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Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications
IEEE Transactions on Affective Computing ( IF 9.6 ) Pub Date : 2023-11-28 , DOI: 10.1109/taffc.2023.3286769
Ioannis T. Pavlidis 1 , Theodora Chaspari 2 , Daniel McDuff 3
Affiliation  

In The formative years of Affective Computing [1], from the late 1990s and into the early 2000s, a significant fraction of research attention was focused on the development of methods for unobtrusive physiological measurement . It quickly became obvious that wiring people with electrodes and strapping cumbersome hardware to their bodies was not only restricting the types of experiments that could be performed but also was not conducive to unbiased observations. For instance, subjects with fingers wrapped with electrodermal activity (EDA) and photoplethysmography (PPG) sensors could hardly type, drive or sleep comfortably. Hence, there was a need for more elegant and scalable physiological measurement methods [2].

中文翻译:

社论:关于情感应用的不引人注目的生理测量方法的特刊

在情感计算 [1] 的形成时期,从 20 世纪 90 年代末到 2000 年代初,很大一部分研究注意力集中在情感计算方法的开发上。不引人注目的生理测量。人们很快就发现,给人们连接电极并将笨重的硬件绑在身上不仅限制了可以进行的实验类型,而且也不利于公正的观察。例如,手指包裹着皮肤电活动(EDA)和光电体积描记(PPG)传感器的受试者几乎无法舒适地打字、驾驶或睡眠。因此,需要更优雅和可扩展的生理测量方法[2]。
更新日期:2023-12-01
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