[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Karbauskaitė et al., 2020 - Google Patents

Kriging predictor for facial emotion recognition using numerical proximities of human emotions

Karbauskaitė et al., 2020

View HTML @Full View
Document ID
5632192671666642178
Author
Karbauskaitė R
Sakalauskas L
Dzemyda G
Publication year
Publication venue
Informatica

External Links

Snippet

Emotion recognition from facial expressions has gained much interest over the last few decades. In the literature, the common approach, used for facial emotion recognition (FER), consists of these steps: image pre-processing, face detection, facial feature extraction, and …
Continue reading at content.iospress.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30017Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023Querying
    • G06F17/30029Querying by filtering; by personalisation, e.g. querying making use of user profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking

Similar Documents

Publication Publication Date Title
Dewan et al. Engagement detection in online learning: a review
Shoumy et al. Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals
Stöckli et al. Facial expression analysis with AFFDEX and FACET: A validation study
KR101680995B1 (en) Brain computer interface (bci) system based on gathered temporal and spatial patterns of biophysical signals
US8898091B2 (en) Computing situation-dependent affective response baseline levels utilizing a database storing affective responses
Karbauskaitė et al. Kriging predictor for facial emotion recognition using numerical proximities of human emotions
US9691183B2 (en) System and method for dynamically generating contextual and personalized digital content
US20200342979A1 (en) Distributed analysis for cognitive state metrics
US20170095192A1 (en) Mental state analysis using web servers
Rescigno et al. Personalized models for facial emotion recognition through transfer learning
Wang et al. Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
Shahzad et al. Role of zoning in facial expression using deep learning
Rokhsaritalemi et al. Exploring emotion analysis using artificial intelligence, geospatial information systems, and extended reality for urban services
Wang et al. Clustering-based emotion recognition micro-service cloud framework for mobile computing
Zhang et al. Weakly-supervised learning for fine-grained emotion recognition using physiological signals
Lu Application of wireless network and machine learning algorithm in entrepreneurship education of remote intelligent classroom
Meudt et al. Going further in affective computing: how emotion recognition can improve adaptive user interaction
Verma et al. Affective state recognition from hand gestures and facial expressions using Grassmann manifolds
Kerdvibulvech A digital human emotion modeling application using metaverse technology in the post-COVID-19 era
Del Bimbo et al. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part III
Schuller Acquisition of affect
Rincon et al. Using emotions for the development of human-agent societies
Wang et al. Deep learning (DL)-enabled system for emotional big data
Chaudhari et al. Emotion recognition system via facial expressions and speech using machine learning and deep learning techniques
Maddu et al. Online learners’ engagement detection via facial emotion recognition in online learning context using hybrid classification model