Design and development of smart AI-based voice assistive ergonomic commode wheelchair for mobility and rehabilitation

Abstract This study focuses on enhancing assistive devices for the elderly and disabled, primarily addressing the challenges associated with traditional wheelchairs. While wheelchairs are widely used for basic mobility, the research identifies several issues in existing products, such as a lack of attention to ergonomic features, anthropometric principles, and limited technological interventions. One major concern is the discomfort experienced by users over extended periods, especially when essential design elements like height and back adjustments are neglected. Another challenge highlighted is the issue of defecation, particularly in the absence of a caregiver. This dependency on caretakers can be mentally burdensome for users, raising privacy concerns during such personal activities. To address these issues, this research proposes a solution that integrates ergonomic features and incorporates low-cost technological interventions, including artificial intelligence-based voice assistance. The ultimate goal of this paper is to design and introduce an AI-based voice-assisted ergonomic wheelchair that not only supports basic mobility but also ensures comfort over extended periods. The proposed solution aims to incorporate a commode feature for defecation within a smart ergonomic wheelchair equipped with voice assistance and provide comfort to the user(s). The design prioritizes anthropometric dimensions, ensuring comfort and convenience for users across various age groups. Employing SolidWorks software, a stable and robust model has been designed, and its durability was assessed through stress analysis using the SolidWorks simulation tool by applying a 981 Newton load on the wheelchair's frame using two different materials (steel and aluminum). The maximum stress value is less than the yield strength, and the deformation is 2.57 e+00 mm for the steel frame, indicating that the design is stable and durable compared to the aluminum structure. The proposed voice-assistive, ergonomic, AI-based wheelchair with a commode cavity is a revolutionary development for the healthcare sector in terms of innovation.

Authors

Institutions

Publication Details

Journal
Journal of Instrumentation
Published
2024-11-01
DOI
https://doi.org/10.1088/1748-0221/19/11/p11007
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and development of smart AI-based voice assistive ergonomic commode wheelchair for mobility and rehabilitation

Tanweer Ali, Manish Sharma, Sameena Pathan, Naveen Kumar et al.
1 citations
Journal of Instrumentation
Gaze Tracking and Assistive Technology
0.37
article

Design and development of smart AI-based voice assistive ergonomic commode wheelchair for mobility and rehabilitation

Tanweer Ali, Manish Sharma, Sameena Pathan, Naveen Kumar, Vinay Kukreja, Sanjeev Verma, Rajesh Kumar Kaushal
article en
1 citations

Abstract

Abstract This study focuses on enhancing assistive devices for the elderly and disabled, primarily addressing the challenges associated with traditional wheelchairs. While wheelchairs are widely used for basic mobility, the research identifies several issues in existing products, such as a lack of attention to ergonomic features, anthropometric principles, and limited technological interventions. One major concern is the discomfort experienced by users over extended periods, especially when essential design elements like height and back adjustments are neglected. Another challenge highlighted is the issue of defecation, particularly in the absence of a caregiver. This dependency on caretakers can be mentally burdensome for users, raising privacy concerns during such personal activities. To address these issues, this research proposes a solution that integrates ergonomic features and incorporates low-cost technological interventions, including artificial intelligence-based voice assistance. The ultimate goal of this paper is to design and introduce an AI-based voice-assisted ergonomic wheelchair that not only supports basic mobility but also ensures comfort over extended periods. The proposed solution aims to incorporate a commode feature for defecation within a smart ergonomic wheelchair equipped with voice assistance and provide comfort to the user(s). The design prioritizes anthropometric dimensions, ensuring comfort and convenience for users across various age groups. Employing SolidWorks software, a stable and robust model has been designed, and its durability was assessed through stress analysis using the SolidWorks simulation tool by applying a 981 Newton load on the wheelchair's frame using two different materials (steel and aluminum). The maximum stress value is less than the yield strength, and the deformation is 2.57 e+00 mm for the steel frame, indicating that the design is stable and durable compared to the aluminum structure. The proposed voice-assistive, ergonomic, AI-based wheelchair with a commode cavity is a revolutionary development for the healthcare sector in terms of innovation.

Journal of InstrumentationVol. 19(11)
Manipal Academy of Higher Education (IN), Chitkara University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Gaze Tracking and Assistive Technology
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.