An IOT Driven Eyeball And Gesture-Controlled Smart Wheelchair System for Disabled Person

Udaya, Rani.V; Poojasree, S

doi:10.1109/icaccs54159.2022.9785180

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…The very first motorized wheelchair was created by George Klein fifteen years ago [2,3]; and since then, there have been several initiatives in this area, leading to entirely robotic wheelchairs and intelligent wheelchairs [4]. Various advancements, especially artificial intelligence (AI) [5], Internet of Things (IoT) [6,7], and edge and cloud computing technology [8] have indeed been successfully applied to smart wheelchairs, to assist users in getting around and moving safely without assistance. This research presents another effort to provide safety to mobility impaired humans during the Hajj and Umrah services [9].…”

Section: Introductionmentioning

confidence: 99%

SLMAS: A Secure and Light Weight Mutual Authentication Scheme for the Smart Wheelchair

et al. 2023

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The modern innovation called the Internet of Things (IoT) empowers individuals to connect to anybody and anything at any point, wherever. The application of the IoT in smart cities concerning smart healthcare management can improve patient welfare, user acceptance, the standard of living, and accurate illness monitoring. Powered wheelchairs (PW) with sensors, computers, and other connected assistive technologies are called smart wheelchairs. Smart wheelchairs with sensing abilities are intended to offer universal connectivity using cloud and edge computing technology. Numerous outstanding people were impacted by paralyzing phenomena, including Stephen Hawking and Max Brito. The issue of legitimacy is one of the most important difficulties in e-health applications, because of how sensitive the technology is, and this needs to be appropriately handled. To safeguard the data transport, usage, and interchange between sensor nodes/smart wheelchairs and servers, e-health applications require an authentication method. As all conversations use wireless channels, e-health apps are exposed to various vulnerabilities. Additionally, the IoT has limited computational and power capacity limitations. To combat the various security risks, the present research offers a user authentication technique that is efficient and ensures anonymity. The suggested method creates a safe connection for the authorized entity and forbids unauthorized entities from accessing the Internet of Things sensor nodes. The suggested approach has lower communication and computation overheads than the traditional techniques, making it more effective. In addition, the security verification of the presented protocol is scrutinized through AVISPA. The proposed scheme, on average, requires only 12.4% more computation cost to execute. Compared to the existing approaches, the suggested protocol’s extra computational cost can be compensated for by its enhanced security, while the suggested method’s communication cost is 46.3% smaller.

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