@article {2211,
	title = {Exploiting wearable goniometer technology for motion sensing gloves},
	journal = {IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
	year = {2014},
	abstract = {<p>This paper presents an innovative wearable kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove is conceived to capture hand movement and gesture by using KPF in a double layer configuration working as angular sensors (electro-goniometers). The sensing glove prototype is endowed by three KPF goniometers, used to track flexion and extension movement of metacarpo-phalangeal joint of thumb, index and middle fingers. The glove is devoted to the continuous monitoring of patients during their daily life activities, in particular for stroke survivors during their rehabilitation. The prototype performances have been evaluated in comparison with an optical tracking system considered as a gold standard both for relieving static and dynamic posture and gesture of the hand. The introduced prototype has shown very interesting figures of merit. The angular error, evaluated through the standard Bland Altman analysis, has been estimated in ? 3? which is slightly less accurate than commercial electro-goniometers. Moreover, a new conceptual prototype design, preliminary evaluated within this work, is presented and discussed in order to solve actual limitations in terms of number and type of sensor connections, avoiding mechanical constraints given by metallic inextensible wires and improving user comfort.</p>
},
	doi = {10.1109/JBHI.2014.2324293},
	author = {N. Carbonaro and Dalle Mura, G. and F. Lorussi and Paradiso, R. and D. De Rossi and A. Tognetti}
}
@article {2032,
	title = {Modulation of isochronous movements in a flexible environment: links between motion and auditory experience},
	journal = {Experimental Brain Research},
	volume = {232},
	year = {2014},
	month = {06/2014},
	pages = {1663 - 1675},
	keywords = {Bioengineering},
	doi = {10.1007/s00221-014-3845-9},
	author = {Bravi, R. and Del Tongo, C. and Cohen, E. J. and Dalle Mura, G. and A. Tognetti and Minciacchi, D.}
}
@article {2212,
	title = {New generation of wearable goniometers for motion capture systems},
	journal = {JOURNAL OF NEUROENGINEERING AND REHABILITATION},
	volume = {11},
	year = {2014},
	abstract = {<p>Background Monitoring joint angles through wearable systems enables human posture and gesture to be reconstructed as a support for physical rehabilitation both in clinics and at the patient{\textquoteright}s home. A new generation of wearable goniometers based on knitted piezoresistive fabric (KPF) technology is presented. Methods KPF single-and double-layer devices were designed and characterized under stretching and bending to work as strain sensors and goniometers. The theoretical working principle and the derived electromechanical model, previously proved for carbon elastomer sensors, were generalized to KPF. The devices were used to correlate angles and piezoresistive fabric behaviour, to highlight the differences in terms of performance between the single layer and the double layer sensors. A fast calibration procedure is also proposed. Results The proposed device was tested both in static and dynamic conditions in comparison with standard electrogoniometers and inertial measurement units respectively. KPF goniometer capabilities in angle detection were experimentally proved and a discussion of the device measurement errors of is provided. The paper concludes with an analysis of sensor accuracy and hysteresis reduction in particular configurations. Conclusions Double layer KPF goniometers showed a promising performance in terms of angle measurements both in quasi-static and dynamic working mode for velocities typical of human movement. A further approach consisting of a combination of multiple sensors to increase accuracy via sensor fusion technique has been presented.</p>
},
	doi = {10.1186/1743-0003-11-56},
	author = {A. Tognetti and F. Lorussi and Dalle Mura, G. and N. Carbonaro and Pacelli, M. and Paradiso, R. and D. De Rossi}
}
@conference {1996,
	title = {Piezoresistive Goniometer Network for Sensing Gloves},
	booktitle = {Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing},
	year = {2014},
	pages = {1547{\textendash}1550},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	doi = {10.1007/978-3-319-00846-2_382},
	url = {http://dx.medra.org/10.1007/978-3-319-00846-2_382},
	author = {Dalle Mura, G. and F. Lorussi and A. Tognetti and G. Anania and N. Carbonaro and M. Pacelli and R. Paradiso and D. De Rossi}
}
@conference {2005,
	title = {Personal Biomonitoring System: a real-time physiological and behavioural parameter monitoring system for stress correlation},
	booktitle = {17th Annual CyberPsychology \& CyberTherapy Conference (CYBER17)},
	year = {2012},
	month = {September 25-28,},
	pages = {{\textendash}},
	author = {N. Carbonaro and A. Tognetti and G. Anania and Dalle Mura, G. and D. De Rossi}
}
@conference {2019,
	title = {The influence of audio-stimuli on isochronic repetitive movements. A time analysis using kinematic data},
	booktitle = {Joint Meeting of Young Italian and Japanese Neuroscientists, Italian Society for Neuroscience},
	year = {2010},
	month = {21 settembre},
	pages = {35{\textendash}35},
	author = {Del Tongo, C. and Bravi, R. and A. Tognetti and Dalle Mura, G. and Minciacchi, D.}
}
@conference {2029,
	title = {Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication},
	booktitle = {Proceedings of the ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications},
	year = {2009},
	pages = {679{\textendash}682},
	doi = {10.1109/ISDA.2009.256},
	url = {http://dx.medra.org/10.1109/ISDA.2009.256},
	author = {M. Ferro and G. Pioggia and A. Tognetti and Dalle Mura, G. and D. De Rossi}
}
@conference {2028,
	title = {Music and non-musical timed information affect accuracy of motor performance in a task of synchronization},
	booktitle = {Proceedings of the National Congress of the Italian Society for Neuroscience},
	year = {2009},
	pages = {{\textendash}},
	author = {Del Tongo, C. and Bravi, R. and A. Tognetti and Dalle Mura, G. and Minciacchi, D.}
}
