---
# System prepended metadata

title: F̷͎͂̔i̶̤̎̓ͅn̷̘̪̓à̴̛̮̗̈l̴̬̙͎̄́̐͝ ̴̭̟̘̬̂͒͒p̶̱̣̖̜̏͊̀r̸̜̫̻̘͗̈͝e̷͍̹̤̳͌s̴̖̅̅͜ḙ̵̈́̈́͂̒n̷̖͍̙͑͋̒̓͜ẗ̵̨͈̹̓͝á̷̦͐̎̈́t̸̜̮̅i̴̖̩̮̥͊̏̕o̸̱̊̀n̵̨̻͑̅̏

---

# F̷͎͂̔i̶̤̎̓ͅn̷̘̪̓à̴̛̮̗̈l̴̬̙͎̄́̐͝ ̴̭̟̘̬̂͒͒p̶̱̣̖̜̏͊̀r̸̜̫̻̘͗̈͝e̷͍̹̤̳͌s̴̖̅̅͜ḙ̵̈́̈́͂̒n̷̖͍̙͑͋̒̓͜ẗ̵̨͈̹̓͝á̷̦͐̎̈́t̸̜̮̅i̴̖̩̮̥͊̏̕o̸̱̊̀n̵̨̻͑̅̏


## Only LDA on original
Training accuracy 0.8980380100041584 +/- 0.010462038594023166
Cross-validation accuracy: 0.6904217154469705 +/- 0.03261409989244559
('kbest', SelectKBest(k=40)),
                ('classifier',
                 LogisticRegression(C=0.0041753189365604,))

![](https://i.imgur.com/8uyUnm4.png)
![](https://i.imgur.com/UiXLciC.png)
![](https://i.imgur.com/aUo9OtL.png)

Fold 0: Training accuracy 0.8831024930747923
Fold 0: Cross-validation accuracy: 0.7461139896373057
Fold 1: Training accuracy 0.9121071012805588
Fold 1: Cross-validation accuracy: 0.6469344608879493
Fold 2: Training accuracy 0.8895538628944505
Fold 2: Cross-validation accuracy: 0.6968838526912181
Fold 3: Training accuracy 0.9004149377593361
Fold 3: Cross-validation accuracy: 0.6884920634920635
Fold 4: Training accuracy 0.905011655011655
Fold 4: Cross-validation accuracy: 0.6736842105263158

## LDA on original + finger lenghts
Training accuracy 0.8836466849714159 +/- 0.013989900906068593
Cross-validation accuracy: 0.7017596153840922 +/- 0.024295391011192966
('kbest', SelectKBest(k=45)),
                ('classifier',
                 LogisticRegression(C=0.0018873918221350976))
                 
![](https://i.imgur.com/lnXrWp1.png)
![](https://i.imgur.com/zTAAN5g.png)
![](https://i.imgur.com/P4CwY1L.png)

Fold 0: Training accuracy 0.8686980609418282
Fold 0: Cross-validation accuracy: 0.7383419689119171
Fold 1: Training accuracy 0.9045401629802096
Fold 1: Cross-validation accuracy: 0.678646934460888
Fold 2: Training accuracy 0.8677910772578891
Fold 2: Cross-validation accuracy: 0.7138810198300283
Fold 3: Training accuracy 0.8855957320687611
Fold 3: Cross-validation accuracy: 0.7063492063492064
Fold 4: Training accuracy 0.8916083916083916
Fold 4: Cross-validation accuracy: 0.671578947368421

## LDA on original + body distances
Training accuracy 0.9234190335412951 +/- 0.010105395112153179
Cross-validation accuracy: 0.690323389394001 +/- 0.04008191227979382
('kbest', SelectKBest(k=50)),
                ('classifier',
                 LogisticRegression(C=0.01268961003167922,))

![](https://i.imgur.com/Jl01JzE.png)
![](https://i.imgur.com/rUEWsrk.png)
![](https://i.imgur.com/6ZnVMkd.png)

Fold 0: Training accuracy 0.9119113573407203
Fold 0: Cross-validation accuracy: 0.7538860103626943
Fold 1: Training accuracy 0.9313154831199069
Fold 1: Cross-validation accuracy: 0.6448202959830867
Fold 2: Training accuracy 0.9102285092491839
Fold 2: Cross-validation accuracy: 0.6940509915014165
Fold 3: Training accuracy 0.9312388855957321
Fold 3: Cross-validation accuracy: 0.7083333333333334
Fold 4: Training accuracy 0.9324009324009324
Fold 4: Cross-validation accuracy: 0.6505263157894737

## LDA on original + trajectories
Training accuracy 0.8944332467039746 +/- 0.012385095354712458
Cross-validation accuracy: 0.6924525071599851 +/- 0.030697218877779365
('kbest', SelectKBest(k=40)),
                ('classifier',
                 LogisticRegression(C=0.0041753189365604,))

![](https://i.imgur.com/oqFQCwS.png)
![](https://i.imgur.com/fWkTAuG.png)
![](https://i.imgur.com/vjZAAfa.png)

Fold 0: Training accuracy 0.8764542936288089
Fold 0: Cross-validation accuracy: 0.7409326424870466
Fold 1: Training accuracy 0.9121071012805588
Fold 1: Cross-validation accuracy: 0.6553911205073996
Fold 2: Training accuracy 0.8852013057671382
Fold 2: Cross-validation accuracy: 0.7082152974504249
Fold 3: Training accuracy 0.8986366330764671
Fold 3: Cross-validation accuracy: 0.6924603174603174
Fold 4: Training accuracy 0.8997668997668997
Fold 4: Cross-validation accuracy: 0.6652631578947369

## LDA on original + finger bent
Training accuracy 0.9125020330708873 +/- 0.009039664029101696
Cross-validation accuracy: 0.688654467986004 +/- 0.029824696957402815
('kbest', SelectKBest(k=47)),
                ('classifier',
                 LogisticRegression(C=0.010826367338740546,))

![](https://i.imgur.com/tFbycvF.png)
![](https://i.imgur.com/xSeW3xM.png)
![](https://i.imgur.com/aMDS5zK.png)

Fold 0: Training accuracy 0.9024930747922437
Fold 0: Cross-validation accuracy: 0.7409326424870466
Fold 1: Training accuracy 0.9243306169965075
Fold 1: Cross-validation accuracy: 0.653276955602537
Fold 2: Training accuracy 0.9020674646354734
Fold 2: Cross-validation accuracy: 0.6912181303116147
Fold 3: Training accuracy 0.9134558387670421
Fold 3: Cross-validation accuracy: 0.6904761904761905
Fold 4: Training accuracy 0.9201631701631702
Fold 4: Cross-validation accuracy: 0.6673684210526316

## LDA + body distances + finger lengths
Training accuracy 0.8821189569286 +/- 0.012265950360859616
Cross-validation accuracy: 0.7038675327105605 +/- 0.023874283302212328
('kbest', SelectKBest(k=51)),
                ('classifier',
                 LogisticRegression(C=0.00221221629107045,))
                 
![](https://i.imgur.com/Otsf9hp.png)
![](https://i.imgur.com/QT0ccg8.png)
![](https://i.imgur.com/ia6TzI9.png)

Fold 0: Training accuracy 0.8653739612188366
Fold 0: Cross-validation accuracy: 0.7227979274611399
Fold 1: Training accuracy 0.89988358556461
Fold 1: Cross-validation accuracy: 0.6744186046511628
Fold 2: Training accuracy 0.8715995647442872
Fold 2: Cross-validation accuracy: 0.7393767705382436
Fold 3: Training accuracy 0.8873740367516301
Fold 3: Cross-validation accuracy: 0.6964285714285714
Fold 4: Training accuracy 0.8863636363636364
Fold 4: Cross-validation accuracy: 0.6863157894736842


## Body distances min (8 frame mins)
![](https://i.imgur.com/rxfTGuU.png)
![](https://i.imgur.com/u8u9lmk.png)
![](https://i.imgur.com/90xlv81.png)
![](https://i.imgur.com/5iPI2eg.png)
![](https://i.imgur.com/HRCFIkr.png)
![](https://i.imgur.com/DjmNrgL.png)
![](https://i.imgur.com/ResGAVh.png)
![](https://i.imgur.com/aiLGEMV.png)


## Body distances normal (8 frame means)
![](https://i.imgur.com/eYxBtsI.png)
![](https://i.imgur.com/xw2xLEH.png)
![](https://i.imgur.com/vnylO8K.png)
![](https://i.imgur.com/XyBzLbj.png)
![](https://i.imgur.com/MhodcBO.png)
![](https://i.imgur.com/ytlK5Zx.png)
![](https://i.imgur.com/UfRXUo2.png)
![](https://i.imgur.com/8pYFtjv.png)


