Work

Towards Accurate Sleep Monitoring: Detecting Bed Events Using Millimeter-Wave Technology

Year: 2024

Type: conference-paper

Abstract: We propose a millimeter-wave (mmWave) wireless signal-based sleep monitoring system aimed at providing information about a person's sleep by detecting sleep events, such as bed entry and exit times, as well as the duration of bed stay. It overcomes the limitations of existing vision-based systems by operating in low-light conditions without invading privacy. It uses spatial-temporal information and signal processing techniques to determine the duration, and our preliminary results indicate that our system can accurately detect bed events.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3697441

Authors: Aakriti Adhikari, Sanjib Sur

Institution: University of South Carolina

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: NeTS: Small: NSF-DST: Modernizing Underground Mining Operations with Millimeter-Wave Imaging and Networking, MRI: Acquisition of Omnipercipient Chamber for Gathering Ground Truth and Enabling Research on Smart and Connected Things, CAREER: Vision and Learning Augmented D-Band Networking and Imaging