Extracting human emotions at different places based on facial expressions and spatial clustering analysis.
Yuhao KangQingyuan JiaSong GaoXiaohuan ZengYueyao WangStephan AngsuesserYu LiuXinyue YeTeng FeiPublished in: CoRR (2019)
Keyphrases
- facial expressions
- clustering analysis
- human emotion
- emotional state
- emotion recognition
- facial expression analysis
- facial expression recognition
- virtual humans
- clustering method
- human faces
- video sequences
- fuzzy clustering
- cluster analysis
- clustering algorithm
- data clustering
- affect sensing
- human movements
- microarray
- spatial and temporal
- data mining
- face recognition
- facial images
- face images
- spatial information
- facial features
- anomaly detection
- affective states
- recognition of facial expressions
- facial action units
- databases
- action units
- image sequences
- image processing
- data analysis
- k means
- maximum likelihood