Direction Control of Wheelchair Based on Hand Gesture Recognition Utilizing AVR Microcontroller
Suraj Agashe
, Tushar Satpude , Janhavi Shetiye , Pratiksha Chinchalkar , Mr. S.S. Pawar
microcontroller, accelerometer sensor, wheel chair control, hand gesture recognition, RF module.
In the modern world, individuals with physical disabilities and the elderly often rely on others for assistance. However, as society becomes increasingly fast-paced, many people find it difficult to dedicate time to caregiving. Automated wheelchairs offer a solution for easy transportation for those with physical impairments. This study aims to design and develop a wheelchair controlled by hand gestures using a Gesture Control System. Wheelchairs are essential for individuals unable to walk due to physical limitations, injuries, or disabilities. Recent advancements show significant potential in creating hand gesture-based or smart wheelchairs. This paper introduces a gesture-based wheelchair using an accelerometer sensor, which allows the user to control the wheelchair's direction through hand movements. We present a model for a hand gesture-controlled user interface, highlighting current technology trends, applications, and usability. Our integrated approach for real-time detection employs a hand gesture-based data glove technique, utilizing an accelerometer sensor to control the wheelchair with hand movements. This study proposes a low-voltage, low-cost, and compact 3-axis wireless system to manage the wheelchair via an AVR microcontroller.
"Direction Control of Wheelchair Based on Hand Gesture Recognition Utilizing AVR Microcontroller", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1001 - 1007, May-2024, Available :https://ijsdr.org/papers/IJSDR2405134.pdf
Volume 9
Issue 5,
May-2024
Pages : 1001 - 1007
Paper Reg. ID: IJSDR_211480
Published Paper Id: IJSDR2405134
Downloads: 000347387
Research Area: Mechanical Engineering
Country: Nagpur, MAHARASHTRA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave