Automatic Recognition Methods Supporting Pain Assessment: A Survey-Reference-Cited by-同舟云学术

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Automatic Recognition Methods Supporting Pain Assessment: A Survey

Published:2019 Issue: Volume: Page:1-1
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Werner Philipp,Lopez-Martinez Daniel,Walter Steffen,Al-Hamadi Ayoub,Gruss Sascha,Picard Rosalind

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/08865626.pdf?arnumber=8865626

Cited by 129 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild;Engineering Applications of Artificial Intelligence;2024-10

2. Electrodermal activity in pain assessment and its clinical applications;Applied Physics Reviews;2024-08-06

3. Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

4. Unraveling the physiological and psychosocial signatures of pain by machine learning;Med;2024-08

5. Uncertainty quantification in neural-network based pain intensity estimation;PLOS ONE;2024-08-01

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