将爵士音乐家身体运动中的同步性与他们的情绪进行比较
Anushka Bhave1, Josephine van Delden1, Peter A Gloor1
1MIT Center for Collective Intelligence, Cambridge, MA 02142, USA.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
爵士乐音乐家 爵士乐音乐家
科学领域:
- 音乐心理学 音乐心理学
- 计算创造力的创造力
- 人与计算机的交互
背景情况:
- 在小组表演中理解集体情绪至关重要.
- 量化小组同步提供了对团队动态的洞察力.
研究的目的:
- 调查爵士音乐家的身体同步与集体情绪之间的联系.
- 开发一种基于运动同步预测集体情绪的模型.
主要方法:
- 使用轻量级OpenPose进行多人姿势同步的实时软件.
- 面部表情识别用于评估集体情绪.
- 相关性,回归和1D卷积神经网络 (CNN) 用于分析和预测.
主要成果:
- 更高的身体同步与快乐的增加和负面情绪 (厌恶,愤怒,悲伤) 的减少有关.
- 1-D CNN模型在使用17个身体同步关键点向量预测集体情绪时,实现了61.47%的训练准确率和66.17%的测试准确率.
结论:
- 物理同步是爵士乐乐团集体情绪状态的重要指标.
- 计算方法可以有效地从运动数据中分析和预测群体情绪.
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