系統識別號 U0026-2907201112380200
論文名稱(中文) 以生理訊號量測及ZigBee無線傳輸來評估情緒反應
論文名稱(英文) Evaluating Emotional Response by Measuring Physiological Signals and Using ZigBee Wireless Transmission
校院名稱 成功大學
系所名稱(中) 電機工程學系碩博士班
系所名稱(英) Department of Electrical Engineering
學年度 99
學期 2
出版年 100
研究生(中文) 蔡長佑
研究生(英文) Chang-Yu Tsai
學號 n26981721
學位類別 碩士
語文別 中文
論文頁數 56頁
口試委員 指導教授-楊明興
中文關鍵字 心電圖  ZigBee  無線傳輸  分類器  心律變異率(HRV) 
英文關鍵字 Electrocardiogram(ECG)  ZigBee  Wireless transmission  Classifier  Heart rate variability(HRV) 
中文摘要 根據定義,情緒是受到某種刺激所產生的身心激動狀態。現代人在忙碌的工作下,常常累積許多壓力,當一個人累積過多壓力後,常常因為沒有適當的宣洩壓力,而將這個刺激表現在情緒上,往往造成同事、同學間的口角,引起許多誤會。情緒會引起如交感神經、副交感神經和心率的變化的生理反應及如開懷大笑、愁眉苦臉等表情反應。為了能夠辨別情緒,本研究主要建立一套量測系統,透過ZigBee無線傳輸來傳送所量測到的生理參數,並分析之。
英文摘要 By definition, emotion is an excited state generated by some kind of physical and mental stimulation. Under the busy works in modern time, a lot of people accumulate heavy pressure. When a person accumulated too much pressure, and no proper manner to vent pressure, it may be presented on emotional responses, and often resulting in a quarrel with colleagues or students. Finally, it may also lead to a lot of misunderstanding. The emotion will cause physiological and expression responses. The physiological responses are such as sympathetic, parasympathetic and heart rate (HR) changes. The expression responses are such as laughing face, frown, etc. In order to identify emotions, this study establishes a measurement system of physiological parameters and transmit the measured data through ZigBee wireless transmission systems and then analyzing the physiological parameters.
Although face recognition authentication has some viability, a trained person may make a false expression, and cause the system’s recognition error. The most direct way is to measure physiological signals. As the physiological responses are originated from Autonomic Nervous System (ANS), it is impossible to fake. Therefore, the system uses the physiological signal analysis instead of the facial expression recognition. Furthermore, the most suitable physiological parameter to represent emotional responses is the ECG signal. By using wireless transmission, it can transmit the measured ECG signal to the PC for heart rate variability (HRV) analysis. And then we use these parameters to determine the current trend of positive emotions or negative emotions. In addition, we also use the nearest neighbor (KNN) classifier to classify other parameters and compare with the SAM scale. If it has high accuracy, you can use this system instead of questionnaires to recognize the emotional responses.
論文目次 摘要 I
致謝 IV
目錄 V
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1-1 研究動機與目的 1
1-2 相關文獻探討 2
1-2-1 無線系統 2
1-2-2 情緒刺激 3
1-2-3 ECG訊號 5
1-3 章節提要 6
第二章 系統設計 7
2-1 ZigBee硬體設計 7
2-1-1 ZigBee介紹 8
2-1-2 ZigBee硬體設計 13
2-2 ECG硬體設計 14
2-2-1 電源電路 14
2-2-2 儀表放大器(Instrumentation Amplifier) 15
2-2-3 低通濾波器(LPF, Low Pass Filter) 16
2-2-4 帶拒濾波器(Notch Filter) 19
2-2-5 高通濾波器(HPF, High Pass Filter) 20
2-2-6 後級放大器(Post Amplifier) 22
2-2-7 平移電路(Shifting Circuit) 23
2-3 ZigBee軟體設計 23
2-4 Labview程式設計 26
2-5 系統測試 29
第三章 實驗流程 34
3-1 E-prime播放圖片軟體 34
3-2 生活健康量表(SF-36) 35
3-3 IAPS圖庫 36
3-4 SAM量表 36
3-5 實驗方法與步驟 37
3-5-1 實驗步驟 38
3-6 分類器 39
第四章 結果與討論 42
4-1 生理參數變化情形 42
4-2 分類器結果 46
4-3 討論 46
第五章 結論與未來展望 47
5-1 結論 47
5-2 未來展望 47
參考文獻 48
附錄A 50
附錄B 51

參考文獻 [1] L. Byungsung, et al., "Classification of Facial Expression Using SVM for Emotion Care Service System," in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on, pp. 8-12, 2008.
[2] W. Kiing-Ing, "Real-time heart rate variability detection on sensor node," in Sensors Applications Symposium, 2009. SAS 2009. IEEE, pp. 184-187, 2009.
[3] R. R. D. Fletcher, K.; Goodwin, M.S.; Eydgahi, H.; Wilder-Smith, O.; Fernholz, D.; Kuboyama, Y.; Hedman, E.B.; Ming-Zher Poh; Picard, R.W.; , "iCalm: Wearable Sensor and Network Architecture for Wirelessly Communicating and Logging Autonomic Activity " Information Technology in Biomedicine, IEEE Transactions on vol. 14, pp. 215 - 223, 2010.
[4] J. Jiehui, et al., "A Mobile Monitoring System of Blood Pressure for Underserved in China by Information and Communication Technology Service," Information Technology in Biomedicine, IEEE Transactions on, vol. 14, pp. 748-757, 2010.
[5] S. Yu-Cheng, et al., "Wireless ECG detection system with low-power analog front-end circuit and bio-processing ZigBee firmware," in Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on, pp. 1216-1219, 2010.
[6] K. Seong Hoon, et al., "UPnP-ZigBee internetworking architecture mirroring a multi-hop ZigBee network topology," Consumer Electronics, IEEE Transactions on, vol. 55, pp. 1286-1294, 2009.
[7] P. J. Lang, Bradley, M.M., Cuthbert, B.N., "International Affective Picture System (IAPS): Instruction Manual and Affective Ratings," echnical Report A-4. The Center for Research in Psychophysiology,Gainesville, Florida., 1999.
[8] M. M. B. Peter J. Lang, Bruce N. Cuthbert, "International Affective Picture System(IAPS) : Affective ratings of pictures and instruction manual," NIMH Center for the Study of Emotion & Attention University of Florida, 2008.
[9] B. Sabatinelli D., M.M., Fitzsimmons J., and Lang, P.J., "Parallel amygdala and inferotemporal activation reflect emotional intensity and fear relevance," niversity of Florida Neuroimage, 2005.
[10] M. K. Greenwald, Cook, E.W.I., Lang, P.J., "Affective judgment and psychophysiological response: dimensional covariation in the evaluation of pictorial stimuli.," J. Psychophysiol., pp. 51–64, 1989.
[11] W. A. S. P. Gomez, and B. Danuser., "Respiratory response during affective picture viewing," Biological Psychology 67, pp. 359-373, 2004.
[12] J. P. Saul, "BEAT-TO-BEAT VARIATIONS OF HEART-RATE REFLECT MODULATION OF CARDIAC AUTONOMIC OUTFLOW," News in Physiological Sciences, vol. 5, pp. 32-37, Feb 1990.
[13] A. Luttmann, et al., "Joint analysis of spectrum and amplitude (JASA) of electrogram applied for the indication of muscular fatigue among surgeons in urology.," in Advanced in Occupation Ergonomic and saefty., pp. 523 - 528, 1996.
[14] W. Wanqing and L. Jungtae, "Improvement of HRV methodology for positive/negative emotion assessment," in Collaborative Computing: Networking, Applications and Worksharing, 2009. CollaborateCom 2009. 5th International Conference on, pp. 1-6, 2009.
[15] R. McCraty, et al., "THE EFFECTS OF EMOTIONS ON SHORT-TERM POWER SPECTRUM ANALYSIS OF HEART-RATE-VARIABILITY," American Journal of Cardiology, vol. 76, pp. 1089-&, Nov 1995.
[16] H. H. So and K. L. Chan, "Development of QRS detection method for real-time ambulatory cardiac monitor," in Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE, pp. 289-292, 1997.
[17] K. F. Tan, et al., "Detection of the QRS complex, P wave and T wave in electrocardiogram," in Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476), pp. 41-47, 2000.
[18] D. Fradkin and P. Kantor, "Methods for learning classifier combinations: no clear winner," presented at the Proceedings of the 2005 ACM symposium on Applied computing, Santa Fe, New Mexico, 2005.
[19] S. D. Kreibig, "Autonomic nervous system activity in emotion: A review," Biological Psychology, vol. 84, pp. 394-421, 2010.

  • 同意授權校內瀏覽/列印電子全文服務,於2021-07-01起公開。

  • 如您有疑問,請聯絡圖書館