Results 221 to 230 of about 312,271 (274)
Facial features associated with fear and happiness attract gaze during brief exposure without enhancing emotion recognition. [PDF]
Yang YF, Gamer M.
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Recognition of Plural Grouping Patterns in Trademarks for CBIR According to the Gestalt Psychology
Kôji Abe
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Recognition of temporal patterns: From engineering to psychology and back again.
An overview is presented on research conducted in our lab to quantify the underlying principles behind the recognition of temporal patterns. We have been developing a theory based upon pattern matching and time-series analysis, which allows us to model and understand how humans recognize familiar patterns evolving over time and how performance degrades
Willy Wong
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2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022
This paper studies the application of traditional graphic pattern recognition algorithms in cultural and creative product design and system development.
Nan Xu
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This paper studies the application of traditional graphic pattern recognition algorithms in cultural and creative product design and system development.
Nan Xu
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International Conference on Pattern Recognition Applications and Methods
: Automated personality trait assessment from handwriting analysis offers applications in psychology, human-computer interaction, and personal profiling.
Marzieh Adeli Shamsabad, C. Suen
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: Automated personality trait assessment from handwriting analysis offers applications in psychology, human-computer interaction, and personal profiling.
Marzieh Adeli Shamsabad, C. Suen
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Task characteristics influence facial emotion recognition age-effects: A meta-analytic review.
Psychology and Aging, 2020Relative to their young counterparts, older adults are poorer at recognizing facial expressions. A 2008 meta-analysis of 17 facial emotion recognition data sets showed that these age-related difficulties are not uniform. Rather, they are greatest for the
Grace S Hayes +7 more
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Pattern Recognition and Image Analysis, 2009
Classical models in a human-machine system for physiological and psychological research are reviewed. Actual experimental data in this realm of science for psychophysiology are given. Main logical conclusions that can be used to develop software suitable for physiological and psychological research are made.
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Classical models in a human-machine system for physiological and psychological research are reviewed. Actual experimental data in this realm of science for psychophysiology are given. Main logical conclusions that can be used to develop software suitable for physiological and psychological research are made.
openaire +1 more source

