Linard Filli

Hello, maybe you will find something like that when asking Jean-Luc SAVET, the creator of locometer. This document is about the locometer https://pepite-depot.univ-lille2.fr/nuxeo/site/esupversions/9bd0a98a-0a77-4fe5-a039-58f4423b100a . There are very few publications but it could be promising.

Best regards.

Dear Dr. Linard Filli ,

Maybe the paper below may be useful for your application:

Article Automatic real-time gait event detection in children using d...

Code repository:

https://github.com/kidzik/event-detector

However, Dr. Łukasz Kidziński would rewrite a Python component to replace the BTK 0.3 module that had compatibility flaws. Maybe he can clarify if Python program is fully operational.

Revised code: Get rid of BTK dependency

https://github.com/kidzik/event-detector/tree/ezc3d

I hope this information is helpful.

Best Regards,

Wagner de Godoy

Wagner de Godoy Thanks a lot for the interesting paper using data-driven artificial neural networks to predict foot-off and foot-contact. The proposed algorithm seems promising for our patient population.

Best regards,

Linard

Lionel Guérin Great hint! I will get in touch with Jean-Luc Savet.

Thank you and best regards,

Linard

Hello,

the french congress of movement analysis ran a hackahaton about this topic. The winner from Brest Hospital, Mathieu Lempereur, proposes an algorithm called deepevent based on neural network using tensor flow. The paper is ongoing and the code will be host in github.

keep in touch.

Hey Fabien, I was following the hackathon with great interest. Look forward to the paper and great that you plan to share the project on GitHub!

Fabien Leboeuf

great, thanks for the hint. Looking forward to seeing the results of the mentioned paper.

Best regards,

Linard