This software annotates
.c3d gait trajectories with Heel-Strike and Foot-Off events. It uses neural networks (more precisely Long Short Term Memory networks) through
You only need
btk (https://pypi.python.org/pypi/btk), all other dependencies will be installed automatically.
Good news! Linux and Mac OS come with python distributions ready to use. You can go to the Installation step
You need to install python, for example from here https://www.python.org/downloads/windows/
Once python is installed, open terminal/command prompt and type
pip install eventdetector
This will install
eventdetector scripts with all required dependencies
Navigate Terminal or Command Prompt to a directory with
.c3d files you wish to annotate with Heel-Strike and Foot-Off events. Then type
event-detector [file-in.c3d] [file-out.c3d]
[file-in.c3d] is the name of the file to annotate and
[file-out.c3d] is the name of the new file in which you want to store annotation.
This research was sponsored by the Mobilize Center, a National Institutes of Health Big Data to Knowledge (BD2K) Center of Excellence supported through Grant U54EB020405. The model is trained on the data from Gillette Children's Specialty Healthcare, in accordance with the data sharing agreement. For the training scripts refer to https://github.com/kidzik/event-detector-train