eve
eventdetector
pypi i eventdetector
eve

eventdetector

Machine Learning model for detecting gait events in mocap data

by Łukasz Kidziński

0.9 (see all)License:Apache 2.0
pypi i eventdetector
Readme

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

GitHub Stars

12

LAST COMMIT

1yr ago

MAINTAINERS

1

CONTRIBUTORS

2

OPEN ISSUES

1

OPEN PRs

0
VersionTagPublished
0.9
5yrs ago
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