Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements †

This study presents a radar-based remote measurement system for classification of human behaviors and falls in restrooms without privacy invasion. Our system uses a dual Doppler radar mounted onto a restroom ceiling and wall. Machine learning methods, including the convolutional neural network (CNN)...

Descripción completa

Detalles Bibliográficos
Autores principales: Saho, Kenshi, Hayashi, Sora, Tsuyama, Mutsuki, Meng, Lin, Masugi, Masao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915019/
https://www.ncbi.nlm.nih.gov/pubmed/35270868
http://dx.doi.org/10.3390/s22051721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915019/
https://www.ncbi.nlm.nih.gov/pubmed/35270868
http://dx.doi.org/10.3390/s22051721

Ejemplares similares