TKF-2020

h1. Wiki

h2. Promising

https://github.com/marian-margeta/gait-recognition

```

$ python dummy_pose_estimation.py 

Traceback (most recent call last):

  File "dummy_pose_estimation.py", line 5, in <module>

    from scipy.misc import imresize, imread

ImportError: cannot import name 'imresize'

```

Solved by using ImageIO:

```

import imageio

from PIL import Image

from human_pose_nn import HumanPoseIRNetwork

net_pose = HumanPoseIRNetwork()

net_pose.restore('models/MPII+LSP.ckpt')

img = imageio.imread('images/patient.png')

img = Image.fromarray(img).resize((299, 299))

```

h2. Meeting notes

h3. 19.5.2020

Important:

Look into optical flows! There's speed patterns which cluster and thus can be used to classify gait.

Discussion:

In the project report we have to be able to answer the following questions:

* state why the particular method was selected

* what we compared to

* perfomance in the literature

* we have to know what we are talking about. for example, in case of neural network cnn and the whole architecture

If using machine learning:

* consider different metrics/parameters to perform the abnormal and normal gait classification

* study which parameters yield the best classification results

If using the neural network to build the skeleton:

* from skeleton, extract features, then use classical machine learning (knn, svm, etc) to perform the classification. 

Questions:

* Is there a specific programming language that perform better in this domain? No, we can choose any programming language. Matlab and Python might be the most commonly used.

* If we were to choose the neural network to skeleton approach, how could we extract gait parameters and features from the skeelton? The shared research paper provides inspiration how to extract typical bioimechanical gait features.

h2. Evaluated software

h3. DLTdv8

MATLAB program to perform motion analysis. Promising but automatic point tracking didn't work. Neural network point tracker feature of the software was not evaluated.

https://bitbucket.org/thedrick/dltdv/src/default/

h3. Mokka - Motion kinematic & kinetic analyzer

Professional software for motion analysis. Requires C3D files, thus not applicable to our project.

h3. MOtoNMS

https://github.com/RehabEngGroup/MOtoNMS

h2. To be evaluated:

https://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv/

https://github.com/gsimchoni/mocap

https://github.com/gsimchoni/mocap/blob/master/R/readAMC.R

https://github.com/browarsoftware/RMoCap