Future Directions

Chapter 5 Conclusions and Future Work

5.2 Future Directions

Some directions deserve further study in the future:

1) More comparisons with other emotional models will be further studied. It will be interesting to investigate different models for robotic emotion generation and evaluate their emotional intelligence with practical experiments.

2) For human emotion recognition, it is suggested to focus on the development of robust algorithms to deal with more natural visual and audio signals. Methods to extract more reliable features of both visual and audio modalities will also be investigated to improve the performance. The direct fusion of both visual and audio features is considered for the future to overcome the incomplete problem.

3) Because the voice signal must be acquired using the embedded system, it is difficult to establish a benchmark to evaluate the developed recognition algorithm. In the future, a method to extract key phrases in an utterance will be investigated, to increase the recognition rate. The emotional state can be estimated more directly from the speech signal, than from the extracted statistical features of the whole voice frame.

4) In this study, all participants in our experiment are aware of the test. It belongs to intrusive testing. Other types of testing can be studied in the future.

Appendix A

Evaluation Questionary of Emotional Interaction

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Vita

姓名: 韓孟儒性別: 男

生日: 中華民國 65 年 7 月 21 日籍貫: 台北市

論文題目: 中文: 機器人情感模型及情感辨識設計

英文: Design of Robotic Emotion Model and Human Emotion Recognition

學/經歷:

1. 民國 87 年 6 月國立台北科技大學電機工程技術系畢業 2. 民國 92 年 6 月國立中興大學電機工程研究所畢業 3. 民國 92 年 9 月國立交通大學電控工程研究所博士班

4. 民國 99 年 11 月工業技術研究院機械與系統研究所副研究員

Publication List

Journal paper

[1] Meng-Ju Han, Chia-How Lin and Kai-Tai Song, “Robotic Emotional Expression Generation Based-on Mood Transition and Personality Model,” IEEE Transactions on Systems, Man and Cybernetics, Part B, to appear, November 5, 2012 (Accepted).

[2] Kai-Tai Song, Meng-Ju Han and Shih-Chieh Wang, “Speech-Signal-Based Emotion Recognition and Its Application to Entertainment Robots,” Journal of the Chinese Institute of Engineers, to appear, September 20, 2012 (Accepted).

[3] Kai-Tai Song, Meng-Ju Han and Jung-Wei Hong, “Online Learning Design of an Image-Based Facial Expression Recognition System,” Intelligent Service Robotics, Vol.

3, No. 3, pp. 151-162, 2010.

[4] Meng-Ju Han, Jing-Huai Hsu, Kai-Tai Song and Fuh-Yu Chang, “A New Information Fusion Method for Bimodal Robotic Emotion Recognition,” Journal of Computers, Vol.

3, No. 7, pp. 39-47, 2008.

Patent

[1] 宋開泰、韓孟儒、王仕傑、林家合、林季誼，“表情檢測裝置及其表情檢測方法”，

中華人民共和國發明專利證書號： ZL 2009 1 0141299.1.

[2] 宋開泰、韓孟儒、許晉懷、洪濬尉、張復瑜，“情緒辨識與對新辨識資訊之學習方

法”，台灣發明專利證書號： I365416.

[3] Kai-Tai Song, Meng-Ju Han, Jing-Huai Hsu, Jung-Wei Hong and Fuh-Yu Chang, “Method of Emotion Recognition,” 美國專利公開號： 20080201144.

[4] 陳豪宇、韓孟儒、吳至仁、林泓宏、康哲儒、楊谷洋、宋開泰、蔡文祥、莊仁輝，“移

動式取像系統及其控制方法”，台灣專利公開號： 200905617.

[5] 宋開泰、韓孟儒、王仕傑、林家合、林季誼，“表情偵測裝置及其表情偵測方法”，

台灣專利公開號：201039251；美國專利公開號： 20100278385.

[6] 宋開泰、韓孟儒、王仕傑、江銘峰、林家合，“人臉偵測裝置及其人臉偵測方法”，

台灣專利公開號：201040846；中國專利申請號：200910141418.3；美國專利公開號：

20100284619.

[7] 宋開泰、韓孟儒、林嘉豪，“機器人自主情感表現裝置以及表現機器人自主情感之方

法”，台灣專利公開號：201123036；美國專利公開號： 20110144804.

[8] 宋開泰、韓孟儒、王仕傑，“人臉辨識方法及應用此方法之系統”，台灣專利公開號：

201123030；美國專利公開號：20110150301.

Conference paper

[1] Meng-Ju Han, Chia-How Lin and Kai-Tai Song, “A Design for Smooth Transition of Robotic Emotional States,” in Proc. of IEEE International Conference on Advanced Robotics and Its Social Impacts, Seoul, Korea, 2010, pp. 13-18.

[2] Yi-Wen Chen, Meng-Ju Han, Kai-Tai Song and Yu-Lun Ho, “Image-Based Age-Group Classification Design Using Facial Features,” in Proc. of IEEE International Conference on System Science and Engineering, Taipei, Taiwan, 2010, pp. 548-552.

[3] Kai-Tai Song, Shih-Chieh Wang, Meng-Ju Han and Ching-Yi Kuo, “Pose-Variant Face Recognition Based on an Improved Lucas-Kanade Algorithm,” in Proc. of IEEE International Conference on Advanced Robotics and Its Social Impacts, Tokyo, Japan, 2009, pp. 87-92.

[4] Meng-Ju Han, Chia-How Lin and Kai-Tai Song, “Autonomous Emotional Expression Generation of a Robotic Face,” in Proc. of IEEE International Conference on Systems, Man and Cybernetics, San Antonio, Texas, USA, 2009, pp. 2501-2506.

[5] Kai-Tai Song, Meng-Ju Han, Fu-Hua Jen and Jen-Chao Tai, “Facial Expression Recognition and Its Application to Emotional Interaction of a Robotic Head,” in Proc. of the 10^th International Conference on Automation Technology, Tainan, Taiwan, 2009, pp.

493-498.

[6] Kai-Tai Song, Meng-Ju Han and Shuo-Hung Chang, “Pose-Variant Facial Expression Recognition Using an Embedded Image System,” in Proc. of International Symposium on Precision Mechanical Measurements, Hefei, China, 2008.

[7] Shih-Chieh Wang, Meng-Ju Hanand Kai-Tai Song, “Human Emotion Recognition of a Pet Robot Using Natural Speech Information,” in Proc. of National Symposium on System

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