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Real-Time Scene Monitoring for Deaf-Blind People

Khaled Kassem, Piergiorgio Caramazza, Kevin J. Mitchell, Mitchell D. Miller, Azadeh Emadi, Daniele Faccio

2022Sensors17 citationsDOIOpen Access PDF

Abstract

It is estimated that at least 15 million people worldwide live with severe deaf-blindness, with many more experiencing varying degrees of deaf-blindness. The existing options of assistance are mostly limited to walking canes, guide dogs and human care. We propose a wearable device which harnesses a multi-antenna mmWave radar transceiver and a haptic feedback array for real time detection of a person moving within a scene. We present our findings from a series of workshops with participants classed with multi-sensory impairments (MSI), to demonstrate the relative success of this approach and its potential for integration into existing assistance for the MSI of the future.

Topics & Concepts

Wearable computerBlindnessAssisted livingRadarComputer scienceHuman–computer interactionTransceiverHaptic technologyReal-time computingComputer visionArtificial intelligenceEmbedded systemTelecommunicationsMedicineOptometryWirelessNursingTactile and Sensory InteractionsHearing Impairment and CommunicationHand Gesture Recognition Systems
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