Acoustic cues from the floor: A new approach for fall classification. - Emanuele Principi; Diego Droghini; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Expert Syst. Appl., 2016)

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Comput. Intell. Neurosci., 2017)

Hierarchic Conv Nets Framework for Rare Sound Event Detection. - Fabio Vesperini; Diego Droghini; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (EUSIPCO, 2018)

Human Fall Detection by Using an Innovative Floor Acoustic Sensor. - Diego Droghini; Emanuele Principi; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Multidisciplinary Approaches to Neural Computing, 2018)

An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. - Diego Droghini; Stefano Squartini; Emanuele Principi; Leonardo Gabrielli; Francesco Piazza (IEEE Trans. Emerg. Top. Comput. Intell., 2021)