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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i5.8506</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Intelligent Assisted Travel Wheelchair Based on Image Recognition Technology</title><url>https://artdesignp.com/journal/JERA/8/5/10.26689/jera.v8i5.8506</url><author>LiShuai</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>5</issue><history><date date-type="pub"><published-time>2024-10-14</published-time></date></history><abstract>This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments, aiming to improve the convenience and safety of disabled individuals. The system adopts advanced image recognition technology to monitor road conditions in real-time through the camera and to detect and measure distance to foreign objects on the road. The system visualizes the detection results on the wheelchair screen to assist the user in avoiding and improving the safety of their daily travel. In addition, the system also includes crawler tracks, seat heating, snow and rain protection, and other functions. The wheelchair has a wide range of application prospects and development potential. It is expected to be widely used in the future, providing a strong guarantee for the safe travel of disabled individuals in China.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Bai C, Wang J, Cheng X, et al., 2022, Fusing Laser SLAM for Driverless Wheelchair Spatial Positioning Optimization. Progress in Laser and Optoelectronics, 59(02): 485–493.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Zhang J, Zhang C, Zeng S, et al., 2024, Autonomous Following and Obstacle Avoidance System of the Electric Wheelchair in a Specific Scenario. Sensors and Microsystems, 43(05): 62–66.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Liu K, Li P, Lin Q, et al., 2024, Multifunctional Shared Wheelchair Based on Laser SLAM Autonomous Navigation Technology. Mechanical Engineer, 2024(04): 45–48.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Zhu H, Ge H, 2023, Analysis of the Dynamics of Wheel Climbing Wheelchair and Wheelchair Switching. Mechanical Transmission, 47(12): 158–168.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Song C, Chen X, 2023, Intelligent AI-Based Wheelchair Design. Microcomputer Applications, 39(11): 27–29 + 33.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Fu Z, Shang W, 2023, An Intelligent Wheelchair Design. Modern Instruments and Medical Care, 29(04): 41–45.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
