A Data Set for Fall Detection with Smart Floor Sensors
Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis
⚠ This is a preprint. It may change before it is accepted for publication.


This article describes a data set of falls and activities of daily living recorded with a pressure floor sensor. These signals have been recorded under two settings, one constrained - with volunteers following a predefined protocol, and one unconstrained - where data were collected in a partner nursing home. Overall 157 hours of signal are made available along with 563 manually annotated falls and 333 manually annotated activities (e.g. running, walking). For ease of use, code snippets and an online interface are also provided.