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article · Soft Computing

Mobile–neural friendly architecture for limiting exposure to traumatic scenes

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.

Research topics

  • Human Pose and Action Recognition
  • Context-Aware Activity Recognition Systems
  • Human-Automation Interaction and Safety

Sustainable Development Goals

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DOI: 10.1007/s00500-024-10312-1

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