, “Efficient Function Approximation Using an Online Self-Regulating Clustering Algorithm,” Proc. of 2004 IEEE International Conference on Systems, Man & Cybernetics, Hague, Netherlands, pp. 5935-5940, October 10-13, 2004.
  61. Yen-Ping Chen, Sheng-Nan Wu, and Jeen-Shing Wang, “A Hybrid Predictor for Time Series Prediction,” Proc. of 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 1596-1602, July 25-29, 2004.
  62. Jiun-Kai Wang and Jeen-Shing Wang, “A Self-Regulating Clustering Algorithm for Identification of Minimal Cluster Configuration,” Proc. of 2004IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 1427-1432, July 25-29, 2004.
  63. Yen-Ping Chen and Jeen-Shing Wang, “A Novel Recurrent Neural Network with Minimal Representation for Dynamic System Identification,” Proc. of 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 849-854, July 25-29, 2004.
  64. Sheng-Nan Wu and Jeen-Shing Wang, “An Adaptive Recurrent Neuro-Fuzzy Filter for Noisy Speech Enhancement,” Proc. of 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 3083-3088, July 25-29, 2004.
  65. Jeen-Shing Wang, “An Efficient Recurrent Neuro-Fuzzy System for Identification and Control of Dynamic Systems,” Proc. of 2003 IEEE Int'l Conf. on Systems, Man & Cybernetics, Washington, D.C., pp. 2833-2838, Oct 5-8, 2003.
  66. Jeen-Shing Wang and C. S. G. Lee, “Self-Adaptive Recurrent Neuro-Fuzzy Control for an Autonomous Underwater Vehicle,” Proc. of 2002 IEEE Int'l Conf. on Robotics and Automation, Washington, D.C., pp. 1190-1100, May 11-15, 2002 (Finalist for the Best Student Paper Award).
  67. Jeen-Shing Wang and C. S. G. Lee, “Efficient Neuro-Fuzzy Control Systems Autonomous Underwater Vehicles,” Proc. of 2001 IEEE Int'l Conf. on Robotics and Automation, Seoul, Korea, pp. 2986-2991, May 21-26, 2001.
  68. C. S. G. Lee and Jeen-Shing Wang, “Self-Adaptive Neuro-Fuzzy Systems: Structure and Learning,” Proc. of 2000 IEEE/RSJ Int'l Conf. on Intelligent Robots and Systems, Takamatsu, Japan, pp. 52-57, Oct. 31-Nov. 3, 2000.
  69. Jeen-Shing Wang, C. S. G. Lee, and J. Yuh, “Self-Adaptive Neuro-Fuzzy Systems with Fast Parameter Learning for Autonomous Underwater Vehicle Control,” Proc. of 2000 IEEE Int'l Conf. on Robotics and Automation, San Francisco, CA, pp. 3861-3866, April 24-28, 2000.
  70. Jeen-Shing Wang, C. S. G. Lee, and J. Yuh, “Self-Adaptive Neuro-Fuzzy Control with Fuzzy Basis Function Network for Autonomous Underwater Vehicles,” Proc. of 1999 IEEE/RSJ Int'l Conf. on Intelligent Robots and Systems, Kyongju, Korea, pp. 130-135, Oct. 17-21, 1999.
  71. Jeen-Shing Wang, C. S. G. Lee, and C. H. Juang, “Structure and Learning in Self-Adaptive Neural Fuzzy Inference Systems,” Proc. of the Eighth Int'l Fuzzy Syst. Association World Congress (IFSA'99), Taipei, Taiwan, pp. 975-980, Aug. 17-20, 1999.
  72. Jeen-Shing Wang, C. S. G. Lee, and J. Yuh, “An On-Line Self-Organizing Neuro-Fuzzy Control for Autonomous Underwater Vehicles,” Proc. of 1999 IEEE Int'l Conf. on Robotics and Automation, Detroit, MI, pp. 2416-2421, May 10-15, 1999.
  73. Jeen-Shing Wang and R. McLaren, “A Modified Defuzzifier for Control of the Inverted Pendulum Using Learning,” Proc. of 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS, Syracuse, NY, pp. 118-123, Sept. 21-24, 1997.
專利
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  1. 王振興,林哲偉,“耳道式量測裝置”,中華民國專利證書號:I511703。
  2. 王振興,許煜亮,“移動軌跡產生方法”,中華民國專利證書號:I512548。
  3. 王振興,林哲偉,“步態分析方法及步態分析系統”,中華民國專利證書號數:I498846。
  4. 王振興,詹寶珠,林哲偉,莊芳甄,王夏果,“健康照護及促進系統”,中華民國專利證書號:I494078。
  5. 王振興,楊家輝,高子平,伍琇瑩,陳柏良,廖恪應, “互動式遊戲控制系統與控制方法”,中華民國專利證書號:I478756。
  6. 王振興,林鴻藝,徐崇堯,詹寶珠,“基於腦波訊號之呼吸輔助裝置及其方法”,中華民國專利證書號:I454294。
  7. 王振興,許煜亮,“移動軌跡校正方法及移動軌跡產生方法”,中華民國專利證書號:I474265。
  8. 王振興,劉俊男,許煜亮,莊芳甄,李國筠,“運動軌跡重建方法及其裝置”,中華民國專利證書號:I476733。
  9. 詹寶珠,王振興,王琪珍,莊芳甄,林哲偉,“具心電量測及無線傳輸功能的隱形胸罩”,中華民國專利證書號:I466641。
  10. 王振興,許煜亮,劉俊男,“基於慣性訊號之識別系統及其識別方法”,中華民國專利證書號數:I389042。
  11. 王振興,許煜亮,劉俊男,“移動軌跡重建系統及其訊號輸入裝置”,中華民國專利證書號:I411939。
  12. 王振興,許煜亮,莊芳甄,“動作重建及比對裝置”,中華民國專利證書號:I413030。
  13. 王振興,林鴻藝,徐崇堯,“睡眠腦波監測裝置”,中華民國專利證書號:I418338。
  14. 詹寶珠,王振興,王琪珍,楊延光,莊芳甄,林哲偉,“代謝當量計算系統及其方法”,中華民國專利證書號:I419674。
  15. 詹寶珠,王振興,吳家宇,王煜智,“互動式按摩系統與互動式按摩方法”,中華民國專利證書號數:I373333。
  16. 詹寶珠,王振興,林哲偉,姜仁傑,“具生理狀態調節功能之可攜式生理訊號分析裝置”,中華民國專利公開號:201038251。
  17. 王振興,徐崇堯,林哲偉,江維鈞,“睡眠效率分析方法及其裝置”,中華民國專利公開號:201143715。
  18. 詹寶珠,謝達斌,曾永華,錢百敦,洪正瑞,二岡祥子,鄭莉莉,艾祖華,魏嘉玲,王振興,“可攜式腫瘤偵測裝置”,中華民國專利公開號:201143720。
  19. 詹寶珠,謝達斌,曾永華,王振興,“外接式腫瘤偵測模組”,中華民國專利公開號:201143718。
  20. 王振興,鄭秉恩,許煜亮,“手寫裝置及其移動軌跡補償方法”,中華民國專利公開號:201327278。
  21. 王振興,顏銘信,許煜亮,“關節活動度量測裝置與方法”,中華民國專利公開號:201347734。
  22. 王振興,許煜亮,“移動軌跡校正方法及移動軌跡產生方法”,中華民國專利公開號:201308218。
  23. 王振興,鄭秉恩,許煜亮,“光學手寫筆、光學手寫筆系統與其換行書寫方法”,中華民國專利公開號:201405438。
  24. 王振興,顏銘信,許煜亮,“關節活動度量測裝置及其量測方法”,中華人民共和國專利證書號:CN103417217 B。(2012/12/05~2032/12/05)
  25. 王振興,許煜亮,“移動軌跡校正方法及移動軌跡產生方法”,中華人民共和國專利公開號:CN102915130 A。
  26. 王振興,許煜亮,“運動軌跡產生方法”,中華人民共和國專利公開號:CN102915171 A。
  27. 王振興,林哲偉,“步態分析方法及步態分析系統”,中華人民共和國專利申請號:201310282004.9。
  28. Jeen-Shing Wang  and Yu-Liang Hsu, “Moving trajectory generation method,” US Patent No. US Patent No.13/566620.
  29. Jeen-Shing Wang and Yu-Liang Hsu, “Moving trajectory calibration method and moving trajectory generation method,” US Patent No. US20130035890 A1.
  30. Jeen-Shing Wang and Yu-Liang Hsu, “Moving trajectory generation method,” US Patent No. US20130069917 A1.
  31. Jeen-Shing Wang, Min-Shen Yan, and Yu-Liang Hsu, “Joint motion measuring apparatus and measuring method thereof,” US Patent No. US20130310711 A1.
  32. Jeen-Shing Wang and Che-Wei Lin, “GAIT ANALYSIS METHOD AND GAIT NALYSIS SYSTEM,” US Patent No. 13/935898.
  33. 王振興,呂景民,許煜亮,江維鈞,“以音樂為介入之生理情緒狀態調控系統及其調控方法”,成大技轉中心申請號:103-011-BP。
其他
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研究計劃
  1. 智慧健康照護手環與雲端服務平台於氣喘預警、睡眠障礙篩檢及老年照護之前瞻應用與服務開發(2015-2018),主持人。
  2. 「雲端自我健康促進與管理科技領域探究式課程」精緻化與推廣(2014-2016),共同主持人。
  3. 上肢注射肉毒桿菌毒素應用於腦中風病人之成效:研發並應用新型穿戴式慣性模組評估上肢功能變化及注射肉毒桿菌毒素的療效(2014-2015),共同主持人。
  4. 以慣性感測技術為基礎之穿戴式痙攣程度量化評估系統之研製及其用於中風患者注射肉毒桿菌毒素療效評估指標之開發(2014-2015),共同主持人。
  5. 智慧型手錶核心技術開發(2014-2015),主持人。
  6. 建構高齡者運動支持系統之研究建構高齡者運動支持系統之研究(2014-2015),共同主持人。
  7. 穿戴式慣性感測動作捕捉系統及其雲端復健評估與居家課程平台之研製(2013-2016),主持人。
  8. 行動健康促進工具驗證及肥胖與代謝症候群個案之介入性研究(2013-2015),共同主持人。
  9. 運用創新教學策略與雲端運算科技融入高中職之自我健 康管理與促進課程實驗計畫(2011-2014),共同主持人。
  10. 以慣性感測器為基礎之可攜式動作捕捉系統研製及其應用開發(2010-2013),主持人。
  11. 以慣性感測元件為基礎的動作辨識與軌跡重建之演算法開發:實現互動式遊戲操控平台與慣性雷射簡報筆 (2009-2010),主持人。
  12. 與醫療看護整合之身心理健康促進系統之研究(2008-2010),共同主持人。
  13. 「人本智慧生活科技整合中心」-專案八:互動式全感知3D實虛境服務精靈(2008-2009),協同主持人。
  14. 支持向量群聚演算法之效能改善與其實際應用(2008-2009),主持人。
  15. 適應性類神經模糊網路晶片之最佳設計與其在具電腦視覺之智慧型駕車系統軟/硬體共同模擬平台之實證 (2006-2008),主持人。
  16. 遞迴類神經模糊系統之最小狀態空間表示在未知動態系統之控制與辨別(2004-2006),主持人。
  17. 複雜動態系統之遞迴類神經模糊控制:設計及穩定度分析(2003),主持人。
  18. 基於眼動圖、肌電圖及活動量的快速動眼期睡眠偵測之裝置及演算法開發(專題生: 劉乃碩) (07/2011~02/2012)
  19. 基於心律變異性分析的可攜式情緒導正MP3播放器(專題生: 李怡慧) (07/2011~02/2012)
  20. Visualization of SVC feature space and development of automatic kernel/parameters selection mechanisms (專題生:吳俐 瑩) (07/2007~02/2008)
  21. 整合3G手機之智慧型自走車:利用虛擬力場理論及視 覺與超音波感測器開發自動導引系統 (專題生:周楨惇) (07/2007~02/2008)
  22. A Study on Identification and Control of a Nonlinear System: A Hybrid Approach (專題生:陳奕中)(07/2006~02/2007)
指導學生
本學年度 實驗室成員
碩士班
曾瑞竹
戴嘉旭
邱奕嘉
楊景倫
黃唯軒
黃錫鏞
廖宜劭
莊家毅
陳奎佑
已畢業學生
博士班
103
江維鈞
101
莊芳甄
100
林哲偉   許煜亮
98
姜仁傑
97
陳彥冰
碩士班
107
謝皇廷   周哲宇
106
陳冠翔   林昀廷   張婷婷   陳怡靜   溫苡任
105
沈育宏
104
高子平   袁明安   賴柏元   張巧玲   楊宗翰
103
羅永   吳?昇   莊雅冠
102
洪千涵   翁啟翔   胡家瑋   張哲維   朱晟瓴   劉乃碩   李怡慧
101
施冠榮   鄭秉恩   顏銘信
100
何域禎   謝豐任   洪健超   黃彥綸   廖士鈞   陳彥勳
99
曾信輝   吳俐瑩   黃裕閔   江維鈞   張端穎   伍琇瑩
98
陳奕中   林鴻藝   高子平   劉俊男   吳致瑋   曾育中
97
毛成一   游明展   楊惠祁   劉羿涵
96
許煜亮   吳建輝   黃瑋婷   陳亭宇   童俊銘   顏仲甫
95
余俊璋   洪志明   黃國和   許書彰   廖士頤
94
林建華   姜仁傑   莊芳甄   謝環澤
93
王俊凱   李紹華   吳勝男   陳彥冰
特殊榮譽
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  2. 指導學生參加2015年衛服部全國食品藥物開放資料應用創新競賽:冠軍
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  5. 指導學生參加2014 微軟潛能創意盃世界公民組 榮獲:全球亞軍
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  7. 執行100年度國科會高瞻成果嘉年華榮獲:高瞻計畫執行成果年度執行研究團隊獎(計畫涵蓋領域包含教育、醫學及工程)
  8. 指導學生參加2012 微軟潛能創意盃世界大賽軟體設計組 (含嵌入式系統) 晉級世界前六強(共72國參賽)
  9. 指導學生參加2012 微軟潛能創意盃軟體設計組 (含嵌入式系統) 榮獲:冠軍
  10. 指導學生參加2011成大雲端應用創意競賽入選決賽並榮獲:冠軍
  11. 指導學生參加2011 ARM Code-O-Rama設計大賽入選決賽並榮獲:冠軍(127隊報名參賽)
  12. 99學年度行政院國科會吳大猷先生紀念獎
  13. 指導學生參加中華電信2009 電信加值應用大賽3G行動數位生活應用組入選決賽並榮獲:亞軍
  14. 指導學生參加2009 ARM Code-O-Rama設計大賽入選決賽並榮獲:冠軍(80隊報名參賽)
  15. 指導學生參加第九屆「旺宏金矽獎」半導體設計與應用大賽入選應用組決賽並榮獲:評審團鑽石大賞、最佳指導教授獎(239隊報名參賽)
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  18. 指導學生參加96學年度全國大學院校嵌入式系統設計競賽入選創意應用組全國決賽並榮獲:佳作(116隊報名參賽)
  19. 指導學生參加96學年度全國大學院校嵌入式系統設計競賽入選軟硬體整合組全國決賽並榮獲主辦單位頒發:產學應用獎
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  21. 95年度國科 會控制學門吳大猷紀念獎候選人
  22. Marquis Who's Who in World (2010)
  23. Marquis Who's Who in Asia (2006)