RecognitionOfHumanActivitiesAndPosturalTransitions

Data analysis in the domains of time and frequency, using signals collected from mobile phone accelerometers in order to classify/identify the activity performed, corresponding to 12 different movements, namely:

Dynamic

WALKING

WALKING_UPSTAIRS

WALKING_DOWNSTAIRS

Static
```
SITTING

STANDING

LAYING
```

Transition

STAND_TO_SIT

SIT_TO_STAND

SIT_TO_LIE

LIE_TO_SIT

STAND_TO_LIE

LIE_TO_STAND

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
data_labels		data_labels
data_pl5		data_pl5
.gitignore		.gitignore
DFT.m		DFT.m
Ex3.m		Ex3.m
Ex4.m		Ex4.m
Ex4_1.m		Ex4_1.m
Ex4_2.m		Ex4_2.m
Ex4_3.m		Ex4_3.m
Ex4_4.m		Ex4_4.m
Ex4_5.m		Ex4_5.m
README.md		README.md
activity.m		activity.m
activity_labels.txt		activity_labels.txt
calculate_allDFTs.m		calculate_allDFTs.m
calculate_prevalent_freq.m		calculate_prevalent_freq.m
calculate_prevalent_freq_diff.m		calculate_prevalent_freq_diff.m
calculate_spectral_centroid.m		calculate_spectral_centroid.m
calculate_steps.m		calculate_steps.m
data_users.mat		data_users.mat
defineColor.m		defineColor.m
ex5.m		ex5.m
find_prevalent_frequency.m		find_prevalent_frequency.m
find_spectral_centroid.m		find_spectral_centroid.m
importData.m		importData.m
importLabels.m		importLabels.m
init.m		init.m
projectATD2020.m		projectATD2020.m
represent_dft.m		represent_dft.m
represent_grafica.m		represent_grafica.m

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