Biometric Monitoring Device for Long-Term Measurements in Clinical Research

Carl D. Marci

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Biometric Monitoring Device for Long-Term Measurements in Clinical Research

機(jī)譯：用于臨床研究中長期測量的生物特征監(jiān)測裝置

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Neuroscience research has shed light on the fact that when individuals are exposed to any stimulus, they experience emotions first, followed by an array of thoughts, feelings, and actions, all of which are influenced by initial, subconscious emotions. Automated facial expression recognition is a relatively newer technology with its foundations laid in the field of human computer interactions. Currently available methods for recognizing facial expression rely upon training the system on participants displaying exaggerated expressions of prototypical emotions, which has limitations and is not considered to be ideal for real-world applications.

機(jī)譯：神經(jīng)科學(xué)研究的事實是，當(dāng)個體受到任何刺激時，他們首先會經(jīng)歷情緒，然后是一系列的思想，感覺和行為，所有這些思想，感覺和行為都會受到最初的潛意識情感的影響。自動化的面部表情識別是一種相對較新的技術(shù)，其基礎(chǔ)已建立在人機(jī)交互領(lǐng)域。當(dāng)前可用的識別面部表情的方法依賴于在參與者身上展示原型情感的夸張表情的訓(xùn)練系統(tǒng)，這是有局限性的，并不被認(rèn)為是現(xiàn)實應(yīng)用的理想選擇。

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《Inside R & D》 |2012年第15期|p.1-2|共2頁
作者
Carl D. Marci;
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Co-founder and Chief Executive Officer, Innerscope Research, 98 North Washington St. 2nd Floor, Boston, MA 02114;

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Biometric Monitoring Device for Long-Term Measurements in Clinical Research

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