Overview

RiskWatch is an innovative wearable fall-detection system that combines cutting-edge hardware with intelligent software to provide comprehensive healthcare monitoring and emergency response capabilities. This project won 2nd place in the Grainger Innovation Prize, recognizing its potential impact on elderly care and health monitoring.

GitHub Repository: RiskWatch Android App

Grainger Innovation Prize Award Grainger Innovation Prize top 5 finishers

My Role

I led the development of the companion Android application, which serves as the central hub for the RiskWatch ecosystem. My responsibilities included:

  • Android App Development: Built and updated the mobile application using Java
  • Real-time Vital Monitoring: Implemented health data visualization and tracking
  • Bluetooth Low Energy (BLE) Communication: Developed robust wireless communication between the wearable device and smartphone
  • Amazon Alexa Integration: Created a custom Alexa skill for voice-activated alerts and multi-modal emergency notifications
  • User Interface Design: Designed interfaces for both users and caregivers

Technical Implementation

RiskWatch System Diagram RiskWatch system architecture and components

Android Application Features

  • Real-time Data Visualization: Event charts and graphs showing vital signs and heatmap patterns
  • Fall Detection Alerts: Immediate notification system
  • Alexa Notifications: Automated linked account Alexa push notifications
  • Health History: Comprehensive logging and trend analysis of user health data

Bluetooth Low Energy (BLE) Integration

  • Efficient power management for extended battery life
  • Reliable data transmission between wearable and mobile device
  • Reliable data transmission between wearable and beacon system
  • Real-time synchronization of sensor data
  • Automatic reconnection capabilities

Amazon Alexa Skill

  • Hands-free status updates
  • Integration with smart home ecosystems
  • Multi-modal alert system (sound and mobile notifications)

Research Publication

Our work on RiskWatch resulted in a published research paper presented at the IEEE International Conference on Electro Information Technology:

S. Karson, D. Gilys, D. Skvyrski, N. Cook, M. Gromov and J. Saniie, "RiskWatch: Wearable Fall Detection and Healthcare Accountability Device," 2025 IEEE International Conference on Electro Information Technology (eIT), Valparaiso, IN, USA, 2025, pp. 1-6, doi: 10.1109/eIT64391.2025.11103628

Technologies Used

  • Mobile Development: Android SDK, Java
  • Communication: Bluetooth Low Energy (BLE)
  • Voice Technology: Amazon Alexa Skills Kit
  • Data Processing: Real-time sensor data analysis
  • Machine Learning: Fall detection algorithms
  • IoT Integration: Wearable device communication protocols

Awards and Recognition

  • 2nd Place - Grainger Innovation Prize: Recognized for innovation in healthcare technology and potential for real-world impact (Certificate)

Grainger Innovation Prize Award RiskWatch team receiving the 2nd place Grainger Innovation Prize

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