Mobile–neural friendly architecture for limiting exposure to traumatic scenes

Abstract Mobile devices play a key role in developing mental health focused applications for individuals. The presented research proposes using mobile devices to limit the occurrence of depression in disabled individuals. It proposes a novel two stage solution that limits depression in disabled subscribers. The solution is integrated in a headband. Disabled subscribers have been considered because of their limited ability (or inability) to demonstrate motor skills enabling them to avoid trauma triggering scenarios. The research also examines how the proposed mechanism influences an individual’s identity. This is because existing solution utilize an invasive approach while the proposed solution is non-invasive. Analysis shows that the proposed mechanism preserves individual identity by 74.2%–99.3% on average.

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Publication Details

Journal
Soft Computing
Published
2024-11-28
DOI
https://doi.org/10.1007/s00500-024-10312-1
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Mobile–neural friendly architecture for limiting exposure to traumatic scenes

Kingsley A. Ogudo, A. A. Periola, Akintunde Alonge
Soft Computing
Human Pose and Action Recognition
article

Mobile–neural friendly architecture for limiting exposure to traumatic scenes

Kingsley A. Ogudo, A. A. Periola, Akintunde Alonge
article en

Abstract

Abstract Mobile devices play a key role in developing mental health focused applications for individuals. The presented research proposes using mobile devices to limit the occurrence of depression in disabled individuals. It proposes a novel two stage solution that limits depression in disabled subscribers. The solution is integrated in a headband. Disabled subscribers have been considered because of their limited ability (or inability) to demonstrate motor skills enabling them to avoid trauma triggering scenarios. The research also examines how the proposed mechanism influences an individual’s identity. This is because existing solution utilize an invasive approach while the proposed solution is non-invasive. Analysis shows that the proposed mechanism preserves individual identity by 74.2%–99.3% on average.

Soft ComputingVol. 28(23-24)
Cape Peninsula University of Technology (ZA), University of Johannesburg (ZA)
Cape Peninsula University of Technology
Quality Education
Openalex Percentile: Top 79%
Human Pose and Action Recognition
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