An Approach for Monitoring and Situation Inference for Motorized Wheelchairs

• Pedro A. Tavares UCPEL / Freedom Veículos Elétricos LTDA
• Rodrigo Real Freedom Veículos Elétricos LTDA
• Adenauer Yamin UFPEL
• Giancarlo Lucca UCPEL

DOI: https://doi.org/10.5753/sbcup.2024.2607

Abstract

Assistive Technologies aim to enhance the independence and social inclusion of individuals with motor disabilities. The Internet of Things (IoT) connects physical devices using several network standards, including wireless, enabling wheelchairs, essential artifacts of assistive technology, to also benefit from interconnected operation. This article presents an approach called SISCMot that explores IoT and Context Awareness concepts to benefit the entire chain of motorized wheelchairs actors. The evaluations of SISCMot conducted with Freedom motorized wheelchairs have shown promising results, indicating the continuation of the research.

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