AI-DRIVEN MULTIFUNCTIONAL ASSISTIVE DEVICE FOR ENHANCING MOBILITY AND COMMUNICATION IN DISABLED INDIVIDUALS

The paper describes the design, development, and evaluation of a multi-functional, AI-enabled assistive device in the desire to improve accessibility and communication capabilities in individuals with visual, auditory, and speech disabilities. Three key features integrate this device, which are an ultrasonic sensor-based obstacle detection system for the visually impaired, a speech-to-text transcription system for the hearing impaired, and a communication module for speech-impaired users. There were three categories of users tested: blind, deaf, and mute. All real-life situations were taken into account, involving indoor and outdoor settings.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-20
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.42235
Primary Topic
Assistive Technology in Communication and Mobility
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-DRIVEN MULTIFUNCTIONAL ASSISTIVE DEVICE FOR ENHANCING MOBILITY AND COMMUNICATION IN DISABLED INDIVIDUALS

Manish Acharya, Mr. Indra Kishor -, Chiya Jamwal -, Ekta Rathore - et al.
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International Journal For Multidisciplinary Research
Assistive Technology in Communication and Mobility
article

AI-DRIVEN MULTIFUNCTIONAL ASSISTIVE DEVICE FOR ENHANCING MOBILITY AND COMMUNICATION IN DISABLED INDIVIDUALS

Manish Acharya, Mr. Indra Kishor -, Chiya Jamwal -, Ekta Rathore -, Bhanwar Singh Rathore -
article en

Abstract

The paper describes the design, development, and evaluation of a multi-functional, AI-enabled assistive device in the desire to improve accessibility and communication capabilities in individuals with visual, auditory, and speech disabilities. Three key features integrate this device, which are an ultrasonic sensor-based obstacle detection system for the visually impaired, a speech-to-text transcription system for the hearing impaired, and a communication module for speech-impaired users. There were three categories of users tested: blind, deaf, and mute. All real-life situations were taken into account, involving indoor and outdoor settings.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 89%
Assistive Technology in Communication and Mobility
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