Health and Wellness
FallSafe+ - AI-Driven Falls Prevention and Recovery System
An innovative AI-driven fall prevention and recovery system that integrates computer vision, IoT sensors, and deep learning to address the critical gap in personalised fall risk assessment and rehabilitation.
Technology Overview
FallSafe+ is an innovative AI-driven fall prevention and recovery system that integrates computer vision, IoT sensors, and deep learning to address the critical gap in personalised fall risk assessment and rehabilitation. Traditional fall prevention programmes lack individualised assessment and real-time feedback, making them ineffective for many at-risk individuals. FallSafe+ provides a comprehensive solution combining controlled and safe simulated fall scenarios, recovery strategies, and post-fall rehabilitation through AI-powered diagnostics and adaptive interventions.
Technology Features
Advanced Diagnostic System: Integrates computer vision-based gait analysis with IoT-enhanced movement tracking and harness-based safety systems
AI-Powered Personalisation: Utilises AI and deep learning models to process multi-source data and create individualised fall risk profiles with customised intervention plans
Harness-Based Fall Training: Features overhead suspension frame with safety harness system enabling controlled fall exposure training to enhance automatic recovery reflexes and protective responses
Digital Coaching Platform: Delivers AI-guided exercise plans with augmented reality-enhanced movement training, gamified progress tracking, and virtual coaching sessions for improved engagement
Potential Applications
Healthcare and Rehabilitation Centres
Active Ageing and Senior Care
Home-Based Rehabilitation
Corporate Wellness
Benefits
Comprehensive Integration combining AI-driven assessment, IoT monitoring, computer vision analysis, and safety harness training in a single scalable platform
Real-Time AI Analytics that generate personalised, data-driven intervention programmes with strong predictive accuracy demonstrated in pilot studies
Provides controlled environment for participants to experience and train fall reflexes using overhead harness system with AI-assisted intervention techniques
Gamified, immersive experience with digital coaching, AR-enhanced training, and quest-based exercise progression achieving higher adherence rates than traditional programmes
Scalable Architecture, supporting deployment across multiple settings from clinical environments to home-based care with customisable models for diverse mobility conditions
Commercialisation
This technology is available for licensing and technology transfer.
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