Market Context — Why This Technology, Why Now

The global push for enhanced worker safety, athletic optimization, and personalized healthcare is driving demand for advanced physiological monitoring. Regulatory bodies are increasingly scrutinizing workplace ergonomics and fatigue management, while competitive pressures in sports demand data-driven performance gains. This technology provides a non-invasive, highly accurate solution to these demands, enabling proactive intervention and significant improvements in human capital management across diverse sectors.

Key Competitive Advantages
01

Estimates muscle fatigue with high precision through physiological simulation, combining an energy supply system and a maximum muscle strength model based on chemical substance changes.

02

Estimates fatigue levels instantly from exercise data, enabling dynamic adjustment of training loads and workloads for performance optimization.

03

Requires no specialized devices, easily integrates with existing exercise measurement and physiological data, facilitating broad application across various scenarios.

Market Opportunity
Sports & Fitness
$3.5B globally (AI est.)
Professional athletes and fitness enthusiasts seek objective fatigue management for performance enhancement and injury prevention. The proliferation of wearable devices is driving market expansion.
Sports equipment manufacturers Professional sports organizations Fitness app developers Wearable tech companies
Medical & Rehabilitation
$2.0B globally (AI est.)
In rehabilitation, there is a high demand to appropriately manage patient physical load and maximize treatment efficacy. Objective fatigue assessment is essential for personalized medicine.
Medical device manufacturers Rehabilitation clinics and hospitals Digital health platform providers
Industrial & Occupational Safety
$1.5B globally (AI est.)
Due to labor shortages and heightened safety awareness, managing worker fatigue in industries like manufacturing and construction is an urgent issue. This directly impacts productivity maintenance and accident prevention.
Industrial equipment OEMs Construction companies Logistics and warehousing operators Occupational safety solution providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a broad and multifaceted technical scope through 12 claims, covering the method and apparatus for muscle fatigue estimation using physiological simulation. It was granted after successfully addressing examiner objections with appropriate amendments, indicating a robust and stable right that is resistant to invalidation.

Competitive White Space

This patent primarily covers the simulation model for fatigue estimation. White space exists in developing novel, non-invasive sensor hardware for data acquisition or integrating this model into comprehensive human-machine interface systems for automated feedback and control.

Economic Impact
~$450K/year (AI est.) in cost savings and productivity gains per facility.
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a company deploying this technology in a factory with 100 workers, it could improve productivity loss due to muscle fatigue by 10% annually. Considering annual personnel costs of ~$4.0M (AI est.) (at ~$50K/operator (AI est.) for 100 workers), this contributes to an annual productivity increase of ~$400K (AI est.) ($4.0M × 10%). Additionally, avoiding ~$50K (AI est.) in losses annually from fatigue-induced errors results in a total economic impact of ~$450K/year (AI est.).

Speed to Market
4× faster than in-house development
This technology is centered on a simulation model based on exercise data and physiological mechanisms, with its algorithms detailed in the patent specification. This eliminates the need for fundamental research or validation of core elemental technologies, allowing licensees to begin directly from the development phase. Compatibility with existing wearable devices and general exercise measurement systems minimizes new hardware development, enabling rapid market entry.
Competitive Positioning

X: Objectivity & Accuracy of Fatigue Estimation
Y: Real-Time Capability & Ease of Deployment

Business Models & Applications
💡 Technology Licensing Model
Licenses muscle fatigue estimation technology to wearable device manufacturers and sports tech companies, promoting feature additions to existing products and services.
📊 Cloud Service Provision Model
Develops a muscle fatigue data analysis SaaS platform utilizing this technology, offering it to professional sports teams and industrial enterprises on a monthly subscription basis.
🏥 Healthcare Partnership Model
Partners with medical institutions, rehabilitation facilities, and health management service providers to offer personalized fatigue management programs tailored to patients' and users' conditions.
Adjacent Application Opportunities
👵 Elderly Care & Monitoring
Elderly Fall Risk Prediction & Remote Monitoring
Continuously monitors physical activity and muscle fatigue in the elderly to predict fall risks early and assist caregivers in determining appropriate intervention timings. This could support independent living and safety for seniors, applicable to a ~$500M market segment.
👷‍♂️ Construction & Heavy Industry
Safety Management for High-Risk Workers
Measures and visualizes real-time muscle fatigue for workers in strenuous environments like construction sites and factories, automating appropriate rest recommendations and shift adjustments. This has the potential to prevent accidents caused by human error, significantly enhancing occupational safety and maintaining productivity, impacting a global market of over $1B.
🚀 Space & Extreme Environments
Physiological Monitoring in Extreme Conditions
Objectively manages muscle fatigue for individuals operating in extreme environments, such as astronauts or special forces, supporting performance maintenance and safety. This could optimize physical limits during long-duration missions or rigorous training, crucial for high-stakes operations where human error is unacceptable.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Data Integration & PoC
Duration: 3 months
Establish data acquisition and integration protocols with existing exercise measurement systems, and conduct a Proof of Concept (PoC) for this technology's simulation model.
Phase 2: Algorithm Optimization & Prototype Development
Duration: 6 months
Optimize simulation algorithm parameters to match the licensee's specific use case, then develop and implement a prototype system.
Phase 3: Validation & Full Deployment Preparation
Duration: 9 months
Validate effectiveness through field trials in actual operating environments, finalize estimation accuracy, and then proceed with full system deployment and operational readiness.
Technical Feasibility
This technology is based on a simulation model utilizing exercise data and physiological indicators, making it compatible with existing wearable sensors, activity trackers, and general physiological data acquisition devices. As a software algorithm, it integrates easily into existing IT infrastructure, avoiding the need for extensive new hardware. The patent claims cover the entire process from data acquisition to model application and result display, facilitating straightforward software implementation.
Success Scenario
Implementing this technology could optimize individual athlete training loads for sports teams, potentially reducing injury risk by 20% while improving performance by 10%. In manufacturing, proactive detection of worker fatigue could reduce human error-induced defect rates by 15%, contributing to stable production line operation.
Patent Record
APPLICATION NO.
特願2019-199766
REGISTRATION NO.
7417982
FILING DATE
2019年11月01日
GRANT DATE
2024年01月11日
EXPIRATION DATE
2039年11月01日
PATENT HOLDER
国立大学法人　東京大学
Examination History
2022年10月20日
出願審査請求書
2023年10月25日
拒絶理由通知書
2023年12月05日
手続補正書（自発・内容）
2023年12月05日
意見書
2023年12月13日
特許査定