Automated pain detection using STA-LSTM on facial landmarks-Reference-Cited by-同舟云学术

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Automated pain detection using STA-LSTM on facial landmarks

Published:2024-04-24 Issue: Volume: Page:36-40
ISSN:
Container-title:2024 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI)
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Author:

Du Tiehua¹^ORCID,Choo Keng Wah¹^ORCID,Kong Wai Ming¹^ORCID,Tan Chin Wen²^ORCID,Teo Jing Chun²^ORCID,Chan Diana³^ORCID,Sng Ban Leong⁴^ORCID

Affiliation:

1. School of Engineering, Nanyang Polytechnic, Singapore

2. KK Women's and Children's Hospital, Singapore

3. Singapore General Hospital, Singapore

4. Department of Women's Anaesthesia, KK Women's and Children's Hospital, Singapore and Anaesthesiology and Perioperative Sciences Academic Clinical Program, Singhealth Duke-NUS Academic Medical Centre, Singapore

Funder

ministry of education Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665065.3665072

Reference9 articles.

1. Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification

2. An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition

3. Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

4. Attention mechanisms in computer vision: A survey

5. Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition

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