Emotion Recognition of Textual Session Record Based on the Voice Dialogue System of Reminiscence Therapy
Shuhong Shi, Takahiro Uchiya, Ichi Takumi · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) · 2021
For this research, we propose a reminiscence therapy dialogue system with an emotion presumption function and demonstrate the effectiveness of our method experimentally. Reminiscence therapy is a technique used to remind patients of their past through conversation. The emotion analysis function of the reminiscence therapy dialogue system can infer the psychological changes of users more effectively and can adjust the dialogue contents in time to achieve reminiscence therapy with better effects.