探索呼吸-音乐耦合：使用呼吸镜像进行钢琴演奏中的躯体反思
Exploring Breathing-Music Coupling: Using the Breathing Mirror for Somatic Reflection in Piano Performance
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中文总结 AI 辅助
本研究提出Breathing Mirror系统及方法，通过三周纵向研究分析钢琴演奏者的呼吸-音乐耦合，揭示相关模式与感知盲区，为躯体音乐研究提供新途径。
中文摘要 AI 辅助
呼吸是生命的必需过程，也是部分乐器发声的关键，但对于钢琴演奏者而言，呼吸往往是隐藏且自动的过程，难以分析或优化。在数据与感知之间存在关键差距：传感器可记录精确的物理指标，却无法捕捉演奏者的躯体体验；相反，演奏时的高认知负荷使音乐家几乎无法精准回忆自身的内部状态。为解决这一问题，我们提出名为Breathing Mirror（呼吸镜像）的系统及相关方法，旨在通过三个分析视角将钢琴演奏者的内部躯体体验外在化：基准视图（同步信号）、第一人称视图（主观回忆）和人际视图（协作反思）。我们对一名拥有35年经验的熟练业余钢琴家开展了为期四周的纵向研究，通过集成纺织应变传感器的腰带记录呼吸数据，评估该系统的有效性。结果显示，Breathing Mirror揭示了部分呼吸-音乐耦合模式，并识别出客观数据与主观感知存在分歧的关键盲区。此外，我们提出了关于呼吸与音乐要素关联的四个躯体主题，为未来在更广泛钢琴演奏者群体中开展大规模验证奠定基础。本研究提供了研究身体信号的新方式，将呼吸从内部生物功能转化为可清晰表达的表现参数。
英文摘要
While breathing is essential to living and for sound production in some instruments, for pianists, it is often a hidden and automatic process, making it difficult to analyze or refine. A critical gap exists between data and awareness: while sensors record precise physical metrics, they fail to capture the performer's somatic experience. Conversely, the high cognitive load of performance makes it nearly impossible for musicians to recall their internal states with temporal precision. To address this, we present a system, Breathing Mirror, and associated methodology designed to externalize the pianist's internal somatic experience through three analytical lenses: a Baseline View (synchronized signals), a First-Person View (subjective recall), and an Interpersonal View (collaborative reflection). Through a four-week longitudinal study with a skilled amateur pianist (35 years of experience), we evaluated the system's effectiveness by recording respiratory data using textile-integrated strain sensor belts. The results show that the Breathing Mirror reveals some patterns of breathing-music coupling and identifies critical blind spots where objective data diverges from subjective perception. Furthermore, we propose four somatic themes regarding the link between breathing and musical elements, offering a foundation for future large-scale validation across a broader range of pianists. This work provides a new way to study body signals, transforming breathing from an internal biological function into an articulate expressive parameter.
发表机构
- McGill University（麦吉尔大学）
- Yamaha Corporation（雅马哈公司）
机构由 AI 辅助整理，请以论文原文为准。
