Hand Gesture Recognition Final Year Projects with Source Code

Byadmin Final Year Projects

Hand Gesture Recognition Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Hand Gesture Recognition projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Hand Gesture Recognition Final Year Projects

  1. A Lightweight Network Deployed on ARM Devices for Hand Gesture Recognition
    This project develops a lightweight system to recognize hand gestures. The system, called LHGR-Net, works on small devices like a Raspberry Pi. It can detect gestures in real time and use them to control home appliances. The method uses less memory but still performs almost as well as advanced models.
  2. The Key Criteria for Predicting Unusual Behavior in the Elderly With Deep Learning Models Under 5G Technology
    This study explores using advanced AI methods to detect unusual behavior in elderly people at home. It uses 5G networks to collect and analyze data quickly and efficiently. The researchers first identified the most important factors affecting elderly behavior using a decision-making method called DEMATEL. Then, they applied deep learning models, CNN and LSTM, to detect abnormal behavior. The results showed that LSTM worked best, achieving 96% accuracy, and highlighted depression as a key factor influencing unusual behavior.
  3. Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network
    This project develops a system that can accurately track and recognize hand gestures from videos in real-world environments. It processes video frames, cleans the images, and uses neural networks to identify hand movements. The system then extracts detailed features, optimizes them to reduce errors, and classifies gestures using a deep learning model. Tests on standard datasets show it achieves high accuracy and works well compared to existing methods.
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At Final Year Projects, we provide complete guidance for Hand Gesture Recognition IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

Our team has over 10 years of experience guiding students in Computer Science, Electronics, Electrical, and other engineering domains. We support students across India, including Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. International students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.

Hand Gesture Recognition Project Synopsis & Presentation

Final Year Projects helps prepare Hand Gesture Recognition project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Hand Gesture Recognition Project Thesis Writing

Final Year Projects provides thesis writing services for Hand Gesture Recognition projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

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Hand Gesture Recognition Research Paper Support

We offer complete support for Hand Gesture Recognition research papers. Services include writing, editing, and proofreading for journals and conferences.

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Reach out to Final Year Projects for expert guidance on Hand Gesture Recognition projects. Get support for coding, reports, theses, and research publications. Contact us via email, phone, or website form and start your project with confidence.

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