走到走的情感人机交互利用轨迹意识和骨架图表意识的空间时间变压器.
Chenghao Li1, Kah Phooi Seng2, Li-Minn Ang2
1School of Internet of Things, Xi'an Jiaotong-Liverpool University, Taicang 215000, China.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
这项研究引入了一种新的系统,让机器人从步行模式 (步态) 中识别人类的情绪. 然后,机器人以匹配的情感步态做出反应,增强人机交互.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 人与机器人的交互 (HRI)
背景情况:
- 社会智能人机交互 (HRI) 取决于机器人的情绪反应.
- 机器学习已经推进了机器人情感识别,但基于步态的情感HRI仍然未被探索.
- 在识别人类情绪的步态和机器人以情绪步态做出反应方面存在差距.
研究的目的:
- 提出一个步行到步行情绪化HRI系统,通过步行来识别人类的情绪.
- 为步态分析开发一种创新的情绪分类模型.
- 为了使人形机器人能够以一致的情感步态做出反应.
主要方法:
- 开发了一个轨迹感知和图感知空间时间变压器 (TS-ST) 模型,用于从人类步态中对情绪进行分类.
- 实施了一个系统,NAO人形机器人可以从人类步态中识别情绪.
- 使机器人能够以预设的情感步态响应,反映识别的人类情绪.
主要成果:
- 与现有的最先进的模型相比,TS-ST模型在人类步行情感识别方面表现出了卓越的表现.
- 该系统成功使人形机器人能够通过步态识别和响应人类情绪.
- 用情感步行数据集来验证模型的有效性.
结论:
- 拟议的步行对步行情绪化HRI系统有效地弥合了基于步行的情绪识别和机器人响应的差距.
- TS-ST模型代表了从人类步行模式识别情绪的重大进步.
- 这项研究为更具情感智能和社会熟练的人机交互铺平了道路.
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