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Bit.Country Ambassador Program
event-detector
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 keras
and tensorflow
packages.
Requirements
You only need python
and btk
(https://pypi.python.org/pypi/btk), all other dependencies will be installed automatically.
Linux, Mac OS
Good news! Linux and Mac OS come with python distributions ready to use. You can go to the Installation step
Windows
You need to install python, for example from here https://www.python.org/downloads/windows/
Instalation
Once python is installed, open terminal/command prompt and type
pip install eventdetector
This will install eventdetector
scripts with all required dependencies
Running
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]
where [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.
Enjoy!
Credits
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