Title :
A methodology for the evidential analysis of computer-generated animation (CGA)
Author :
Schofield, D. ; Hussin, N. ; Shalaby, M. Tarek
Author_Institution :
Nottingham Univ., UK
Abstract :
This paper demonstrates a sample analysis derived from a full analysis of the legal items of evidence for the purpose of generating forensic animation for court litigation. The first section explains the vital elements of the research. The second section elucidates the case studies. The classification of evidence has been formed into written, spatial, visual and eyewitness statements. Section three of this paper, describe the conceptual features from the analytical standpoint of knowledge. This section also explains the interpretations made in compliance with the literature from knowledge. The methodology of the sample analysis has been structured in section four. This part of the research includes the scores that have been assigned in a quasi-experimental stage. Subsequently, a number of scores have been manipulated in a pragmatic stage to demonstrate the significance of several factors. The final section highlights a number of possible findings for the evidential analysis of computer-generated forensic animations.
Keywords :
computer animation; knowledge representation; law administration; computer-generated animation; computer-generated forensic animations; court litigation; evidential analysis; forensic animation; sample analysis; Animation; Computer displays; Forensics; Law; Legal factors; Motorcycles; Road accidents; Testing; Computer-Generated Animation; Evidence; Forensic Animation; Knowledge; Visual;
Conference_Titel :
Information Visualisation, 2005. Proceedings. Ninth International Conference on
Print_ISBN :
0-7695-2397-8