Gait Analysis Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Gait Analysis ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Gait Analysis Projects for MTech, MS & PhD Students

Latest Gait Analysis Projects

  1. CLADSI: Deep Continual Learning for Alzheimer’s Disease Stage Identification Using Accelerometer Data
    This project uses motion sensors to monitor the movements of Alzheimer's patients. A smart computer model, called a CNN, studies this data to detect the stage of the disease. The model can keep learning as new data comes in, without needing all past data. This helps doctors track patients continuously and supports better care.
  2. CLADSI Deep Continual Learning for Alzheimers Disease Stage Identification Using Accelerometer Data
    This project uses smart motion sensors to track the movements of people with Alzheimer's disease. A computer program called a CNN learns from this movement data to detect the stage of the disease. The program keeps improving itself as it receives new data, without needing humans to update it. This approach can help doctors monitor patients more effectively and provide better care.
  3. Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task A Feasibility Study
    This study looked at how the brain controls walking while doing thinking tasks. Healthy adults walked and performed tasks that tested memory and self-control. The researchers measured brain activity with EEG and tracked walking patterns in 3D. They found that self-control affects walking more than memory, which could help improve rehabilitation for older adults and people with brain disorders.
  4. Gaitmap An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
    This project creates a free and open software system called gaitmap to study how people walk using small motion sensors on their feet. It gives researchers ready-to-use tools, datasets, and examples to test and compare their methods. This helps speed up medical research on movement problems and makes gait analysis easier for everyone to use.
  5. Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait
    PathoOpenGait is a cloud platform that studies how people walk. It helps track walking patterns, especially for patients with Parkinson’s disease and similar disorders. The system uses 3D cameras and smart algorithms to measure walking details accurately. It is easy to use, affordable, and can be used by doctors and patients for ongoing care.
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How We Help You with Gait Analysis Projects

At UniPhD, we provide complete guidance and support for Gait Analysis ieee projects for MTech, ME, Master’s, and PhD students. Our team assists you at every stage from topic selection to coding, report writing, and result analysis.

We also help you choose a suitable IEEE base paper and guide you in developing your project using Python-based tools and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, Flask, and Streamlit. In addition, we support implementation and simulation through platforms like MATLAB, Simulink, and NS2, depending on project requirements.

Our experts guide students all over India, including in Mumbai, Delhi, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune, Jaipur, and Surat. We also assist students in the USA, UK, Canada, Australia, Singapore, Malaysia, and Thailand. They have extensive experience in computer science, electronics, electrical and all engineering domains.

Gait Analysis Thesis and Dissertation Writing

UniPhD has a team of experienced academic writers who specialize in Gait Analysis research and thesis development. We offer fast-track dissertation writing services to help you complete your Gait Analysis thesis or dissertation smoothly and on time.

Our M.E., M.Tech, Masters, MS abroad, and PhD theses are developed according to individual university guidelines and checked with plagiarism detection tools to ensure originality and quality.

Gait Analysis Research Paper Publishing Support

UniPhD provides complete support for research paper writing, editing, and proofreading to help you publish your work in reputed journals or conferences. We accept documents in Microsoft Word, RTF, or LaTeX formats and ensure your paper meets publication standards.

Project Synopsis and Presentation Support

We help you prepare your project synopsis, including the problem definition, objectives, and motivation for your dissertation. Our team also provides complete PPT, documentation, and tutorials to make your final presentation successful. You can also download complete project resources, including source code, a project report, a PPT, a tutorial, documentation, and a research paper for your Gait Analysis final year project.

Gait Analysis Research Support for PhD Scholars

UniPhD offers advanced Gait Analysis research projects designed specifically for PhD scholars. We provide end-to-end support for your research design, implementation, experimentation, and publication process.

Each project package includes comprehensive documentation, including the research proposal, complete source code, research guidance, documentation, research paper, and thesis writing support, helping you successfully complete your doctoral research and academic publications.

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