Skip to main content
. 2023 Oct 30;9:e1619. doi: 10.7717/peerj-cs.1619
Algorithm 1 Features Abstraction
Input: Raw_data
Output: Feature_vect (fe1,fe2,…….fen)
ExtarctedfeaturesVector← []
Data← AcqData_F_F()
Data_dim_F1 ← Acq_F1_dim()
Step PAP(Video, RGB)
Features_Vectset← []
Denoise_Input_Data ← Denoising()
Sampled_Data(FilteredData)
While exit invalid state do
 [Gmf, 3DpMApf]← ExtractlFeatures(sample data)
Feature_Vect←[ Gmf, 3DpMApf]
Return MainfeaturesVector