The article presents a project that introduces a wearable, non-intrusive device for snoring detection and remediation. The device, designed to be placed under or alongside a pillow, uses sensors and machine learning algorithms to detect snoring. It employs gentle vibrations to prompt positional changes, thereby reducing snoring episodes. The device can connect to a cloud-based platform for the analysis of snoring sleep patterns and environmental context. The authors discuss the development process, technical challenges, and solutions, emphasizing the alignment with ubiquitous computing in sleep quality improvement.
Publication date: 17 Jan 2024
Project Page: ?
Paper: https://arxiv.org/pdf/2401.08991
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