Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Gian Marco Revel"'
Autor:
Henk Herman Nap, Nathalie E. Stolwijk, Sima Ipakchian Askari, Dirk R. M. Lukkien, Bob M. Hofstede, Nicole Morresi, Sara Casaccia, Giulio Amabili, Roberta Bevilacqua, Arianna Margaritini, Federico Barbarossa, Chien-Ju Lin, Hsiao-Feng Chieh, Fong-Chin Su, Gian Marco Revel, Ephrem Tesfay, Dorothy Bai, Claire Wirtjes, Yeh-Liang Hsu
Publikováno v:
Frontiers in Dementia, Vol 3 (2024)
IntroductionWith a decreasing workforce of carers and a transition from care homes to home care, people with dementia (PwD) increasingly rely on informal caregivers (ICs) and assistive technologies (ATs). There is growing evidence that ATs in the hom
Externí odkaz:
https://doaj.org/article/0973aaccc6a3447981cef02f2091d22e
Autor:
Laura Vandi, Maria Teresa Calcagni, Francesco Belletti, Giuseppe Pandarese, Milena Martarelli, Gian Marco Revel, Vincent Docter, Alessandro Pracucci
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3260 (2024)
This paper details the comprehensive activities conducted in a laboratory setting to assess the structural health monitoring (SHM) of prefabricated building envelopes. Integrating sensors into building components like curtain wall facades poses chall
Externí odkaz:
https://doaj.org/article/a2bd1a6f5cbf4cf0916be838132e256f
Autor:
Gloria Cosoli, Maria Teresa Calcagni, Giovanni Salerno, Adriano Mancini, Gagan Narang, Alessandro Galdelli, Alessandra Mobili, Francesca Tittarelli, Gian Marco Revel
Publikováno v:
Sensors, Vol 24, Iss 2, p 572 (2024)
In a seismic context, it is fundamental to deploy distributed sensor networks for Structural Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure gives insight on the structural health status, and Artificial Intel
Externí odkaz:
https://doaj.org/article/fc4cdf3a6440413ea43849eeb8912cd6
Autor:
Riccardo Naccarelli, Francesca D’Agresti, Sonja Dana Roelen, Kristiina Jokinen, Sara Casaccia, Gian Marco Revel, Martino Maggio, Zohre Azimi, Mirza Mohtashim Alam, Qasid Saleem, Abrar Hyder Mohammed, Giulio Napolitano, Florian Szczepaniak, Mossaab Hariz, Gérard Chollet, Christophe Lohr, Jérôme Boudy, Rainer Wieching, Toshimi Ogawa
Publikováno v:
Sensors, Vol 24, Iss 2, p 638 (2024)
With a substantial rise in life expectancy throughout the last century, society faces the imperative of seeking inventive approaches to foster active aging and provide adequate aging care. The e-VITA initiative, jointly funded by the European Union a
Externí odkaz:
https://doaj.org/article/58365bc117874ab0a5a068471c2e9dd8
Publikováno v:
Sensors, Vol 23, Iss 22, p 9292 (2023)
Modal analysis is an effective tool in the context of Structural Health Monitoring (SHM) since the dynamic characteristics of cement-based structures reflect the structural health status of the material itself. The authors consider increasing level l
Externí odkaz:
https://doaj.org/article/fad931a8e03840b49d665f3d8e1d0254
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100649- (2023)
A measurement setup for localising people in indoor environment based on a system characterized by acquisition of audio files and images implemented on a sensorised social robot is proposed. The audio signal processing for human voice identification
Externí odkaz:
https://doaj.org/article/c9c5dbcf01ac4feca4db73e6141154c3
Publikováno v:
Sensors, Vol 23, Iss 15, p 6963 (2023)
This work illustrates an innovative localisation sensor network that uses multiple PIR and ultrasonic sensors installed on a mobile social robot to localise occupants in indoor environments. The system presented aims to measure movement direction and
Externí odkaz:
https://doaj.org/article/fc0525ddee104929b63cddba4309c872
Publikováno v:
Sensors, Vol 23, Iss 8, p 4023 (2023)
Accurately assessing the geometric features of curvilinear structures on images is of paramount importance in many vision-based measurement systems targeting technological fields such as quality control, defect analysis, biomedical, aerial, and satel
Externí odkaz:
https://doaj.org/article/c4a6cd0be6754af7a9e135ad2c79ce5d
Publikováno v:
Buildings, Vol 12, Iss 12, p 2213 (2022)
This paper describes a methodology to optimize the home sensor network to measure the Activities of Daily Living (ADLs) of older people using Machine Learning (ML) applied to synthetic data generated via a newly developed Smart Living Environment (SL
Externí odkaz:
https://doaj.org/article/8415bce9f52e4b33922747bac254d78d
Publikováno v:
Sensors, Vol 22, Iss 9, p 3472 (2022)
This paper presents an innovative multi-resident activity detection sensor network that uses the Bluetooth Low Energy (BLE) signal emitted by tags worn by residents and passive infrared (PIR) motion sensors deployed in the house to locate residents a
Externí odkaz:
https://doaj.org/article/94c978c1e63a4a099213425c58e4d81f