nlp feature

This commit is contained in:
Vijay Yadev
2020-11-13 01:03:23 -05:00
parent 920a7633cd
commit dae5eb3cd4
7 changed files with 264 additions and 7 deletions

View File

@@ -2,7 +2,7 @@ derive_feature:
#DBM Feature Group
FEATURE_GROUP: ['FAC_ASYM', 'FAC_AU', 'FAC_EXP', 'FAC_LMK', 'ACO_INT', 'ACO_FF', 'ACO_HNR', 'ACO_GNE', 'ACO_FM',
'ACO_JITTER','ACO_SHIMMER', 'ACO_PAUSE', 'ACO_VFS', 'ACO_MFCC', 'MOV_HM', 'MOV_HP', 'EYE_BLINK']
'ACO_JITTER','ACO_SHIMMER', 'ACO_PAUSE', 'ACO_VFS', 'ACO_MFCC', 'MOV_HM', 'MOV_HP', 'EYE_BLINK', 'NLP_SPEECH']
#Feature group output file extensions
FAC_ASYM_LOC: _facasym
@@ -22,6 +22,7 @@ derive_feature:
MOV_HM_LOC: _headmov
MOV_HP_LOC: _headpose
EYE_BLINK_LOC: _eyeblinks
NLP_SPEECH_LOC: _nlp
#Facial category feature group
FAC_ASYM: ['fac_AsymMaskMouth', 'fac_AsymMaskEyebrow', 'fac_AsymMaskEye', 'fac_AsymMaskCom']
@@ -65,6 +66,12 @@ derive_feature:
MOV_HP: ['mov_Hpose_Dist','mov_Hpose_Pitch','mov_Hpose_Yaw','mov_Hpose_Roll']
EYE_BLINK: ['mov_blink_ear', 'vid_dur', 'mov_blinkdur']
#NLP category feature group
NLP_SPEECH: ['nlp_numSentences', 'nlp_singPronPerAns', 'nlp_singPronPerSen', 'nlp_pastTensePerAns', 'nlp_pastTensePerSen',
'nlp_pronounsPerAns', 'nlp_pronounsPerSen', 'nlp_verbsPerAns', 'nlp_verbsPerSen', 'nlp_adjectivesPerAns',
'nlp_adjectivesPerSen', 'nlp_nounsPerAns', 'nlp_nounsPerSen', 'nlp_sentiment_mean', 'nlp_mattr', 'nlp_wordsPerMin',
'nlp_totalTime']
#Calculation for variables
# Facial Asymmetry
fac_AsymMaskMouth: ['mean', 'std']
@@ -248,3 +255,22 @@ derive_feature:
mov_blink_ear: ['mean', 'std']
vid_dur: ['count']
mov_blinkdur: ['mean', 'std']
#NLP feature
nlp_numSentences: ['mean']
nlp_singPronPerAns: ['mean']
nlp_singPronPerSen: ['mean']
nlp_pastTensePerAns: ['mean']
nlp_pastTensePerSen: ['mean']
nlp_pronounsPerAns: ['mean']
nlp_pronounsPerSen: ['mean']
nlp_verbsPerAns: ['mean']
nlp_verbsPerSen: ['mean']
nlp_adjectivesPerAns: ['mean']
nlp_adjectivesPerSen: ['mean']
nlp_nounsPerAns: ['mean']
nlp_nounsPerSen: ['mean']
nlp_sentiment_mean: ['mean']
nlp_mattr: ['mean']
nlp_wordsPerMin: ['mean']
nlp_totalTime: ['mean']