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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
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Total Authors : 21252
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| Paper Title: | Swheels: The Smart Wheelchair |
| Authors Name: | Joshua Johnson , Nandkishore Binraj , Nikhil Manoj , Sourav S Pai , Neetha K Nataraj |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202094
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| Published Paper Id: | IJRTI2504051 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | http://doi.one/10.1729/Journal.44612 |
| Abstract: | SWHEELS is a smart, voice-controlled wheelchair prototype designed to enhance mobility and independence for individuals with partial or complete paralysis. This project aims to bridge accessibility gaps by integrating advanced features such as voice command operation, joystick control, automatic speed adjustment on inclines, obstacle detection, fall detection, and a real-time dash cam. The system is powered by a Raspberry Pi 5 and dual ESP32 microcontrollers, enabling distributed processing for efficient control and safety management. Voice navigation interprets natural language instructions like “move forward for 10 meters” through a language model API and translates them into structured commands for motor control. The obstacle avoidance mechanism, implemented using six ultrasonic sensors (HC-SR04), ensures safe navigation in indoor environments such as hospitals and schools. Real-time video streaming is achieved via MJPG-Streamer, allowing live monitoring over a local network. SWheels follows a phased development approach, beginning with basic assistive mobility features, followed by autonomous navigation and path learning capabilities. The successful implementation of the prototype demonstrates the viability of combining low-cost hardware with smart control logic to deliver a scalable, user-friendly mobility solution. The system's modular design supports further enhancements such as gesture recognition and health monitoring, making it a promising candidate for future development in assistive technology. |
| Keywords: | Smart wheelchair, voice navigation, obstacle avoidance |
| Cite Article: | "Swheels: The Smart Wheelchair", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a350-a359, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504051.pdf |
| Downloads: | 000371 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504051
Registration ID:202094
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44612
Page No: a350-a359 Country: Ernakulam, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504051 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504051 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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