@article {Paolanti2018,
	title = {Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection},
	journal = {Sensors},
	volume = {18},
	number = {10},
	year = {2018},
	month = {oct},
	pages = {3471},
	publisher = {{MDPI} {AG}},
	doi = {10.3390/s18103471},
	url = {https://doi.org/10.3390/s18103471},
	author = {Marina Paolanti and Luca Romeo and Daniele Liciotti and Annalisa Cenci and Emanuele Frontoni and Primo Zingaretti}
}
@inbook {Liciotti2017,
	title = {An Intelligent RGB-D Video System for Bus Passenger Counting},
	booktitle = {Intelligent Autonomous Systems 14: Proceedings of the 14th International Conference IAS-14},
	year = {2017},
	pages = {473{\textendash}484},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-48036-7},
	doi = {10.1007/978-3-319-48036-7_34},
	url = {http://dx.doi.org/10.1007/978-3-319-48036-7_34},
	author = {Daniele Liciotti and Annalisa Cenci and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti},
	editor = {Chen, Weidong and Hosoda, Koh and Menegatti, Emanuele and Shimizu, Masahiro and Wang, Hesheng}
}
@conference {Cenci:2017:MAP:3109761.3109773,
	title = {Movements Analysis of Preterm Infants by Using Depth Sensor},
	booktitle = {Proceedings of the 1st International Conference on Internet of Things and Machine Learning},
	series = {IML {\textquoteright}17},
	year = {2017},
	month = {10-2017},
	pages = {12:1{\textendash}12:9},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {<p>Qualitative assessment of general movements in preterm infants is widely used in clinical practice. It can enable early detection of neurological dysfunctions and consequent neuromotor impairments in high risk infants. However, the outcome of these assessments is not standardized and it is influenced by examiner{\textquoteright}s subjective interpretation. For this reason, there is an increasing interest in the use of automated movement recognition technologies being applied in this field. In this work, we use a video-based system for preterm infant{\textquoteright}s movements assessment to provide a 3<em>D</em>\&nbsp;motion analysis method able to extract some important indicators from the sequence of depth images collected by using an RGB-D sensor placed over the infant lying on the crib. The advantage of the proposed method is that it is objective, contactless, non-invasive, easy to install, affordable and suitable to be used in an indoor environment with poor lighting, as might be rooms in the Neonatal Intensive Care Unit, where these infants are taken into care. Experimental results show that the proposed method is able to derive from statistical analysis of depth data some key performance indicators, each of which describes different characteristics of the infant{\textquoteright}s spontaneous movements. Preliminary tests are conducted in the experimental phase on a preterm infant hospitalized in a women{\textquoteright}s and children{\textquoteright}s hospital. The project can be used to investigate the relationship between the characteristics of spontaneous movements and the presence of pathologies as cerebral palsy or other minor neurological dysfunctions.</p>
},
	keywords = {3D tracking, clustering, modelling, preterm infant{\textquoteright}s movement analysis},
	isbn = {978-1-4503-5243-7},
	doi = {10.1145/3109761.3109773},
	url = {http://doi.acm.org/10.1145/3109761.3109773},
	author = {Annalisa Cenci and Daniele Liciotti and Emanuele Frontoni and Primo Zingaretti and Virgilio Paolo Carnielli}
}
@conference {cenci2016cloud,
	title = {A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study},
	booktitle = {12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Annalisa Cenci and Daniele Liciotti and Ercoli, Ilaria and Primo Zingaretti and Virgilio Paolo Carnielli}
}
@conference {innocenti2016development,
	title = {Development of an automatic procedure to mechanically characterize soft tissue materials},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Innocenti, Bernardo and Lambert, Pierre and Larrieu, Jean-Charles and Pianigiani, Silvia and Marina Paolanti and Michele Bernardini and Annalisa Cenci and Emanuele Frontoni}
}
@conference {ercoli2015measurement,
	title = {A measurement procedure for the assessment of thermoregulatory activitity in premature babies},
	booktitle = {Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on},
	year = {2015},
	pages = {229{\textendash}233},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Ercoli, Ilaria and Scalise, Lorenzo and Annalisa Cenci and Marchionni, Paolo and Enrico Primo Tomasini and Virgilio Paolo Carnielli}
}
@conference {cenci2015non,
	title = {Non-Contact Monitoring of Preterm Infants Using RGB-D Camera},
	booktitle = {ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
	year = {2015},
	pages = {V009T07A003{\textendash}V009T07A003},
	publisher = {American Society of Mechanical Engineers},
	organization = {American Society of Mechanical Engineers},
	author = {Annalisa Cenci and Daniele Liciotti and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
