由於現代社會的忙碌與壓力，人們的各種負面情緒所導致的疾病一一浮現，例如，容易焦慮進而產生抑鬱、疲倦、嗜睡、焦慮和人際關係緊張，甚至還會出現知覺扭曲與幻覺。因此建立一套經由生理參數監測以分析情緒反應的系統對於人們來說將會是很有幫助的。而對於情緒辨識系統來說，如何引發出受測者的真實情緒是很重要的事情。
　　本研究是使用IAPS圖庫、音樂、影片等3種不同的情緒刺激方式來刺激受測者的情緒，並記錄了心電圖訊號(ECG)，然後經由討論HRV的分析結果、受測者在刺激後所填寫的SAM量表與KNN分類器的情緒分類結果這三種數據，試著找出何種刺激方式最能夠引發出受測者的真實情緒，並藉由提升生理訊號的代表性來提高情緒辨識率。
　　由實驗結果顯示，情緒刺激方式如果能讓受測者產生共鳴，使受測者同時間受到內外在刺激，可以提高受測者在刺激時的情緒表現。

Due to the busy life and pressure in modern society, people suffer from the diseases resulted from all kinds of negative emotion. For example, anxiety results in fatigue, sleepiness, anxiety, and tension between interpersonal relationships. Anxious feelings even generate perceptual distortions and illusion .Therefore, it will be very helpful to establish a set of physiological parameter monitor to analyze emotional responses. In terms of emotional recognition system, it is very vital for stimulation to evoke the respondent’s real emotion.
This research manipulates three different emotional stimulations, IAPS photo gallery, music, and videos, to stimulate the respondent’s emotion, record ECG signals, and analyze HRV results, SAM scale and the results of KNN classifier emotional categories via discussion. The research tries to find out what kind of stimulations can lead to the respondent’s real emotion. The recognition rate of emotion can be increased by enhancing the authenticity of physiological signals.
The results of this research show that if stimulation can let the respondent’s has consonance, and feel the interior and exterior stimulations at the same time, it can increase the respondent’s emotional performance while they are stimulated.

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