Specifications table

Subject area	Bioengineering of movement
More specific subject area	Fall detection
Type of data	Graph, video
How data was acquired	Wearable MARG (Magnetic Angular Rate and Gravity) sensor integrating a magnetometer (HMC5883L, Honeywell, USA), an accelerometer (ADXL345, Analog Devices, USA) and a gyroscope (ITG-3200, InvenSense Inc., USA).
Data format	Raw and analyzed
Experimental factors	Raw data from sensors and analyzed data obtained from data fusion algorithm.
Experimental features	Healthy young subjects simulating 13 falls (4 forward, 4 backward, 2 lateral right, 2 lateral left, 1 syncope) and 5 actions of daily living, while wearing MARG devise.
Data source location	Sensor Network and Internet of Things laboratory, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
Data accessibility	Data is with this article
Related research article	P. Pierleoni, A. Belli, L. Palma, M. Pellegrini, L. Pernini, S. Valenti, A High Reliability Wearable Device for Elderly Fall Detection, IEEE SENSORS JOURNAL VOL. 15 NO. 8 (2015) 4544-53 [1]