ArticleSensors (Basel, Switzerland)2021
Radar Recorded Child Vital Sign Public Dataset and Deep Learning-Based Age Group Classification Framework for Vehicular Application.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Extensive Age-Balanced and Subject-Varied mmWave Radar Dataset of Referenced Records for Vital Signs.Scientific data · 2026Article
- A dataset of 120 GHz millimeter-wave radar vital signals with synchronized reference recordings.Scientific data · 2026Article
- Vehicle Occupant Detection Based on MM-Wave Radar.Sensors (Basel, Switzerland) · 2024Article
- A public dataset of dogs vital signs recorded with ultra wideband radar and reference sensors.Scientific data · 2024Article
- Ultra-Wideband Radar for Simultaneous and Unobtrusive Monitoring of Respiratory and Heart Rates in Early Childhood: A Deep Transfer Learning Approach.Sensors (Basel, Switzerland) · 2023Article
- Analysis of Signal Processing Methods to Reject the DC Offset Contribution of Static Reflectors in FMCW Radar-Based Vital Signs Monitoring.Sensors (Basel, Switzerland) · 2022Article
- A comprehensive ultra-wideband dataset for non-cooperative contextual sensing.Scientific data · 2022Article
- Effects of Receiver Beamforming for Vital Sign Measurements Using FMCW Radar at Various Distances and Angles.Sensors (Basel, Switzerland) · 2022Article
- Non-Contact Supervision of COVID-19 Breathing Behaviour With FMCW Radar and Stacked Ensemble Learning Model in Real-Time.IEEE transactions on biomedical circuits and systems · 2022Article
- Radar Recorded Child Vital Sign Public Dataset and Deep Learning-Based Age Group Classification Framework for Vehicular Application.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The ongoing intense development of short-range radar systems and their improved capability of measuring small movements make these systems reliable solutions for the extraction of human vital signs in a contactless fashion. The continuous contactless monitoring of vital signs can be considered in a wide range of applications, such as remote healthcare solutions and context-aware smart sensor development. Currently, the provision of radar-recorded datasets of human vital signs is still an open issue. In this paper, we present a new frequency-modulated continuous wave (FMCW) radar-recorded vital sign dataset for 50 children aged less than 13 years. A clinically approved vital sign monitoring sensor was also deployed as a reference, and data from both sensors were time-synchronized. With the presented dataset, a new child age-group classification system based on GoogLeNet is proposed to develop a child safety sensor for smart vehicles. The radar-recorded vital signs of children are divided into several age groups, and the GoogLeNet framework is trained to predict the age of unknown human test subjects.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.