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Enea Cippitelli
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2010 – 2019
- 2019
- [d5]Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante:
TST Fall detection dataset v1. IEEE DataPort, 2019 - 2018
- [d4]Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante:
TST Intake Monitoring dataset v2. IEEE DataPort, 2018 - [d3]Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante:
TST Intake Monitoring dataset v1. IEEE DataPort, 2018 - [d2]Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante:
TST TUG dataset. IEEE DataPort, 2018 - [d1]Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante:
TST Fall detection dataset v2. IEEE DataPort, 2018 - 2017
- [j5]Ennio Gambi
, Angela Agostinelli, Alberto Belli
Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices. Sensors 17(8): 1776 (2017) - [c12]Susanna Spinsante
Fall Detection with Kinect in Top View: Preliminary Features Analysis and Characterization. GOODTECHS 2017: 153-162 - [c11]Haobo Li, Aman Shrestha, Francesco Fioranelli
Multisensor data fusion for human activities classification and fall detection. IEEE SENSORS 2017: 1-3 - 2016
- [j4]Enea Cippitelli
A Human Activity Recognition System Using Skeleton Data from RGBD Sensors. Comput. Intell. Neurosci. 2016: 4351435:1-4351435:14 (2016) - [c10]Enea Cippitelli, Ennio Gambi
Human Action Recognition Based on Temporal Pyramid of Key Poses Using RGB-D Sensors. ACIVS 2016: 510-521 - [c9]Enea Cippitelli, Samuele Gasparrini, Ennio Gambi
An Integrated Approach to Fall Detection and Fall Risk Estimation Based on RGB-Depth and Inertial Sensors. DSAI 2016: 246-253 - [c8]Enea Cippitelli, Samuele Gasparrini, Ennio Gambi
Unobtrusive intake actions monitoring through RGB and depth information fusion. ICCP 2016: 19-26 - 2015
- [j3]Laura Montanini, Enea Cippitelli
Low complexity head tracking on portable android devices for real time message composition. J. Multimodal User Interfaces 9(2): 141-151 (2015) - [j2]Enea Cippitelli
Kinect as a Tool for Gait Analysis: Validation of a Real-Time Joint Extraction Algorithm Working in Side View. Sensors 15(1): 1417-1434 (2015) - [c7]Enea Cippitelli
Validation of an optimized algorithm to use Kinect in a non-structured environment for Sit-to-Stand analysis. EMBC 2015: 5078-5081 - [c6]Enea Cippitelli
Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications. ICC Workshops 2015: 265-270 - [c5]Samuele Gasparrini, Enea Cippitelli
Proposal and Experimental Evaluation of Fall Detection Solution Based on Wearable and Depth Data Fusion. ICT Innovations 2015: 99-108 - 2014
- [j1]Samuele Gasparrini, Enea Cippitelli
A Depth-Based Fall Detection System Using a Kinect® Sensor. Sensors 14(2): 2756-2775 (2014) - [c4]Enea Cippitelli
Depth stream compression for enhanced real time fall detection by multiple sensors. ICCE-Berlin 2014: 29-30 - [c3]Enea Cippitelli
A depth-based joints estimatio n algorithm for get up and go test using Kinect. ICCE 2014: 226-227 - [c2]Laura Montanini, Enea Cippitelli
Real time message composition through head movements on portable Android devices. ICCE 2014: 516-517 - [c1]Susanna Spinsante, Enea Cippitelli, Adelmo De Santis, Ennio Gambi, Samuele Gasparrini, Laura Montanini, Laura Raffaeli:
Multimodal Interaction in a Elderly-Friendly Smart Home: A Case Study. MONAMI 2014: 373-386
Coauthor Index
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