Graphiques Innovation Challenge — 2026

ZEROFALL

A Predictive Fall-Prevention System for the Elderly
Using Passive Floor-Mat Gait Sensing
Innovation Theme
Healthcare & Wellbeing
Secondary Theme
Product & Industrial Design
Format
Service + Physical Product
Target Market
Global · $50B+ TAM
Submission Date
September 7, 2026
Challenge
Graphiques 2026
Graphiques Innovation Challenge · devpost.com/graphiques-challenge
✦
Overview
Executive Summary

Falls are the leading cause of injury-related death among adults over 65, killing one person every 19 minutes in the US alone. ZEROFALL is a passive, wearable-free floor-mat system that continuously analyzes an elderly person's gait patterns and alerts caregivers before a fall occurs — not after.

Unlike cameras (privacy-invasive), wearables (compliance-dependent), or reactive call buttons (too late), ZEROFALL sits invisibly beneath a standard doormat or bathroom mat. Pressure-sensitive sensors capture step cadence, weight distribution, stride asymmetry, and tremor — all without any action required from the user. A companion app delivers predictive alerts to family members and caregivers up to 72 hours before a high-risk event is likely to occur.

ZEROFALL is designed from the ground up around three non-negotiables: dignity (no cameras, no wearables), simplicity (plug-and-play, zero user interface), and accessibility (affordable enough for individual families, not just care facilities).

1 in 4
Elderly adults fall each year
$80B+
Annual US fall-related healthcare costs
36M
Falls reported in the US annually
1
Section One
Project Title

ZEROFALL — Predict the Fall. Prevent the Harm.

The name ZEROFALL encodes the aspiration directly: a world where fall-related injury among the elderly approaches zero. It signals both the mission (eliminate falls) and the mechanism (proactive interception before the event), while being short, memorable, and translatable across languages and markets.

Preventive Healthcare Passive Sensing Elder Care IoT-Adjacent Caregiver Support Dignity-First Design
2
Section Two
Selected Theme

Primary: Healthcare & Wellbeing

ZEROFALL directly addresses healthcare accessibility and preventive wellness — shifting elderly fall management from emergency response to proactive health maintenance. It reduces hospitalizations, alleviates caregiver burden, and extends independent living periods for older adults.

Secondary: Product & Industrial Design

The core innovation is a physical product: a pressure-sensing floor mat engineered for durability, washability, slip-resistance, and aesthetic neutrality. The design challenge is significant — the mat must be indistinguishable from a standard domestic mat while embedding sophisticated multi-sensor arrays and wireless communication hardware.

Interdisciplinary Connection: ZEROFALL sits at the intersection of preventive healthcare, behavioral sensing, product design, and caregiver service design. The product is the delivery mechanism; the outcome is health. Neither works without the other.

3
Section Three
Problem Statement

What is the problem?

Falls among adults aged 65 and older are a silent epidemic. Every year, approximately 36 million falls occur in the United States alone, resulting in 3 million emergency department visits, 800,000 hospitalizations, and over 32,000 deaths. Globally, falls are the second leading cause of accidental injury death, after road traffic injuries. The economic cost exceeds $80 billion annually in direct medical expenditure in the US — and that figure does not account for lost productivity, informal caregiving costs, or the psychological aftermath of fall-related trauma.

Critically, falls are not random events. Research consistently shows that deteriorating gait patterns — subtle changes in step cadence, stride symmetry, and weight transfer — are measurable predictors of fall risk that manifest days or even weeks before an actual fall occurs. Yet most interventions remain reactive: they activate only after someone has already fallen.

Who is affected?

Why does it matter?

The global population of adults over 65 is expected to double from 727 million in 2020 to 1.5 billion by 2050. The fall problem will scale proportionally — unless we shift from reactive management to predictive prevention. Every fall that doesn't happen saves an average of $10,000 in direct healthcare costs, preserves independence, and prevents the psychological cascade that follows a serious fall event.

What are the current limitations & why do existing approaches fail?

Existing Solution Limitation Why It Fails
Emergency call buttons (Life Alert) Reactive only Activates after the fall. Requires user to be conscious and wearing device.
Wearable sensors (smartwatches) Compliance gap 68% of elderly non-adherence rate. Must be worn consistently to be useful.
In-home cameras Privacy violations Most families and elderly users refuse camera monitoring in bedrooms and bathrooms — where most falls occur.
Clinical gait assessment Point-in-time, infrequent Gait is assessed every 6–12 months. Deterioration between appointments goes undetected.
Grip bars & home modifications Environmental only Reduces fall severity but does not predict or prevent the fall trigger. High installation cost.

The Core Gap

No existing solution provides continuous, passive, predictive fall-risk monitoring that respects the dignity and privacy of the user while requiring zero behavioral change from the elderly person themselves. This is the gap ZEROFALL fills.

4
Section Four
Proposed Solution

What ZEROFALL Is

ZEROFALL is a passive gait-monitoring floor-mat system that continuously captures pressure-based walking data from an elderly person's daily movements — without any cameras, wearables, or active user participation. The system has three integrated components:

① The ZeroMat™ (Physical Sensor Mat)

A 90cm × 60cm floor mat embedding a 32×20 grid of piezoelectric pressure sensors. Placed at high-traffic locations: bedroom doorway, bathroom entrance, hallway. Washable, non-slip, aesthetically standard. Communicates via Bluetooth Low Energy to a hub. Battery life: 18 months. Retail target: $149 per mat.

② The ZeroHub™ (Local Processing Unit)

A small, plug-in hub (size of a phone charger) that aggregates data from up to 6 mats and runs a locally-stored gait analysis model. Uploads compressed gait trend data — not raw pressure data — to the cloud. This ensures privacy: only derived metrics (stride symmetry score, cadence variance, step hesitation index) leave the home. No audio or visual data. Retail target: $49.

③ The ZeroApp™ (Caregiver Intelligence Platform)

A mobile and web application for family members, professional caregivers, and healthcare providers. Delivers a daily "Gait Health Score" (1–100), trend graphs over time, and tiered alerts: Green (normal), Yellow (watch — subtle decline detected), Red (high risk — intervention recommended). Integrates with GP referral workflows in supported markets. Monthly subscription: $12/month.

How It Works — The Science

ZEROFALL's core insight is that gait is a vital sign. Research from MIT AgeLab, Mayo Clinic, and the New England Journal of Medicine has demonstrated that the following gait parameters deteriorate measurably before a fall occurs:

The local model builds a personalized baseline for each user over the first 14 days, then continuously monitors for statistically significant deviation. This personalization is what makes ZEROFALL effective — it doesn't compare the user to a population norm, it compares them to their own healthy baseline.

Who Would Use It

5
Section Five
Innovation & Uniqueness
🛡️

Zero-Compliance Innovation

Unlike wearables or cameras, ZEROFALL requires no behavioral change from the elderly user. The mat is passive — it works automatically, every time someone walks across it, whether they remember to press a button or not.

🔒

Privacy-by-Architecture

No cameras. No microphones. No biometric data upload. Only compressed gait metrics leave the home. This is a fundamental design principle, not a feature — making adoption viable in markets where other solutions have been rejected on privacy grounds.

📊

Predictive vs. Reactive

Current solutions detect falls. ZEROFALL predicts them. The shift from reactive to predictive is the central innovation — enabled by continuous passive data collection that no previous form factor has achieved at consumer price points.

🧠

Personalized Baseline Model

The system adapts to each individual. A 68-year-old marathon runner and a 68-year-old with Parkinson's will have completely different baselines — and ZEROFALL correctly monitors each relative to their own norm, dramatically reducing false positives.

💰

Consumer-Accessible Price Point

Existing clinical gait analysis systems cost $50,000–$200,000. ZEROFALL achieves clinical-grade insight for $149 + $12/month — accessible to individual families, not just institutions.

♻️

Insurance-Aligned Business Model

The subscription model enables insurer partnerships where ZEROFALL is offered as a preventive benefit at zero cost to the user, paid by insurers who save $30–50 for every $1 invested in fall prevention.

What Makes This Different from Existing Patents & Products

Several companies have explored pressure-mat concepts (SmartFloor, Bodyguard), but none have achieved the combination of consumer price point + personalized predictive modeling + caregiver intelligence platform + privacy-preserving architecture. ZEROFALL is not a sensor product — it is a predictive health service delivered through a sensor product. The mat is the interface; the value is the prediction.

6
Section Six
Supporting Materials

A. Market Research Summary

Metric Value Source
Global elder care market size (2025) $1.9 trillion Grand View Research, 2025
Fall prevention tech market (2025) $3.2 billion MarketsandMarkets, 2025
Projected CAGR (fall prevention tech) 8.4% through 2030 Allied Market Research, 2024
US adults 65+ (2025) 58 million US Census Bureau, 2025
Wearable fall detector adoption rate 12% of eligible elderly AARP Research, 2024
Caregiver willingness to pay for monitoring $15–25/month Primary research survey, n=200
Average hospital cost per fall admission $34,000 CDC, 2023

B. Business Model Canvas (Summary)

Revenue Streams
Details
Hardware sales (ZeroMat + ZeroHub)
$149 + $49 per setup
Monthly subscription (ZeroApp Pro)
$12/month per household
Institutional licensing (care homes)
$199/room/year
Insurance partnership (bulk procurement)
$7/member/month (wholesale)
GP/physio referral data reports
$25 per clinical report

C. Financial Projections (3-Year)

Year Units Deployed Revenue Gross Margin EBITDA
Year 1 (Pilot + Early Adopters) 2,000 $580K 42% -$320K (investment phase)
Year 2 (Market Launch) 18,000 $4.2M 55% $380K
Year 3 (Scale + Insurance Channel) 75,000 $14.8M 62% $4.1M

D. Product Design Specifications

Attribute Specification
Mat dimensions 90cm × 60cm × 0.8cm (profile comparable to standard mat)
Sensor array 640 piezoelectric pressure sensors (32×20 grid), 10ms sampling rate
Material Thermoplastic polyurethane (TPU) shell, recycled rubber anti-slip base, machine washable top layer
Power Rechargeable LiPo, 18-month battery life under typical use
Connectivity Bluetooth 5.2 LE to ZeroHub; ZeroHub uses Wi-Fi 6 to cloud
Data privacy Only derived gait metrics uploaded (not raw pressure maps); all sensitive processing on-device
Weight capacity Up to 200kg
IP rating IPX4 (splash resistant)

E. Process Flow Diagram

Step 1 — Passive Capture

Elderly person walks across ZeroMat during normal daily activity. 640 sensors capture a full pressure map at 100Hz — each footstep generates a rich biomechanical signature.

Step 2 — Local Feature Extraction (ZeroHub)

ZeroHub processes raw sensor data locally, extracting 12 gait features per step. Raw data is discarded; only features are stored.

Step 3 — Baseline Calibration (Days 1–14)

System establishes a personalized healthy-baseline gait profile using the first two weeks of data. No alerts are generated during calibration.

Step 4 — Continuous Anomaly Detection

From day 15 onward, a locally-running anomaly detection model compares each day's gait features to the individual baseline. Deviation scoring triggers tiered alerts.

Step 5 — Caregiver Alert Delivery

ZeroApp delivers push notifications and daily summary reports. Yellow alerts recommend scheduling a GP visit. Red alerts include recommended immediate actions and one-tap emergency contact.

7
Section Seven
Project Presentation

Expected Users

Primary user persona — "The Distant Daughter": Sarah, 42, has a mother (Eleanor, 78) living alone 200 miles away. She worries constantly about her mother falling but knows Eleanor would refuse a camera and "forget" to wear a smartwatch. ZEROFALL is installed in three doorways during a visit — Eleanor never notices it, and Sarah gets a daily gait score on her phone with trends over weeks.

Secondary user persona — "The Care Home Manager": James manages a 60-bed assisted living facility. Falls are his biggest regulatory and insurance liability. ZEROFALL is deployed in every room. His nurses receive red alerts and can intervene proactively. His incident report rate drops 40% in year one.

Implementation Process

Month 1–3
Hardware Prototyping

Partner with contract electronics manufacturer for ZeroMat PCB design. 3D-print enclosures for pilot units. Software SDK development begins.

Month 4–6
Clinical Validation Pilot

Deploy 50-unit pilot with a university geriatrics department. Validate gait feature correlation with clinical fall-risk assessments (Timed Up and Go test, Berg Balance Scale).

Month 7–10
Consumer Beta

Recruit 200 families via AARP partnership. Refine alert thresholds based on real-world feedback. App UX iteration with caregiver user testing.

Month 11–14
Regulatory & Insurance Pathway

File FDA Class II 510(k) as a general wellness device. Engage two health insurers for pilot preventive benefit programs. CE marking process begins for European markets.

Month 15–18
Commercial Launch

D2C launch via website and Amazon. B2B sales team targets care facilities and GP practices. Insurance channel sales begin.

Resources Required

Potential Challenges & Mitigations

Challenge Risk Level Mitigation
False positive alert fatigue (caregiver ignores alerts) HIGH Personalized baseline model minimizes false positives. Alert escalation design (not every minor change triggers alert). 30-day feedback loop to tune thresholds per user.
Regulatory classification complexity (FDA) MEDIUM Initial positioning as general wellness device (lower burden). Engage regulatory consultant early. FDA pre-submission meeting in month 4.
Hardware reliability in wet environments (bathrooms) MEDIUM IPX4 rating, sealed PCB design, conformal coating. Bathroom-specific mat variant with enhanced waterproofing.
Consumer price sensitivity MEDIUM Insurance channel eliminates direct cost to consumer. Gift purchase model (adult children buying for parents) is less price sensitive.
Elderly refusal of new technology LOW Zero user interface required. Elderly user never needs to interact with any device. Installation done by family member once.

Expected Outcomes

40%
Reduction in fall incidents (pilot target)
$8,200
Healthcare savings per user per year
2.4 yrs
Extended independent living period

Based on published literature on fall prevention intervention efficacy (Sherrington et al., Cochrane Review 2019; Tricco et al., JAMA 2017), multifactorial fall prevention programs achieve 24–38% reduction in fall rate. ZEROFALL's continuous predictive capability is expected to exceed this benchmark, with a target of 40% reduction confirmed via the clinical validation pilot.

8
Section Eight
Optional Demonstration

Demonstration Concept: "Eleanor's Week"

The demonstration would take the form of a 3-minute animated walkthrough following a fictional user — Eleanor, 78 — through one week of ZEROFALL monitoring. The animation would show:

  1. Day 1: Family installs the mat during a Sunday visit. Eleanor goes about her week normally, completely unaware of any monitoring.
  2. Day 4: ZEROFALL detects a 12% increase in stride asymmetry and a new hesitation pattern. Caregiver app score moves from Green to Yellow.
  3. Day 5: Sarah (daughter) receives a Yellow alert: "Eleanor's gait shows early signs of balance shift. Consider scheduling a GP visit."
  4. Day 7: GP visit reveals a new medication interaction affecting balance. Medication is adjusted. Gait score returns to baseline within 3 days.
  5. No fall ever occurs.

"ZEROFALL doesn't tell you about the fall. It tells you about the week before the fall — when there's still time to do something about it."

Visual Mockups Available

✦
Closing
Why ZEROFALL Wins

The Opportunity in One Sentence

Falls kill more elderly people than most diseases people fear — and the solutions on the market are either too late (reactive), too intrusive (cameras), or too dependent on human compliance (wearables). ZEROFALL is none of these things. It is a mat. It sits on the floor. It saves lives.

The aging population is the most predictable megatrend of the next 30 years. Every country in the developed world, and an increasing number of emerging markets, will face an exponential rise in fall-related healthcare costs. ZEROFALL is not a niche assistive device — it is infrastructure for the next generation of preventive elder care.

The technology is feasible today. The market is real and growing. The business model is sustainable and insurance-aligned. The design respects the dignity of those it serves. And most importantly: the problem is urgent, and no current solution adequately solves it.

Identify. Imagine. Innovate. This is ZEROFALL.

R
Sources
References & Evidence Base
  1. CDC. (2023). Falls Are Leading Cause of Injury and Death in Older Americans. Centers for Disease Control and Prevention.
  2. Sherrington, C. et al. (2019). Exercise for preventing falls in older people living in the community. Cochrane Database of Systematic Reviews.
  3. Tricco, A.C. et al. (2017). Comparisons of Interventions for Preventing Falls in Older Adults. JAMA, 318(17), 1687–1699.
  4. World Health Organization. (2021). Falls: Key Facts. WHO Fact Sheets.
  5. Lord, S.R. et al. (2007). Falls in Older People: Risk Factors and Strategies for Prevention. Cambridge University Press.
  6. Menz, H.B. et al. (2003). Acceleration patterns of the head and pelvis when walking on level and irregular surfaces. Gait & Posture, 18(1), 35–46.
  7. Hausdorff, J.M. et al. (2001). Gait variability and fall risk in community-living older adults: a 1-year prospective study. Archives of Physical Medicine and Rehabilitation, 82(8), 1050–1056.
  8. AARP Research. (2024). Home and Community Preferences Survey.
  9. Grand View Research. (2025). Elder Care Market Size & Forecast.
  10. MarketsandMarkets. (2025). Fall Prevention Monitor Market.