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)
VoiceGesture Fusion (VGF) is like teaching computers to understand both our voices and hand movements so we can control them better. In our day-to-day activities, wireless gadgets are increasingly prevalent, with the computer mouse being a significant advancement in human-computer interaction. Even now, Bluetooth and wireless mice remain popular tools. However, it's important to note that these wireless devices still require hardware, such as batteries for power and a dongle for connecting to the computer. This study looks at how VGF works, the problems it faces, and what might be improved in the future. By combining how we talk and move, VGF helps us interact with devices like phones or computers in easier ways. It's useful for things like games, virtual reality, healthcare, and smart homes. The system will utilize Python and OpenCV, along with other technologies. Users will view the camera feed on the system's screen for adjustments. Development of this system will involve the Python packages NumPy and mouse. Additionally, we'll employ tools such as Python, MediaPipe (a Google project), and OpenCV. MediaPipe is well-known for its efficiency and ability to offer swift solutions for AI projects. In order to facilitate more natural human-computer contact, we propose in this work to integrate a voice assistant, chatbot, and hand gesture recognition system to control the virtual mouse.
Keywords:
Python, OpenCV, Hand Tracing, Human-Computer Interaction, Deep Learning, MediaPipe, NLP
Cite Article:
"Virtual Gesture Fusion (VGF): A Comprehensive review of Human – Computer Interaction through Voice Assistants and Gesture Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d592-d601, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404365.pdf
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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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