Zobrazeno 1 - 10
of 4 415
pro vyhledávání: '"Avogaro"'
Autor:
Mannucci F, Vitturi G, Benacchio L, Sbrogiò LG, Bano F, Lapolla A, Piarulli F, Giron MC, Avogaro A, Fadini GP
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 15, Pp 3093-3101 (2022)
Francesca Mannucci,1 Giacomo Vitturi,2 Luca Benacchio,3 Luca Gino Sbrogiò,4 Francesca Bano,1 Annunziata Lapolla,5 Francesco Piarulli,5 Maria Cecilia Giron,2 Angelo Avogaro,6 Gian Paolo Fadini6 1Pharmaceutical Unit, Local Health Unit 6, Padua, Italy;
Externí odkaz:
https://doaj.org/article/1d584790bedc46398de95f4e7d6e4d84
Autor:
Capogrosso, Luigi, Toaiari, Andrea, Avogaro, Andrea, Khan, Uzair, Jivoji, Aditya, Fummi, Franco, Cristani, Marco
Patterns of human motion in outdoor and indoor environments are substantially different due to the scope of the environment and the typical intentions of people therein. While outdoor trajectory forecasting has received significant attention, indoor
Externí odkaz:
http://arxiv.org/abs/2409.00774
Autor:
Ferrario L, Schettini F, Avogaro A, Bellia C, Bertuzzi F, Bonetti G, Ceriello A, Ciaccio M, Corsi Romanelli M, Dozio E, Falqui L, Girelli A, Nicolucci A, Perseghin G, Plebani M, Valentini U, Zaninotto M, Castaldi S, Foglia E
Publikováno v:
ClinicoEconomics and Outcomes Research, Vol Volume 13, Pp 453-464 (2021)
Lucrezia Ferrario,1 Fabrizio Schettini,1 Angelo Avogaro,2 Chiara Bellia,3 Federico Bertuzzi,4 Graziella Bonetti,5 Antonio Ceriello,6 Marcello Ciaccio,3,7 Massimiliano Corsi Romanelli,8,9 Elena Dozio,9 Luca Falqui,10 Angela Girelli,11 Antonio Nicolucc
Externí odkaz:
https://doaj.org/article/43685c02151b45c6bd8f1b106e76a4cc
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 13, Pp 4221-4234 (2020)
Mario Luca Morieri, Angelo Avogaro, Gian Paolo Fadini Department of Medicine, University of Padova, Padova 35128, ItalyCorrespondence: Mario Luca MorieriDepartment of Medicine, University of Padova, Via Giustiniani 2, Padova 35128, ItalyTel +39 049 8
Externí odkaz:
https://doaj.org/article/dc598af776a743eeb3d537f5ebd78e23
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 13, Pp 161-174 (2020)
Benedetta Maria Bonora, Angelo Avogaro, Gian Paolo Fadini Department of Medicine, University of Padova, Padova 35128, ItalyCorrespondence: Gian Paolo FadiniDepartment of Medicine, University of Padova, Via Giustiniani 2, Padova 35128, ItalyTel +39 49
Externí odkaz:
https://doaj.org/article/57add5ecf2e84f1399d0d1489b66b187
Autor:
Avogaro, Andrea, Toaiari, Andrea, Cunico, Federico, Xu, Xiangmin, Dafas, Haralambos, Vinciarelli, Alessandro, Li, Emma, Cristani, Marco
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. The key-novelty is the focus on the robot's perspective, i.e., on the da
Externí odkaz:
http://arxiv.org/abs/2403.14447
Publikováno v:
Frontiers in Computer Science 5, (2023): 1153160
Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-based Motion Capture systems due to the ease of setup, portability, and
Externí odkaz:
http://arxiv.org/abs/2308.00519
Autor:
Cunico, Federico, Girella, Federico, Avogaro, Andrea, Emporio, Marco, Giachetti, Andrea, Cristani, Marco
Continuous mid-air hand gesture recognition based on captured hand pose streams is fundamental for human-computer interaction, particularly in AR / VR. However, many of the methods proposed to recognize heterogeneous hand gestures are tested only on
Externí odkaz:
http://arxiv.org/abs/2304.05956
Autor:
Sampieri, Alessio, D'Amely, Guido, Avogaro, Andrea, Cunico, Federico, Skenderi, Geri, Setti, Francesco, Cristani, Marco, Galasso, Fabio
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For the first time, SeS-GCN bottlenecks the interaction of the spatial, tempo
Externí odkaz:
http://arxiv.org/abs/2208.07308
Autor:
Federico Cunico, Stefano Aldegheri, Andrea Avogaro, Michele Boldo, Nicola Bombieri, Luigi Capogrosso, Ariel Caputo, Damiano Carra, Stefano Centomo, Dong Seon Cheng, Ettore Cinquetti, Marco Cristani, Mirco De Marchi, Florenc Demrozi, Marco Emporio, Franco Fummi, Luca Geretti, Samuele Germiniani, Andrea Giachetti, Federico Girella, Enrico Martini, Gloria Menegaz, Niek Muijs, Federica Paci, Marco Panato, Graziano Pravadelli, Elisa Quintarelli, Ilaria Siviero, Silvia Francesca Storti, Carlo Tadiello, Cristian Turetta, Tiziano Villa, Nicola Zannone, Davide Quaglia
Publikováno v:
IEEE Access, Vol 12, Pp 154570-154599 (2024)
The revolutionary technologies behind Industry 4.0 have opened a new era for manufacturing: connected and autonomous machines, collaborative robotics, and monitoring techniques are spreading to increase productivity and sustainability. From the worke
Externí odkaz:
https://doaj.org/article/dd5f35d957cb4a63853c84ca6e618653