利用小膜温度用于基于耳机的情绪识别
Kaita Furukawa1, Xinyu Shui1,2, Ming Li1,2
1Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
耳机现在可以通过耳膜温度 (TMT) 差异来检测情绪. 这种新的方法显示了可穿戴技术中高级情绪识别的前景.
科学领域:
- 神经科学是一个神经科学.
- 可穿戴技术可穿戴技术
- 人与计算机的交互
背景情况:
- 情感识别是人类与计算机互动的关键.
- 耳机可以捕捉大脑活动和与情绪相关的横向化.
- tympanic膜温度 (TMT) 可以表明侧向的大脑激活.
研究的目的:
- 为基于耳机的情绪识别引入耳膜温度 (TMT).
- 调查双边TMT差异对分类情绪状态的有用性.
- 将基于TMT的情绪识别与手腕皮肤温度进行比较.
主要方法:
- 开发了定制耳机来测量双边TMT.
- 通过自传回忆和场景想象在两个实验中诱导情绪.
- 训练有素的分类器使用右左TMT差异特征进行离散和价值情绪分类.
主要成果:
- 在四类情感分类中实现了36.2%和42.5%的准确性.
- 实现了72.5%和68.8%的准确性对二元 (正/负) 情绪分类.
- 基于TMT的模型显示了与手腕皮肤温度不见的精度改善.
结论:
- 在TMT中,横向化为情感识别提供了独特的,有价值的信息.
- 通过耳机测量的TMT对现实世界的情感感知应用有很大的潜力.
- 这种方法推进了使用可访问的可穿戴技术的情感识别领域.
关键词:
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