Brain–Computer Interface‐Assisted Automated Wheelchair Control Management–Cerebro

Kambhamettu, Sudhendra; Cruz, Meenalosini Vimal; Anitha, S.; Chakkaravarthy, S. Sibi; Kumar, Kunal

doi:10.1002/9781119857655.ch9

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…• Improved data collection and analysis: The integration of AI into wheelchair technology can facilitate the collection and analysis of large amounts of data from realworld settings. This data can be used to identify usage patterns, detect potential safety issues, and evaluate the overall performance of different wheelchair models (Kambhamettu et al, 2023). By analyzing this data, researchers and manufacturers can develop more effective strategies to improve the design and functionality of wheelchairs.…”

Section: Significance Of This Studymentioning

confidence: 99%

AI advances in wheelchair navigation and control: A comprehensive review

Sahoo,

Choudhury

2023

J Process Man & New Technol

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This paper presents a systematic review of the literature on integrating artificial intelligence (AI) to improve wheelchair navigation and control for people with mobility impairments. The review covers a range of AI-based approaches including computer vision, machine learning, and path planning algorithms. The paper highlights the potential benefits of integrating AI into wheelchair technology, including increased safety, autonomy, and personalized control. The review discusses the limitations and challenges of current wheelchair navigation and control systems, and how AI can address these limitations. The paper identifies common themes and trends in the literature and summarizes the strengths and weaknesses of existing AI-based wheelchair navigation and control systems. Finally, the paper concludes by discussing the potential future directions for research and development of AI-based wheelchair navigation and control systems. This review paper provides a valuable resource for researchers and engineers interested in developing and improving AI-based wheelchair technology.

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Section: Significance Of This Studymentioning

confidence: 99%