# Knight Watch: Ubiquitous Computing Enhancements To Sleep Quality With Acoustic Analysis

arXiv: https://arxiv.org/abs/2401.08991 · HTML: https://mlsanity.com/paper/2401.08991/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Jan 2024.

## Built on by (most cited first, 1 of 1)

- [Edge AI on Constrained Devices for Binary Sleep-Wake Classification in Dynamic Environments](https://mlsanity.com/paper/2609.29163/) (2026)

## Abstract (arXiv)

This project introduces a wearable, non-intrusive device for snoring detection and remediation, designed to be placed under or alongside a pillow. The device uses sensors and machine learning algorithms to detect snoring and employs gentle vibrations to prompt positional changes, thereby reducing snoring episodes. The device is capable of connecting via an API to a cloud-based platform for the analysis of snoring sleep patterns and environmental context. The paper details the development from concept to prototype, emphasizing the technical challenges, solutions, and alignment with ubiquitous computing in sleep quality improvement.