一个基于智能家居中老年人的情感识别的音乐交互系统:横截面实验研究
Chengmin Zhou1,2, Yuxuan Luo1,2, Wenjing Zhan1,2
1College of Furnishings and Industrial Design, Nanjing Forestry University, No. 159, Longpan Road, Xuanwu District, Nanjing, Jiangsu Province, 210037, China, 86 13851562125.
JMIR aging
|February 10, 2026
概括
具有积极价值和高兴奋度的音乐可以在智能家居中安抚老年人. 这项研究为老年人基于音乐的情绪调节系统提供了基础,提高了他们的幸福感.
科学领域:
- 老年学是一门学科.
- 神经科学是一个神经科学.
- 人与计算机的交互
背景情况:
- 智能家居3.0需要先进的家庭生态系统.
- 音乐有效调节人类的情绪.
- 多式联络技术使老年人在家中能够以音乐为基础进行情绪调节.
研究的目的:
- 将音乐参数映射到情绪状态,使用脑电图 (EEG) 信号和Valence-Arousal模型.
- 为个性化音乐体验开发一个多式融合-自适应健康交互模型.
- 在智能家居环境中解决老年成人用户的情感需求.
主要方法:
- 招募了68名老年人 (60至75岁).
- 通过实验研究了音乐参数与情绪的关系,使用四个音乐刺激组.
- 构建了一个集成到休沙发中的多式融合-自适应健康交互模型.
主要成果:
- 收集了超过6800万个EEG数据点.
- 鉴定了P200,N400和P300组件的显著EEG差异和大脑区域激活 (,,前额叶).
- 脑电图分析揭示了音乐刺激对神经反应的不同.
结论:
- 具有积极价值和高兴奋度 (+ V + A) 的音乐可以有效地安抚老年人.
- 研究结果支持在老年人智能家居系统中对情绪调节的音乐互动.
- 为基于音乐的智能家居健康模块提供理论基础.
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