Market Context — Why This Technology, Why Now

Organizations worldwide are grappling with challenges related to employee engagement, mental health, and retention, exacerbated by remote work and talent shortages. The demand for data-driven HR solutions that move beyond subjective assessments is surging. This technology provides a unique, non-invasive method to objectively measure interpersonal dynamics, offering a critical tool for fostering healthier, more productive work environments and improving overall organizational resilience.

Key Competitive Advantages
01

Provides objective relationship assessment, quantifying human relationship quality from unconscious behavioral data, beyond subjective surveys or interviews.

02

Enables non-invasive, real-time analysis, continuously monitoring relationships from natural motion data without user awareness, allowing early detection and response to changes.

03

Demonstrates high technical uniqueness with only two prior art documents, highlighting its technical superiority for rapid market share acquisition and competitive advantage.

Market Opportunity
Corporate HR & Organizational Development
$1.3B globally (AI est.)
There is active investment in improving employee engagement, team building, reducing turnover, and mental health care, driving demand for objective, data-driven solutions.
Enterprise HR software providers Organizational development consulting firms Corporate wellness platform developers Talent management solution providers
Educational Institutions
$350M globally (AI est.)
Educational institutions seek to enhance group learning, facilitate early intervention in bullying, and support student relationship building, increasing the need for improved communication tools.
Educational technology (EdTech) companies School administration software developers Student counseling service providers
Medical & Elderly Care Facilities
$200M globally (AI est.)
Diverse applications are expected, including evaluating patient-caregiver relationships, supporting communication for dementia patients, and strengthening team coordination in care settings.
Healthcare IT solution providers Elderly care technology developers Patient monitoring system manufacturers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an information processing apparatus, method, and program that objectively determine relationship quality by detecting and phasing motion data to calculate synchronicity between individuals. It was granted rapidly through an accelerated examination, with robust claims clarified during prosecution, indicating a strong and difficult-to-invalidate right.

Competitive White Space

This patent primarily focuses on motion data synchronicity for relationship assessment. Licensees could explore building IP around integrating other biometric data (e.g., heart rate, voice tone), developing specific intervention strategies based on detected relationship issues, or creating personalized coaching modules.

Economic Impact
~$1.0M/year estimated organizational operating cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a company with 1,000 employees, assuming a 5% improvement in annual turnover rate due to enhanced employee relationships, and an estimated recruitment, education, and training cost of $20K/employee (AI est.), the expected annual cost reduction is 1,000 employees × 0.05 (turnover improvement) × $20K/employee = ~$1.0M (AI est.). This also mitigates productivity losses from poor interpersonal relationships.

Speed to Market
6× faster than in-house development
This technology is built on a clear algorithm for motion data detection, phasing, synchronicity calculation, and relationship judgment. With the patent already registered, legal risks are mitigated, and development time is significantly reduced. Based on generic sensing and data processing technologies, it offers high compatibility with existing tech stacks, allowing market entry in approximately 6 months, compared to about 3 years for in-house development.
Competitive Positioning

X: Non-verbal Data Analysis Accuracy
Y: Real-time & Objectivity

Business Models & Applications
☁️ SaaS Analytics Platform
Offer a SaaS platform providing relationship analysis reports and team improvement suggestions based on employee motion data. A monthly subscription model could ensure stable revenue.
🔗 API Licensing
Provide an API for the relationship judgment algorithm to existing HR tech companies and groupware developers, enabling them to integrate this functionality into their products and build a broad ecosystem.
🤝 Consulting Partnership
Partner with organizational development consulting firms to offer solutions incorporating this technology. This would enhance value through data-driven, concrete organizational improvement support.
Adjacent Application Opportunities
👵 介護・見守り
Elderly Care Communication Support
In elderly care facilities or home care, analyzing the motion synchronicity between seniors and caregivers could assess relationship quality and communication flow. This has the potential to improve quality of life for residents and reduce caregiver burden by up to 15%.
⚽ スポーツ・チームビルディング
Team Cohesion Enhancement System
For team sports like soccer or basketball, real-time measurement of motion synchronicity between players could quantitatively evaluate team cohesion and tactical execution. This could maximize training effectiveness and improve team performance by 10-20%.
🛍️ 小売・接客
Customer Engagement Analytics
In retail, analyzing non-verbal motion synchronicity between customers and staff could evaluate service quality and its impact on customer satisfaction. This could inform effective sales training and store layout improvements, potentially boosting customer engagement by 5-10%.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Tech Validation & Requirements
Duration: 3 months
Define specific challenges and integration requirements with existing systems. Develop a Proof of Concept (PoC) plan to verify applicability and effectiveness.
Phase 2: Prototype & PoC Implementation
Duration: 6 months
Develop a prototype based on defined requirements. Conduct PoC in a real environment, evaluating and improving accuracy and practicality from data acquisition to relationship judgment.
Phase 3: Full Deployment & Optimization
Duration: 9 months
Based on PoC results, proceed with full system construction and deployment. Continuously analyze data post-launch to optimize the system and expand functionality.
Technical Feasibility
The core component of this technology, 'motion detection,' can be achieved using commercially available wearable sensors, cameras, or smartphones. The information processing unit can be integrated as software into existing cloud infrastructure or on-premise environments, eliminating the need for significant new capital investment. Each function described in the patent claims can be implemented with common data processing techniques and algorithms, ensuring high compatibility with existing IT systems and relatively easy deployment.
Success Scenario
Upon adoption, companies could objectively and in real-time understand employee engagement and team collaboration. This could enable early detection and intervention for potential interpersonal issues within the organization, potentially improving turnover rates by 10% and increasing annual productivity by 5%. Ultimately, it is estimated to foster a healthier, more productive organizational culture.
Patent Record
APPLICATION NO.
特願2022-168333
REGISTRATION NO.
7713238
FILING DATE
2022/10/20
GRANT DATE
2025/07/16
EXPIRATION DATE
2042/10/20
PATENT HOLDER
国立大学法人　筑波大学
Examination History
2025年02月13日
出願審査請求書
2025年02月13日
早期審査に関する事情説明書
2025年03月05日
早期審査に関する通知書
2025年04月15日
拒絶理由通知書
2025年06月06日
意見書
2025年06月06日
手続補正書（自発・内容）
2025年06月24日
特許査定