4.7 Review

Ubiquitous Affective Computing: A Review

期刊

IEEE SENSORS JOURNAL
卷 22, 期 3, 页码 1867-1881

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3138269

关键词

Electrocardiography; Affective computing; Sensors; Electrodes; Internet; Electroencephalography; Wearable computers; Affective computing; electrocardiogram (ECG); electrodermal activity (EDA); emotion; wearable devices

资金

  1. Center of Excellence in Community Health Informatics and Fundamental Fund 2022, Chiang Mai University
  2. NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation
  3. PTT Public Company Limited
  4. SCB Public Company Limited
  5. Thailand Science Research and Innovation [SRI62W1501]
  6. Office of the Permanent Secretary of the Ministry of Higher Education, Science, Research and Innovation, Thailand [RGNS63-252]
  7. National Research Council of Thailand [N41A640131]

向作者/读者索取更多资源

This review investigates research on affective computing using electrocardiogram (ECG) and electrodermal activity (EDA). It summarizes common trends in this field and covers the fundamental pipeline of affective computing research. Future research directions and potential applications are also discussed.
This review investigated research works on affective computing by using electrocardiogram (ECG) and electrodermal activity (EDA). The 27 related research papers, including 23 from IEEE Journals and 4 from other Q1 Journals in the last five years, were studied. The main goals have been to summarize common trends in this field in recent years as well as provide discussions and a big picture of how future research should be done. The content of this review covers the fundamental pipeline of affective computing research consisting of stimuli, intelligent affective computing, and sensor design and data processing. Additionally, we discuss future research directions and potential applications, including stress monitoring, music cognition, and robotics, where ECG and EDA will play a significant role with wearable devices. Therefore, this review serves as an information summary for everyone who is interested in affective computing and improving AI's understanding of human emotion.

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