Decline in Emotional Face Recognition Among Elderly People May Reflect Mild Cognitive Impairment

Ochi, Ryuta; Midorikawa, Akira

doi:10.3389/fpsyg.2021.664367

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…Double Decision Subspace With the progress of artificial intelligence technology, many traditional fast face recognition algorithms have been developed and improved [12]. The rapid development of software application based on face recognition technology has brought great convenience to human life and work.…”

Section: Fast Face Recognition Methods Based Onmentioning

confidence: 99%

Research on Fast Face Recognition Method Based on Double Decision Subspace

Wang

Zhang

Huang

2022

Wireless Communications and Mobile Computing

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Because a large number of labeled face data samples in special scenes need a large number of training samples with identity markers, and it is impossible to accurately extract the characteristics of small samples, a fast face recognition method based on double decision subspace is proposed. A feature recognition structure based on double decision subspace is constructed to preprocess the face image and separate the local features of several corresponding face images. The local binary pattern is used to extract the local texture features of the face, and the deep convolution network face fast recognition model is constructed. The convolution network is used to share the weight, pool, and downsampling to reduce the complexity of the model. The constructed recognition model is used to recognize the features of the face image, and the fast face recognition is effectively completed. The experimental results show that the designed method has high recognition accuracy, less average recognition time, and good recognition performance.

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Section: Fast Face Recognition Methods Based Onmentioning

confidence: 99%

Research on Fast Face Recognition Method Based on Double Decision Subspace

Wang

Zhang

Huang

2022

Wireless Communications and Mobile Computing

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“…Moreover, reduced ER accuracy in older adults may reflect impending depressive- and anxiety-related symptoms ( Orgeta, 2011 ), which are increasingly common in an older population ( Cheng et al. , 2021 ), and in certain cases they may even precede the onset of neurodegenerative disorders ( Ochi and Midorikawa, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Neural correlates of successful emotion recognition in healthy elderly: a multimodal imaging study

Orlando,

Ricci,

Griffanti

et al. 2023

Social Cognitive and Affective Neuroscience

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The ageing process is associated with reduced emotional recognition (ER) performance. The ER ability is an essential part of non-verbal communication, and its role is crucial for proper social functioning. Here, using the ‘Cambridge Centre for Ageing and Neuroscience cohort sample’, we investigated when ER, measured using a facial emotion recognition test, begins to consistently decrease along the lifespan. Moreover, using structural and functional MRI data, we identified the neural correlates associated with ER maintenance in the age groups showing early signs of ER decline (N = 283; age range: 58–89 years). The ER performance was positively correlated with greater volume in the superior parietal lobule, higher white matter integrity in the corpus callosum and greater functional connectivity in the mid-cingulate area. Our results suggest that higher ER accuracy in older people is associated with preserved gray and white matter volumes in cognitive or interconnecting areas, subserving brain regions directly involved in emotional processing.

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