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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Enhancing accessibility and inclusivity for people with disabilities |
| Authors Name: | Niveditha P , Pooja D , Dr.Susila sakthy |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217171
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| Published Paper Id: | IJNRD2404130 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | This study introduces a new method of home automation tailored to the needs of those who have trouble moving about. Using only your hands, you can turn on and off lights, fans, and other electrical devices. Providing individuals with mobility impairments with the means to autonomously manage their living area is the declared goal of the initiative, which aims to encourage greater independence and better their quality of life. The suggested system uses computer vision and machine learning techniques to decipher recorded hand motions seen through a camera interface. The system may be able to interpret specific hand movements as commands to operate different home appliances if it has learned to recognize them. We create and deploy a reliable system for the detection and categorization of gestures in real-time. Modern computer vision techniques, including Convolutional Neural Networks (CNNs) and algorithms for hand tracking, enable the system to accurately understand motion. Assigning certain commands to the recognized motions allows for the operation of smart home electrical products, such as lighting and ceiling fans. Plus, if the disabled person needs assistance, this device may notify the caregiver. We aim to enable people with impairments to live more independently and comfortably in their homes by giving this home automation system that is controlled by gestures. Accessibility and inclusion in smart home settings are significantly advanced by our effort, which leverages state-of-the-art technology and prioritizes user-centric design concepts. |
| Keywords: | Machine Learning, Home Appliances, Computer Vision, Gesture Recognition, Convolutional neural network, Alert messages. |
| Cite Article: | "Enhancing accessibility and inclusivity for people with disabilities ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b232-b237, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404130.pdf |
| Downloads: | 00038 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2404130 Registration ID: 217171 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: b232-b237 Country: Chennai, Tamilnadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404130 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404130 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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