Wearable robot for mental health intervention
Ker-Jiun Wang, Caroline Yan Zheng
- 发表年份
- 2019
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
The theory of human touch that causes the body to release hormone oxytocin can be an effective treatment to alleviate depression and anxiety, such that the patients don't need to seek the help from consultants or drug medications to improve their mental conditions. In this paper, we have developed a wearable robot that mimic human affective touch to build social bonds and regulate emotion and cognitive functions. The touch-stimulated emotion can be measured by brainwaves from 4 EEG electrodes placed on the parietal, prefrontal and left and right temporal lobe regions of the brain. The novel Deep Learning emotion decoder has been designed to identify the human affective, non-affective and neutral emotions. It paves the way in the future to develop an intelligent self-adaptive robot that understands human emotions and adjusts its touch stimulation patterns accordingly to regulate human mental states and treat depression and anxiety problems.
关键词
相关论文
Artificial intelligence: a modern approach
1995
Self-Organizing Maps
Teuvo Kohonen
1995
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller 等 4 位作者
2013
The Organization of Behavior
D. O. Hebb
2005