A Closed-Loop CPR Training Glove with Integrated Tactile Sensing and Haptic Feedback
Jaeyoung Moon, Mingzhuo Ma, Qifeng Yang, Youjin Choi, Seokhyun Hwang, Samuel Burden, Kyung-Joong Kim, Yiyue Luo

TL;DR
This paper introduces a novel CPR training glove with integrated tactile sensors and haptic feedback, enabling real-time performance monitoring and guidance for self-directed CPR practice, reducing reliance on external cues.
Contribution
The paper presents a closed-loop CPR training glove with high-resolution tactile sensing and haptic feedback, providing real-time estimation and guidance, which is a new approach in CPR training tools.
Findings
Tactile sensors achieved ~0.85 sensitivity over 0-600 N
Force estimation accuracy >92% with sub-millisecond inference
Haptic feedback reduced visual distraction in user study
Abstract
Cardiopulmonary resuscitation (CPR) is a critical life-saving procedure, and effective training benefits from self-directed practice beyond instructor-led sessions. In this paper, we propose a closed-loop CPR training glove that integrates a high-resolution tactile sensing array and vibrotactile actuators for self-directed practice. The tactile sensing array measures distributed pressures across the palm and dorsum to enable real-time estimation of compression rate, force, and hand pose. Based on these estimations, the glove delivers immediate haptic feedback to guide the user for proper CPR, reducing reliance on external audio-visual displays. We quantified the tactile sensor performance by measuring wide-range sensitivity (~0.85 over 0-600 N), computing hysteresis (56.04%), testing stability (11.05% drift over 300 cycles), and estimating global signal-to-noise ratio (18.90 +/- 2.41 dB…
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Taxonomy
TopicsCardiac Arrest and Resuscitation · Advanced Sensor and Energy Harvesting Materials · Simulation-Based Education in Healthcare
