ArticleScientific data2022
The VISTA datasets, a combination of inertial sensors and depth cameras data for activity recognition.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Comparison of hip and knee range of motion measurements using Azure Kinect and a digital goniometer in elite female weightlifters.Scientific reports · 2026Article
- UMATBrush: A dataset of inertial signals of toothbrushing activities.Data in brief · 2025Article
- Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space.Scientific data · 2025Article
- A multimodal dataset of real world mobility activities in Parkinson's disease.Scientific data · 2023Article
- In-Home Older Adults' Activity Pattern Monitoring Using Depth Sensors: A Review.Sensors (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
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.
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Registered trials
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