Face recognition and memory in congenital amusia

Tao, Weidong; Huayan, Huang; Haponenko, Hanna; Sun, Hong-Jin

doi:10.1371/journal.pone.0225519

Cited by 10 publications

(7 citation statements)

References 72 publications

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“…These studies show that there is a strong correlation between language and music related to the development of skills in these two domains and their cognitive processing, independent of formal musical training [77][78][79]. Other researchers highlight how music perception influences language acquisition [80], is linked to spatial processing, visual memory and speech perception [81][82][83] and how the structural redundancy of speech and musical communication shapes the individual's perceptual abilities [84,85]. Moreover, neuroimaging experiments document how music and language are processed in the same areas of the brain and in similar ways, on the basis of their syntactic integration mechanisms [86,87].…”

Section: Twin Studies Heritability and Hints To The Neuropsychology Of Musicmentioning

confidence: 95%

Human Genomics and the Biocultural Origin of Music

Beccacece

Abondio

Cilli

et al. 2021

IJMS

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Music is an exclusive feature of humankind. It can be considered as a form of universal communication, only partly comparable to the vocalizations of songbirds. Many trends of research in this field try to address music origins, as well as the genetic bases of musicality. On one hand, several hypotheses have been made on the evolution of music and its role, but there is still debate, and comparative studies suggest a gradual evolution of some abilities underlying musicality in primates. On the other hand, genome-wide studies highlight several genes associated with musical aptitude, confirming a genetic basis for different musical skills which humans show. Moreover, some genes associated with musicality are involved also in singing and song learning in songbirds, suggesting a likely evolutionary convergence between humans and songbirds. This comprehensive review aims at presenting the concept of music as a sociocultural manifestation within the current debate about its biocultural origin and evolutionary function, in the context of the most recent discoveries related to the cross-species genetics of musical production and perception.

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Section: Twin Studies Heritability and Hints To The Neuropsychology Of Musicmentioning

confidence: 95%

Human Genomics and the Biocultural Origin of Music

Beccacece

Abondio

Cilli

et al. 2021

IJMS

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“…They used three datasets: AR Face, YALE and SDUM-LA-HMT [6]. Further research on FR can be found in [7][8][9][10].…”

Section: Literature Reviewmentioning

confidence: 99%

Researching a machine learning algorithm for a face recognition system

Yevseiev

Goloskokova

Shmatko

2021

TT: PhE

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This article investigated the problem of using machine learning algorithms to recognize and identify a user in a video sequence. The scientific novelty lies in the proposed improved Viola-Jones method, which will allow more efficient and faster recognition of a person's face. The practical value of the results obtained in the work is determined by the possibility of using the proposed method to create systems for human face recognition. A review of existing methods of face recognition, their main characteristics, architecture and features was carried out. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. Possible modifications of the Viola-Jones method are presented. The main contribution presented in this article is an experimental study of the impact of various types of noise and the improvement of company security through the development of a computer system for recognizing and identifying users in a video sequence. During the study, the following tasks were solved: – a model of face recognition is proposed, that is, the system automatically detects a person's face in the image (scanned photos or video materials); – an algorithm for analyzing a face is proposed, that is, a representation of a person's face in the form of 68 modal points; – an algorithm for creating a digital fingerprint of a face, which converts the results of facial analysis into a digital code; – development of a match search module, that is, the module compares the faceprint with the database until a match is found

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“…They used three datasets: AR Face, YALE and SDUMLA-HMT [6]. Further research on FR can be found in [7][8][9][10].…”

Section: Literature Reviewmentioning

confidence: 99%

Research Information System of Image Recognition

et al. 2021

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Data classification in presence of noise can lead to much worse results than expected for pure patterns. In paper was investigated problem of the research is the process of user recognition and identification in the video sequence. The main contributions presented in this paper are experimental examination of influence of different types of noise and to the increase the security of an IT company by developing a computer system for recognizing and identifying users in the video sequence. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. However, the training of classifiers is very slow, but the face search results are very fast.

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Face recognition and memory in congenital amusia

Cited by 10 publications

References 72 publications

Human Genomics and the Biocultural Origin of Music

Human Genomics and the Biocultural Origin of Music

Researching a machine learning algorithm for a face recognition system

Research Information System of Image Recognition

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