TY - JOUR
T1 - The multimod application framework
T2 - A rapid application development tool for computer aided medicine
AU - Viceconti, Marco
AU - Zannoni, Cinzia
AU - Testi, Debora
AU - Petrone, Marco
AU - Perticoni, Stefano
AU - Quadrani, Paolo
AU - Taddei, Fulvia
AU - Imboden, Silvano
AU - Clapworthy, Gordon
PY - 2007/2
Y1 - 2007/2
N2 - This paper describes a new application framework (OpenMAF) for rapid development of multimodal applications in computer-aided medicine. MAF applications are multimodal in data, in representation, and in interaction. The framework supports almost any type of biomedical data, including DICOM datasets, motion-capture recordings, or data from computer simulations (e.g. finite element modeling). The interactive visualization approach (multimodal display) helps the user interpret complex datasets, providing multiple representations of the same data. In addition, the framework allows multimodal interaction by supporting the simultaneous use of different input-output devices like 3D trackers, stereoscopic displays, haptics hardware and speech recognition/synthesis systems. The Framework has been designed to run smoothly even on limited power computers, but it can take advantage of all hardware capabilities. The Framework is based on a collection of portable libraries and it can be compiled on any platform that supports OpenGL, including Windows, MacOS X and any flavor of Unix/linux.
AB - This paper describes a new application framework (OpenMAF) for rapid development of multimodal applications in computer-aided medicine. MAF applications are multimodal in data, in representation, and in interaction. The framework supports almost any type of biomedical data, including DICOM datasets, motion-capture recordings, or data from computer simulations (e.g. finite element modeling). The interactive visualization approach (multimodal display) helps the user interpret complex datasets, providing multiple representations of the same data. In addition, the framework allows multimodal interaction by supporting the simultaneous use of different input-output devices like 3D trackers, stereoscopic displays, haptics hardware and speech recognition/synthesis systems. The Framework has been designed to run smoothly even on limited power computers, but it can take advantage of all hardware capabilities. The Framework is based on a collection of portable libraries and it can be compiled on any platform that supports OpenGL, including Windows, MacOS X and any flavor of Unix/linux.
KW - Application framework
KW - Computer-aided medicine
KW - Data fusion
UR - http://www.scopus.com/inward/record.url?scp=33846336794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846336794&partnerID=8YFLogxK
U2 - 10.1016/j.cmpb.2006.09.010
DO - 10.1016/j.cmpb.2006.09.010
M3 - Article
C2 - 17059851
AN - SCOPUS:33846336794
SN - 0169-2607
VL - 85
SP - 138
EP - 151
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 2
ER -