Niva

Every step, understood.

Niva is an explainable gait-analytics platform for a smart insole. Plantar pressure, impact, and IMU telemetry are acquired on an ESP32, streamed to software, then scored with explicit biomechanics rules rather than a black-box model.

This repository is a monorepo for the three implemented Niva applications.

Architecture

Smart Insole (FSR + piezo + MPU6050)
    ↓
ESP32 firmware  (niva arduino)
    ↓
BLE is not implemented. Live transport is USB Serial and Wi-Fi WebSocket.
    ↓
Web dashboard / optional WS relay  (niva web)
    ↓
Clinician / analytics UI

Flutter app  (niva flutter)
    ↓
Patient/user-facing mobile experience (same JSON telemetry protocol)

What is actually in the code:

• Firmware reads four FSR channels, a piezoelectric channel, and an MPU6050 IMU (in the active sketch).
• Telemetry is JSON over WebSocket (:81) and CSV over USB Serial at 115200 baud.
• The web app is a React + Vite clinician/research dashboard with IndexedDB storage.
• The Flutter app is a native rebuild of that dashboard for mobile, using Hive instead of IndexedDB.
• EMA filtering and gait-phase logic live in the software biomechanics engines, not as a separate firmware filter stage.
• The implemented IMU is MPU6050. This repo does not contain BMI270 firmware.

Repository structure

Niva/
├── niva flutter/     Mobile application (Flutter)
├── niva arduino/     ESP32 / Arduino firmware
├── niva web/         Clinician dashboard, Vite app, and WS relay
├── docs/brand/       Logo source assets
├── README.md
└── .github/          GitHub Pages deploy workflow

Directory	Responsibility
niva flutter/	Patient/user-facing Flutter app: dashboard, device pairing over WebSocket, insights, trends, CSV export
niva arduino/	ESP32 firmware: ADC acquisition, calibration, IMU, telemetry, Wi-Fi / WebSocket
niva web/	Clinician dashboard, biomechanics visualization, dataset export/upload, optional WebSocket relay

Development prerequisites

Install only what you need for the component you are running:

• Web: Node.js 22+ and npm
• Flutter: Flutter SDK (Dart 3.3+)
• Firmware: Arduino IDE (or compatible ESP32 toolchain) with ESP32 board support

How to run each component

Web dashboard (niva web)

cd "niva web"
npm install
# if peer dependency conflicts appear:
npm install --legacy-peer-deps
npm run dev

Other supported scripts:

npm run build
npm run preview
npm run lint

Optional environment file: create niva web/.env.local

VITE_ESP32_WS_URL=ws://<esp32-ip>:81
VITE_ESP32_WS_RELAY_URL=wss://<your-relay-domain>/ws
VITE_ESP32_WS_RELAY_TARGET_KEY=target
VITE_DATASET_UPLOAD_URL=https://your-api.example.com/upload
VITE_DATASET_UPLOAD_TOKEN=your_optional_bearer_token

Optional local WebSocket relay (needed when a HTTPS dashboard must reach a ws:// ESP32):

cd "niva web/relay"
npm install
npm start

Flutter app (niva flutter)

cd "niva flutter"
flutter pub get
flutter analyze
flutter test
flutter run

ESP32 endpoint, relay URL, and upload URL are runtime settings on the Device tab (not build-time env files).

Firmware (niva arduino)

Open one of these sketches in Arduino IDE, install the libraries listed in niva arduino/README.md, select an ESP32 board, and upload:

• Active hardware sketch: niva arduino/niva_hardware/niva_hardware.ino
• Simpler hardcoded-WiFi sketch: niva arduino/esp32_gaitguard_wifi_manager/esp32_gaitguard_wifi_manager.ino

Serial Monitor baud rate: 115200.

Hardware / firmware overview

Implemented on ESP32:

• FSR heel / inner / outer / toe on ADC pins 32, 33, 34, 35
• Piezoelectric heel disc on pin 36
• MPU6050 on I2C (SDA 21, SCL 22) in the active niva_hardware sketch
• Optional SH1106 OLED on the same I2C bus (address 0x3C)
• Oversampled ADC reads and zero-load tare calibration (NVS-persisted in the active sketch)
• WebSocket telemetry on port 81, USB CSV telemetry on Serial

The simpler esp32_gaitguard_wifi_manager sketch uses hardcoded Wi-Fi credentials and does not drive the IMU or OLED.

Software overview

• Web: React 19, TypeScript, Vite, Tailwind, Recharts, IndexedDB
• Flutter: Flutter, Riverpod, Hive, web_socket_channel, fl_chart
• Relay: Node.js + ws
• Deploy: GitHub Pages via .github/workflows/deploy-pages.yml (builds niva web)

There is no application server or database in this repository. Dataset persistence is browser-local (IndexedDB) or on-device (Hive). CSV upload to an external research API is optional.

Documentation

Location	Contents
niva flutter/README.md	Flutter setup, architecture, and run commands
niva arduino/README.md	Firmware sketches, pin map, libraries
niva web/README.md	Dashboard setup, telemetry formats, Pages deploy
niva web/JUDGES_WALKTHROUGH.md	Algorithm and data walkthrough
niva flutter/DESIGN.md	Flutter visual/design notes
niva flutter/BACKEND_LOGIC.md	Data contract and storage
docs/brand/	Logo source assets

This prototype is an engineering / research screening tool. It is not a medical diagnosis device.