Michele Fiorentino
Michele Fiorentino, Associate Professor at DMMM, Politecnico di Bari. 1999 BS and MS degree in Mechanical Engineering and in 2003 the PhD degree in Advanced Manufacturing Systems from the Polytechnic Institute of Bari, Italy. In 2000 visiting researcher at Fraunhofer Institute of Computer Graphics Darmstadt, Germany, in 2001 at IDAV, university of California, USA, in 2006 at virtual reality Lab, University of Transilvania, Brasov, Romania, in 2007 at ICG University of Technology, Graz, Austria, in 2012 at Heinz Nixdorf Institut, Paderborn, Germany. Currently is an assistant professor of Simulation and Digital mock up at School of Mechanical Engineering at Polytechnic Institute of Bari. In 2001 he was granted a Leonardo Fellowship, in 2003 a best Paper Award INI-GraphicsNet, and from 2003 he is a member of Centre of Excellence for Computational Mechanics (CEMeC) of Polytechnic Institute of Bari. He published articles in more than 12 international journals, 3 book chapters and 32 conferences. He participated in national and international projects, industrial collaborations and currently is a reviewer of international journals and conferences: ASME, CAD, IJDEM, COMSIS, etc.. His main research interests are: CAX methods, human computer interaction, Virtual, Augmented and Mixed Reality for Industrial applications. He is an active member of ADM, Italian Mechanical Drawing Association.
Supervisors: Andre Stork, Raffaele de Amicis, Giuseppe Monno, Doru Talaba , and Dieter Schmalstieg
Phone: 00390805962800
Address: Viale Japigia 186
Supervisors: Andre Stork, Raffaele de Amicis, Giuseppe Monno, Doru Talaba , and Dieter Schmalstieg
Phone: 00390805962800
Address: Viale Japigia 186
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Papers by Michele Fiorentino
monitor and keyboard, presents evident limits in the engineering
design reviewactivities, when real and virtual models
must be explored and compared, and also in “outside-theoffice”
environments, where the desk is not available. The
presented research aims to explore a new generation of
gesture-based interfaces, called “natural interfaces”, which
promise an intuitive control using free hands and without
the desk support. We present a novel natural design review
workspace which acquires user motion using a combination
of video and depth cameras and visualizes the CAD
models using monitor-based augmented reality. We implemented
a bimanual egocentric pointer paradigm by a virtual
active surface in front of the user. We used a XML configurable
approach to explore bimanual gesture commands
to browse, select, dis/assembly and explode 3D complex
models imported in standard STEP format. Our experiments
demonstrated that the virtual active surface is able
to effectively trigger a set of CAD specific commands and to
improve technical navigation in non-desktop environments:
e.g. shop floor maintenance, on site quality control, etc
wearable device to improve sport training in lower limb. The
system consists of a pair of spandex shorts which embed a
processor unit, 2 accelerometers, 2 vibro motors, a SD card
reader\writer module and a real time clock. The accelerometers
are located in proximity to the knees and are used to measure in
real time the tri-axial accelerations for each leg. We present a
novel algorithm to compute asymmetry from the 3 axial sensor
data. We propose two applications of the system: for real time
active correction and for data logging. In the correction mode,
adjustment signal are sent to the user during the training by
vibrations. The vibration signal is sent to the specific leg and its
intensity is related to the entity of required correction . The
second application of the system is as datalogger. The device
stores all the training data in a SD card. Those log files can be
processed using a dedicated application on a PC. This
information can be very useful for long term analysis. This novel
approach to sport training is very useful to athletes and sport
medicine doctor in order to improve posture, efficiency and
performance, but it can be also useful in other medical appliances
such as rehabilitation.
monitor and keyboard, presents evident limits in the engineering
design reviewactivities, when real and virtual models
must be explored and compared, and also in “outside-theoffice”
environments, where the desk is not available. The
presented research aims to explore a new generation of
gesture-based interfaces, called “natural interfaces”, which
promise an intuitive control using free hands and without
the desk support. We present a novel natural design review
workspace which acquires user motion using a combination
of video and depth cameras and visualizes the CAD
models using monitor-based augmented reality. We implemented
a bimanual egocentric pointer paradigm by a virtual
active surface in front of the user. We used a XML configurable
approach to explore bimanual gesture commands
to browse, select, dis/assembly and explode 3D complex
models imported in standard STEP format. Our experiments
demonstrated that the virtual active surface is able
to effectively trigger a set of CAD specific commands and to
improve technical navigation in non-desktop environments:
e.g. shop floor maintenance, on site quality control, etc
wearable device to improve sport training in lower limb. The
system consists of a pair of spandex shorts which embed a
processor unit, 2 accelerometers, 2 vibro motors, a SD card
reader\writer module and a real time clock. The accelerometers
are located in proximity to the knees and are used to measure in
real time the tri-axial accelerations for each leg. We present a
novel algorithm to compute asymmetry from the 3 axial sensor
data. We propose two applications of the system: for real time
active correction and for data logging. In the correction mode,
adjustment signal are sent to the user during the training by
vibrations. The vibration signal is sent to the specific leg and its
intensity is related to the entity of required correction . The
second application of the system is as datalogger. The device
stores all the training data in a SD card. Those log files can be
processed using a dedicated application on a PC. This
information can be very useful for long term analysis. This novel
approach to sport training is very useful to athletes and sport
medicine doctor in order to improve posture, efficiency and
performance, but it can be also useful in other medical appliances
such as rehabilitation.