Papers for

wearable device builders

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Earable device adapts meditation to user stress in real time

EarStreAM: A Closed-Loop Earable System for Personalized Stress-Adaptive Meditation

Abstract: 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.

Wed 16 SeptHuman-Computer Interaction

The gist

Stress can be hard to manage, especially during busy workdays. The authors created EarStreAM, a device worn in the ear that continuously measures heart signals to detect when someone feels stressed. When stress is detected, it starts a meditation session tailored to the person's current state, using AI to adjust the guidance as stress levels change. This helps provide personalized support to manage stress while working.

Open → 2609.19127v1