Clinical Development in Progress

Restoring Mobility with Intelligent Wearable Technology

FoGO is a medical-grade wearable device that detects Freezing of Gait episodes in real-time and delivers immediate therapeutic cueing to help Parkinson's patients resume walking safely.

Discover Our Solution Schedule a Demo
~250ms
Response Latency
0.85
F1 Score
90.5%
Accuracy
FoGO wearable device
Edge AI
On-device processing
Vibrotactile
Therapeutic cueing
The Challenge

A Growing Global Health Crisis

Parkinson's disease is the second most common neurodegenerative disorder, affecting millions worldwide. Freezing of Gait is one of its most debilitating and dangerous symptoms.

12M+
People Affected Globally

Projected to double by 2040

6M+
Patients in India

Second largest population worldwide

60%
Experience Freezing Episodes

Leading cause of falls and injuries

What is Freezing of Gait?

Freezing of Gait (FoG) is an episodic phenomenon where patients suddenly feel their feet are "glued" to the ground during walking. This debilitating symptom severely impacts mobility, independence, and quality of life.

Unpredictable Occurrence

Episodes occur without warning and are difficult to detect in clinical settings

Medication Resistance

Becomes less responsive to drug therapies as the disease progresses

High Fall Risk

Primary cause of fall-related injuries in Parkinson's patients

Clinical Progression of FoG

Clinical progression
Normal Gait Slowing Further Slowing Freezing
Our Solution

Intelligent Closed-Loop Intervention

FoGO continuously monitors gait patterns, detects freezing episodes in real-time, and delivers immediate therapeutic cueing—all without cloud connectivity.

Processing pipeline

Continuous Sensing

Bilateral ankle IMUs capture accelerometer and gyroscope data during all walking activities

Edge AI Detection

Optimized machine learning model processes data on-device to identify FoG signatures in real-time

Therapeutic Cueing

Chest-mounted vibrotactile module delivers immediate sensory stimulation to help resume walking

Adaptive Control System

Our proprietary control logic ensures precise timing of therapeutic intervention while preventing over-stimulation.

1
Monitor walking patterns continuously
2
Detect FoG onset using threshold + debounce logic
3
Activate vibrotactile cueing immediately
4
Verify recovery and enter cooldown state
Control logic
Technology

Purpose-Built Hardware

Compact, lightweight modules designed for all-day comfort without compromising performance.

SENSING

Ankle IMU Modules

×2

High-precision inertial measurement units worn bilaterally to capture comprehensive gait dynamics.

4.0 × 6.3
Dimensions (cm)
37%
Size Reduction
ACTUATION

Chest Vibrotactile Module

×1

Therapeutic cueing actuator positioned at the body's most sensitive location for optimal response.

2 × 1
Dimensions (cm)
67%
Size Reduction

Design Evolution

Initial prototype
Initial Prototype
First generation design
Current prototype
Current Prototype
Optimized for comfort
Why Chest Placement?

Research demonstrates the chest has the lowest perceptual threshold for vibrotactile stimulation.

Chest Sensitivity
0.72
Perceptual Threshold

Real-Time Signal Analysis

Gait signal patterns

Our edge AI system analyzes continuous streams of motion data to distinguish between normal walking patterns and the characteristic signatures of freezing episodes.

Distinct acceleration and gyroscope patterns for FoG
Sliding window segmentation with overlap
Optimized for low-latency edge deployment
Validation

Clinically Validated Performance

Rigorous testing across multiple benchmark datasets demonstrates consistent, reliable detection performance.

90.52%
Accuracy
Binary classification
97.61%
AUC Score
Area under curve
0.85
F1 Score
Subject-wise validation
0.15
FP/min
False alarm rate

Cross-Dataset Validation

Our model maintains high performance across diverse patient populations and recording conditions.

Daphnet Dataset
F1: 0.80
CuPiD Dataset
F1: 0.74
Turning Dataset
F1: 0.78
Performance comparison

FoGO consistently outperforms baseline methods

Protected Innovation

Our technology is protected by a comprehensive intellectual property portfolio.

Prior Art Search

Comprehensive search completed

Utility Patent

Application #202531119165

Design Patent

Application #415906-001

In Progress

Additional filings underway

Our Team

Multidisciplinary Expertise

Our team brings together deep expertise in medical devices, embedded systems, machine learning, and clinical neurology.

Core Team

Dr. Vikas Kumar

Dr. Vikas Kumar

Medical Devices

Device Design & Integration

Dr. Manoj K Parida

Dr. Manoj K Parida

Sensor Design

Embedded Electronics

Dr. Sanjeev Bhoi

Dr. Sanjeev Bhoi

Professor & HoD, Neurology

AIIMS Bhubaneswar

Dr. Rupesh Agarwal

Dr. Rupesh Agarwal

AI/ML Expert

Edge AI Development

Mr. Avinash K Jha

Mr. Avinash K Jha

CAD & PCB Designer

Hardware Design

Advisors

Dr. Jagganatha Sahoo

Dr. Jagganatha Sahoo

Clinical Advisor

Physical Medicine & Rehabilitation, AIIMS

Mr. Asutosh Nanda

Mr. Asutosh Nanda

IP & Legal Advisor

Intellectual Property

Dr. K D Shastri

Dr. K D Shastri

Regulatory Advisor

CRO & Compliance

Get in Touch

Let's Discuss How FoGO Can Help

Whether you're a healthcare provider, researcher, patient advocate, or potential partner, we'd love to hear from you.

Location
AIIMS Bhubaneswar, India