Face Recognition and Rehabilitation: A Wearable Assistive and Training System for Prosopagnosia

Mann, Steve; Pan, Zhiyang; Gao, Anqi; Tao, Xingchen; Garcia, Danson Evan; Shi, Dawei; Kannan, Georges

doi:10.1109/smc42975.2020.9283058

“…In response to this limitation, one researcher developed a new integrated wearable system to aid patients with prosopagnosia [ 63 ]. The system consists of an Android application that has both real-time face recognition and at-home training modes, and a wearable eyepiece that collects and transmits face information in real time through an external webcam.…”

Section: Intervention Strategies For Children With Prosopagnosiamentioning

confidence: 99%

Face Blindness in Children and Current Interventions

Ma

¹

,

Xiao

²

,

Wu

³

et al. 2023

Behavioral Sciences

2

0

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Children with prosopagnosia, also known as face blindness, struggle to recognize the faces of acquaintances, which can have a negative impact on their social interactions and overall functioning. This paper reviews existing research on interventions for children with prosopagnosia, including compensatory and remedial strategies, and provides a summary and comparison of their effectiveness. However, despite the availability of these interventions, their effectiveness remains limited and constrained by various factors. The lack of a widely accepted treatment for children with prosopagnosia emphasizes the need for further research to improve intervention strategies. Last, three future research directions were proposed to improve interventions for prosopagnosia, including ecological approaches, the social challenges faced by children, and new potential intervention methods.

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“…Most people who have face blindness focus on the mouth and external facial features to identify faces. As Mann et al [30] put it, "training can be used to improve facial recognition performance". So, the majority of rehabilitation and training programmes for CP patients focused on changing eye movement and encouragement to concentrate more on the internal facial features, especially the eyes and the nose, as well as the area between them, which showed improvement in the patients' performances.…”

Section: Conclusion On the Influence Of Prosopagnosia On Deepfake Det...mentioning

confidence: 99%

Advanced Computer Science and Information Technology Trends

2023

0

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The detection of deep fakes simulating human faces for potentially malicious motives is a constantly developing and interesting subject. According to prosopagnosia research, certain facial features and how they move can help people with the disorder recognise others. This paper outlines studies in the area of detecting and addressing the effects of prosopagnosia. For the first time, we suggest that the findings of these studies could be applied to the detection of deep fake faces, drawing a link between the facial features and movements most useful in combating the effects of prosopagnosia, with the features most productive for analysis in deep fake facial detection.

show abstract

“…Most people who have face blindness focus on the mouth and external facial features to identify faces. As Mann et al [30] put it, "training can be used to improve facial recognition performance". So, the majority of rehabilitation and training programmes for CP patients focused on changing eye movement and encouragement to concentrate more on the internal facial features, especially the eyes and the nose, as well as the area between them, which showed improvement in the patients' performances.…”

Section: Conclusion On the Influence Of Prosopagnosia On Deepfake Det...mentioning

confidence: 99%

Strategies for Addressing Prosopagnosia as a Potential Solution to Facial Deepfake Detection

Alanazi¹,

Davison²,

Ushaw³

et al. 2023

Advanced Computer Science and Information Technology Trends

0

View full text Add to dashboard Cite

The detection of deep fakes simulating human faces for potentially malicious motives is a constantly developing and interesting subject. According to prosopagnosia research, certain facial features and how they move can help people with the disorder recognise others. This paper outlines studies in the area of detecting and addressing the effects of prosopagnosia. For the first time, we suggest that the findings of these studies could be applied to the detection of deep fake faces, drawing a link between the facial features and movements most useful in combating the effects of prosopagnosia, with the features most productive for analysis in deep fake facial detection.

show abstract

Face Recognition and Rehabilitation: A Wearable Assistive and Training System for Prosopagnosia

Cited by 6 publications

References 25 publications

Face Blindness in Children and Current Interventions

Face Blindness in Children and Current Interventions

Advanced Computer Science and Information Technology Trends

Strategies for Addressing Prosopagnosia as a Potential Solution to Facial Deepfake Detection

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