EarStreAM：用于个性化压力自适应冥想的闭环耳戴式系统
EarStreAM: A Closed-Loop Earable System for Personalized Stress-Adaptive Meditation
- Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）
- IPAI Foundation gGmbH（IPAI基金会）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
EarStreAM是一种闭环耳戴式系统，通过耳内传感监测压力，利用大语言模型生成个性化冥想并实时调整，为办公场景提供压力支持。
AI中文摘要：
我们展示了EarStreAM，一种用于压力自适应冥想的闭环耳戴式系统，它将耳内生理传感与个性化、实时干预相结合。利用OpenEarable 2.0的多模态传感功能，EarStreAM持续监测生理信号，并从心率和心率变异性中检测出升高的压力水平。一旦检测到压力，系统便会启动由大语言模型（LLM）生成的个性化引导冥想，并根据用户的压力状态实时调整。该演示提供了两种模式下的压力自适应冥想实践体验：一种为生物信号自适应冥想模式，可选压力诱导以展示闭环适应能力；另一种为纯冥想模式，侧重于EarStreAM的生成式个性化能力。该演示突出了耳内传感、闭环适应和个性化生成式冥想如何集成到一个耳戴式系统中，以在高压办公工作环境中提供实时压力支持。
英文摘要：
We present EarStreAM, a closed-loop earable system for stress-adaptive meditation that integrates in-ear physiological sensing with personalized, real-time intervention. Leveraging OpenEarable 2.0's multimodal sensing, EarStreAM continuously monitors physiological signals and detects elevated stress from heart rate and heart rate variability. Upon detection, the system initiates a personalized guided meditation generated by an LLM and adapted in real time to the user's stress state. The demo offers a hands-on experience of stress-adaptive meditation in two modes: a biosignal-adaptive meditation with optional stress induction to illustrate closed-loop adaptation, and a meditation-only mode focusing on EarStreAM's generative personalization capabilities. The demo highlights how in-ear sensing, closed-loop adaptation, and personalized generative meditation can be integrated into an earable system for real-time stress support in demanding office work contexts.
