UR-Sense: Ubiquitous respiration sensing with UWB radar

Traditional respiration measurement methods require attaching devices or sensors to the subject's body, which can cause discomfort, skin irritation, and the risk of infection. Contactless respiration measurement methods overcome these issues, enabling more efficient and convenient health monitoring. However, most existing contactless respiration monitoring studies assume that subjects remain stationary in a fixed position. This paper introduces UR-Sense, a system that continuously finds a subject's location in daily life without restricting their movements or activities. Experimental results demonstrate that UR-Sense achieves an average respiration estimation accuracy of over 92 % in everyday scenarios, regardless of the subject's mobility and movements.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-06-21
DOI
https://doi.org/10.1016/j.compbiomed.2025.110511
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.67
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article

UR-Sense: Ubiquitous respiration sensing with UWB radar

Seungku Kim, Ju‐Hee Kim
1 citations
Computers in Biology and Medicine
Non-Invasive Vital Sign Monitoring
0.67
article

UR-Sense: Ubiquitous respiration sensing with UWB radar

Seungku Kim, Ju‐Hee Kim
article en
1 citations

Abstract

Traditional respiration measurement methods require attaching devices or sensors to the subject's body, which can cause discomfort, skin irritation, and the risk of infection. Contactless respiration measurement methods overcome these issues, enabling more efficient and convenient health monitoring. However, most existing contactless respiration monitoring studies assume that subjects remain stationary in a fixed position. This paper introduces UR-Sense, a system that continuously finds a subject's location in daily life without restricting their movements or activities. Experimental results demonstrate that UR-Sense achieves an average respiration estimation accuracy of over 92 % in everyday scenarios, regardless of the subject's mobility and movements.

Computers in Biology and MedicineVol. 195
Chungbuk National University (KR)
Openalex Percentile: Top 30%
Non-Invasive Vital Sign Monitoring
0.67
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UR-Sense: Ubiquitous respiration sensing with UWB radar — Seungku Kim, Ju‐Hee Kim · Computers in Biology and Medicine (2025) | TGRS Research Map | TGRS