Quantitative Expression of Elderly Multi-Modal Emotions with Spoken Dialogue Agent and Edge AI-Reference-Cited by-同舟云学术

Quantitative Expression of Elderly Multi-Modal Emotions with Spoken Dialogue Agent and Edge AI

Published:2023-02-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)
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Author:

Chen Sinan¹,Ozono Hayato¹,Nakamura Masahide²,Yasuda Kiyoshi³

Affiliation:

1. Kobe University,Kobe,Japan,657-8501

2. Kobe University,RIKEN Center for Advanced Intelligence Project,Tokyo,Japan,103-0027

3. Osaka Institute of Technology,Osaka,Japan,535-8585

Funder

JSPS KAKENHI

Tateishi Science and Technology Foundation (C)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10105301/10105250/10105327.pdf?arnumber=10105327

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3. Real-time convolutional neural networks for emotion and gender classification;arriaga;ArXiv Preprint,2017

4. Developing a facial identification sys- tem using pre-trained model and spoken dialogue agent;chen;2022 International Balkan Conference on Communications and Networking (BalkanCom),0

5. A review: Comparison of performance metrics of pretrained models for object detection using the TensorFlow framework

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