Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marco Suma"'
Autor:
Michele Pantaleo, Domenico Campagna, Giacomo Tattoli, Carlo Di Leo, Fabio Stroppa, Vitoantonio Bevilacqua, Marco Suma, Angelo Antonio Salatino, Dario D'Ambruoso, Donato Barone
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783319093383
ICIC (2)
ICIC (2)
In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position. The proposed framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1965cbd000556613b0a888bdfd418a83
http://hdl.handle.net/11589/84240
http://hdl.handle.net/11589/84240
Autor:
Marco Suma, Gaetano D'Onghia, Giuseppe Mastrandrea, Francesco Cipriani, Dario D'Ambruoso, Donato Barone, Giuseppe Mastronardi, Vitoantonio Bevilacqua
Publikováno v:
INISTA
Introduction and objective: the purpose of this work is to design and implement an innovative tool to recognize 16 different human gestural actions and use them to predict 7 different emotional states. The solution proposed in this paper is based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::806ab017e674b970e1802b0656c8a409
http://hdl.handle.net/11589/22278
http://hdl.handle.net/11589/22278
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783319093383
ICIC (2)
ICIC (2)
In this paper a multimodal fingers classification to detect touch points over general interactive surfaces is presented. Three different classifiers have been used: artificial neural networks, decision trees and rules learner. The data set has been c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80483f290060e2c5084356e810a4eb4e
http://hdl.handle.net/11589/84229
http://hdl.handle.net/11589/84229
Autor:
Donato Barone, Dario D'Ambruoso, Michele Pantaleo, Marco Suma, Claudio Loconsole, Nicola Nuzzolese, Fabio Stroppa, Alessio Volpe, Vitoantonio Bevilacqua
Publikováno v:
INISTA
Falls are one of the major risks of injury for elderly living alone at home. Computer vision-based systems offer a new, low-cost and promising solution for fall detection. This paper presents a new fall-detection tool, based on a commercial RGB-D cam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebf5a9b684970b32cded79091c2ebd76
http://hdl.handle.net/11382/462975
http://hdl.handle.net/11382/462975
Publikováno v:
2011 IEEE International Symposium on Medical Measurements and Applications.
Recognizing facial emotions is an important aspect of interpersonal communication that may be impaired in various neurological disorders: Asperger's syndrome, Autism, Schizoid Personality, Parkinsonism, Urbach-Wiethe, Amyotrophic Lateral Sclerosis, B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4086ecce32e6a7c25bed90fc46b1bc06
https://doi.org/10.1109/memea.2011.5966766
https://doi.org/10.1109/memea.2011.5966766
Autor:
Vitoantonio Bevilacqua, Marco Suma, Dario D’Ambruoso, Giovanni Mandolino, Michele Caccia, Simone Tucci, Emanuela De Tommaso, Giuseppe Mastronardi
Publikováno v:
Advanced Intelligent Computing ISBN: 9783642247279
ICIC (1)
ICIC (1)
It is well known that non verbal communication is sometimes more useful and robust than verbal one in understanding sincere emotions by means of spontaneous body gestures and facial expressions analysis acquired from video sequences. At the same time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb13190058ea7a9992f4b4339ecd243d
https://doi.org/10.1007/978-3-642-24728-6_58
https://doi.org/10.1007/978-3-642-24728-6_58