Volume 6, Issue 3, December 2019, Pages 199 - 202
A System for Posting on an SNS an Author Portrait Selected using Facial Expression Analysis while Writing a Message
Authors
Taro Asada1, *, Yuiko Yano2, Yasunari Yoshitomi1, Masayoshi Tabuse1
1Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Nakaragi-cho, Shimogamo, Sakyo-ku, Kyoto 606-8522, Japan
2Nara Guarantee Corporation, 163-2 Horencho, Nara 630-8668, Japan
*Corresponding author. Email: t_asada@mei.kpu.ac.jp
Corresponding Author
Taro Asada
Received 18 December 2018, Accepted 28 December 2018, Available Online 10 December 2019.
- DOI
- 10.2991/jrnal.k.191202.004How to use a DOI?
- Keywords
- Facial expression analysis; real-time system; mouth area; portrait; writing messages; OpenCV
- Abstract
We have developed a real-time system for expressing emotion as a portrait selected according to the facial expression while writing a message. The portrait is decided by a hair style, a facial outline, and a cartoon of facial expression. The image signal is analyzed by the system using image processing software (OpenCV). The system selects one portrait expressing one of neutral, subtly smiling and smiling facial expressions using two thresholds on facial expression intensity. We applied the system to post on a Social Network Service (SNS) a message and a portrait expressing the facial expression.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - Taro Asada AU - Yuiko Yano AU - Yasunari Yoshitomi AU - Masayoshi Tabuse PY - 2019 DA - 2019/12/10 TI - A System for Posting on an SNS an Author Portrait Selected using Facial Expression Analysis while Writing a Message JO - Journal of Robotics, Networking and Artificial Life SP - 199 EP - 202 VL - 6 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.191202.004 DO - 10.2991/jrnal.k.191202.004 ID - Asada2019 ER -