Siegfried et al., 2019 - Google Patents
A deep learning approach for robust head pose independent eye movements recognition from videosSiegfried et al., 2019
View PDF- Document ID
- 6966106406540504147
- Author
- Siegfried R
- Yu Y
- Odobez J
- Publication year
- Publication venue
- Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
External Links
Snippet
Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D sensors to …
- 210000003128 Head 0 title abstract description 27
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00288—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bandini et al. | Analysis of facial expressions in parkinson's disease through video-based automatic methods | |
US8798374B2 (en) | Automated facial action coding system | |
Bosch | Detecting student engagement: Human versus machine | |
US20140145936A1 (en) | Method and system for 3d gesture behavior recognition | |
Borza et al. | In the eye of the deceiver: Analyzing eye movements as a cue to deception | |
Astler et al. | Increased accessibility to nonverbal communication through facial and expression recognition technologies for blind/visually impaired subjects | |
Wei et al. | Real-time head nod and shake detection for continuous human affect recognition | |
Lee et al. | Stare: Spatio-temporal attention relocation for multiple structured activities detection | |
Lan et al. | Eyesyn: Psychology-inspired eye movement synthesis for gaze-based activity recognition | |
Zhang et al. | Multiparty visual co-occurrences for estimating personality traits in group meetings | |
Dadiz et al. | Detecting depression in videos using uniformed local binary pattern on facial features | |
Mussgnug et al. | Automated interpretation of eye–hand coordination in mobile eye tracking recordings: Identifying demanding phases in human–machine interactions | |
Hindu et al. | An iot-enabled stress detection scheme using facial expression | |
Kawulok et al. | Dynamics of facial actions for assessing smile genuineness | |
Saxena et al. | Towards efficient calibration for webcam eye-tracking in online experiments | |
Fernández et al. | A convolutional neural network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children | |
Siegfried et al. | A deep learning approach for robust head pose independent eye movements recognition from videos | |
Gutstein et al. | Optical flow, positioning, and eye coordination: automating the annotation of physician-patient interactions | |
Min et al. | Visual attention on human face | |
Kandemir et al. | Facial expression classification with haar features, geometric features and cubic b㉠zier curves | |
Qian et al. | Intelligent Method for Real‐Time Portable EEG Artifact Annotation in Semiconstrained Environment Based on Computer Vision | |
Bouma et al. | Measuring cues for stand-off deception detection based on full-body nonverbal features in body-worn cameras | |
Lavi et al. | Biometric system based on kinect skeletal, facial and vocal features | |
Vedernikov et al. | Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features | |
Takabatake et al. | Construction of a liar corpus and detection of lying situations |