ICARUS: Modelling Human Falls for Forensics - Passive Models
doi: 10.4121/20054996
Falls are a significant cause of injury-associated deaths. In cases where the events leading up to a fall are unclear, a forensic investigation may be required to uncover the cause. During the forensic reconstruction process, tools for objective scenario-evaluation are needed. Computer simulations appear to be a promising tool for fall reconstruction, being cheaper in terms of both money and time than the alternative of physical scenario-reconstruction. Although software packages intended for modelling the kinetics and kinematics of the human body exist, none were found that were validated specifically for fall-reconstruction. The aim of the current study was to validate the performance of human body modelling software Madymo, intended for use in car-crash simulations, in reconstructing human falling movements. This was achieved by first performing experiments in which the kinematics and kinetics of participants were recorded during falls from a short height. Next, the initial conditions taken from the experimentally recorded falls were used as input to run corresponding simulations using Madymo. Finally, the results from the simulated falls were compared to those from the real falls, based on the posture just before landing. Our results suggest that Madymo is currently not yet suitable for use in reconstructing real human falls, and is therefore not yet fit for application in forensic investigations into falls.
This dataset provides all registered video, motion capture suit, simulations, data-processing code and processed data of this project.
- 2024-06-03 first online, published, posted
- Netherlands Forensic Institute
Netherlands Forensic Institute (NFI)
DATA
- 5,976 bytesMD5:
0c389706ff6a053bb5bee64e8f08f965
README.md - 6,088 bytesMD5:
2ed9d270a6df61065476b13fda9adee2
README.txt - 30,650,467,097 bytesMD5:
6c86486dfa878650b87ab32af79ce862
ICARUS-Dataset20240529.zip - 75 bytesMD5:
9e6e0bbb7eb01184fcd5baa4fbb6e9c1
PLEASE MIND - ZIP contents are 182 GB.txt -
download all files (zip)
30,650,479,236 bytes unzipped