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rmehmood786/README.md

👋 Hi, I'm Rashid Mehmood

Computer Vision Researcher | Gait Analysis & Biomechanics
Transforming human motion videos into quantifiable gait metrics, event detections (heel-strike, toe-off, foot-flat), and 8-phase segmentations with full quality control and annotated outputs.

🎓 Research Collaborator – Liverpool John Moores University (LJMU)
Investigating AI-driven human motion analysis for healthcare, safety, and ageing research, blending expertise in computer vision, signal processing, and generative AI.

📧 [email protected]  🔗 LinkedIn

🚀 Featured Projects

Project Description Tech Stack Status
Gait Event & Subphase Pipeline Detects gait events (HS/TO/FF) and segments into 8 sub-phases; exports annotated videos, Excel reports, and QC visualizations. Python · OpenCV · SciPy 🧪 Internal testing → Public release planned
Pose Cleaning Toolkit End-to-end preprocessing of pose keypoints — gap filling, outlier removal (Hampel), smoothing (Savitzky–Golay), and anatomical normalization. NumPy · SciPy · Pandas ⚙️ Packaging → Docs & examples in progress
Gait QC Dashboard Streamlit dashboard for frame-level gait inspection, event validation, and multi-subject visualization. Streamlit · Plotly · OpenCV 🧩 Prototype → UI/UX refinement

💡 Interested in private demos, data collaboration, or reproducible workflow templates?
Reach out for early access and research partnerships.

🧠 Core Expertise

Gait & Motion Analysis

  • Complete pipelines: video → OpenPose → event detection → segmentation → report generation
  • Data cleaning, interpolation, and biomechanical signal normalization
  • Automated QC & reproducibility using modular analysis scripts

Applied Research

  • LJMU Collaboration: precision gait phase segmentation & transition detection using temporal computer vision
  • Signal-based AI: Echo-State Networks, time-series modeling, and hybrid biomechanical features
  • Responsible AI: reproducibility, bias assessment, and ethical deployment in healthcare

🧰 Technical Stack

Programming & Data Science
Python NumPy Pandas SciPy

Computer Vision & ML
OpenCV scikit-learn PyTorch

Visualization & Deployment
Streamlit Plotly Matplotlib

🎓 Certifications & Learning

Certificate Platform Date
Introduction to Generative AI Google Cloud Nov 2024
Vector Search & Embeddings Google Cloud Nov 2024
MLOps for Generative AI Google Cloud Sep 2024

📚 Research Interests

  • Human Motion Analysis – Gait biomechanics · Spatiotemporal modeling · Phase identification
  • AI for Healthcare – Clinical motion datasets · Rehabilitation · Injury prevention
  • Generative & Responsible AI – Bias mitigation · Reproducibility · Biomedical validation

📝 Publications & Preprints

  • Mehmood, R., Topham, L., & Khan, W. (in preparation).
    Gait Phase Identification and Feature Extraction using Multimodal Computer Vision Approaches.

🔗 Quick Links

🚀 Projects · 🧠 Expertise · 🧰 Tech Stack · 📚 Research

💬 Open to collaborations in computer vision for gait, human motion, and digital health.
Let’s build reproducible, data-driven motion analysis systems that actually help people walk better.

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  1. AI-Gait-Visualizer AI-Gait-Visualizer Public

    Upload a short walking video → visualize pose keypoints and get quick gait metrics (stride proxy, step time, cadence estimate). Built on YOLO-Pose. One-click Colab + browser demo.

    Python

  2. reservoir-computing-esn-experiments reservoir-computing-esn-experiments Public

    Implementation of Echo State Networks (ESN) with experiments on MNIST and ECG5000. Includes comparison with Linear Regression and analysis of weight initialization methods for time-series and class…

    Jupyter Notebook 3

  3. genai-knowledge-assistant genai-knowledge-assistant Public

    🧠 Offline RAG App using LangChain, FAISS, and HuggingFace. A lightweight AI assistant that lets you chat with your own documents without any API costs.

    Python 1

  4. lfsr-digital-sequence-generator lfsr-digital-sequence-generator Public

    Fibonacci LFSR in Python with 4-bit demo, reconfigurable class, period check, and % agreement helper.

    Python

  5. rmehmood786.github.io rmehmood786.github.io Public

    Personal site for Rashid Mehmood (rmehmood786): AI, gait analysis, ESNs, projects & links.

    HTML

  6. covid19-time-series-forecasting covid19-time-series-forecasting Public

    Clean, time-aware COVID-19 case & death prediction experiments with scikit-learn: feature engineering, evaluation, and a simple 30-day forecast demo.

    Jupyter Notebook