The VISTA datasets, a combination of inertial sensors and depth cameras data for activity recognition

FIORINI, Laura, CORNACCHIA LOIZZO, Federica Gabriella, SORRENTINO, Alessandra, ROVINI, Erika, DI NUOVO, Alessandro and CAVALLO, Filippo (2022). The VISTA datasets, a combination of inertial sensors and depth cameras data for activity recognition. Scientific Data, 9: 218.

s41597-022-01324-3.pdf - Published Version
Creative Commons Attribution.

Download (3MB) | Preview
41597_2022_1324_MOESM1_ESM.pdf - Supplemental Material
Creative Commons Attribution.

Download (337kB) | Preview
Official URL:
Open Access URL: (Published)
Link to published version::


This paper makes the VISTA database, composed of inertial and visual data, publicly available for gesture and activity recognition. The inertial data were acquired with the SensHand, which can capture the movement of wrist, thumb, index and middle fingers, while the RGB-D visual data were acquired simultaneously from two different points of view, front and side. The VISTA database was acquired in two experimental phases: in the former, the participants have been asked to perform 10 different actions; in the latter, they had to execute five scenes of daily living, which corresponded to a combination of the actions of the selected actions. In both phase, Pepper interacted with participants. The two camera point of views mimic the different point of view of pepper. Overall, the dataset includes 7682 action instances for the training phase and 3361 action instances for the testing phase. It can be seen as a framework for future studies on artificial intelligence techniques for activity recognition, including inertial-only data, visual-only data, or a sensor fusion approach.

Item Type: Article
Identification Number:
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 19 May 2022 12:59
Last Modified: 12 Oct 2023 12:01

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics