Ai.Connect Launches Demonstration Experiment of Fall Detection and Behavioral Analysis AI in Elderly Care Facilities
Ai.Connect and Kizunaro have launched a demonstration experiment for an elderly monitoring solution utilizing skeletal sensor AI. The project aims to verify the accuracy of fall detection and behavioral analysis, as well as the effectiveness of reducing nursing staff workloads, within elderly care facilities in the Tokyo metropolitan area.
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- 📰 Published: March 28, 2026 at 00:54
- 🔍 Collected: March 28, 2026 at 21:59 (21h 5m after Published)
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Ai.Connect Co., Ltd. (Headquarters: Utsunomiya City, Tochigi Prefecture; Representative Director: Yusuke Matsunaga; hereinafter "Ai.Connect") and Kizunaro Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director: Tomofumi Otsuki; hereinafter "Kizunaro") have initiated a demonstration experiment for an elderly monitoring solution utilizing skeletal sensor AI.
In this demonstration, the accuracy of fall detection and behavioral analysis, as well as the impact on reducing the workload of nursing staff, will be verified at assisted living facilities and serviced housing for the elderly in the Tokyo metropolitan area.
The objective is to verify the practicality of a next-generation monitoring infrastructure for elderly facilities by combining Ai.Connect's stable communication technology, "Virtual Path," with Kizunaro's skeletal sensor AI.
Background: Social Issues of an Aging Society and Monitoring Systems
In Japan, as the aging population progresses, the importance of monitoring systems that can quickly identify fall accidents and health abnormalities is increasing.
Especially in elderly care facilities, tasks such as rounds and safety checks are performed daily to ensure the safety of residents, but the burden on the front lines is increasing year by year due to the shortage of nursing care personnel.
On the other hand, various monitoring services have emerged as technology for understanding the living conditions of the elderly; however, there is a demand for the establishment of monitoring means suited to the environment of the facility from the perspectives of:
- Consideration for privacy
- Installation methods that do not hinder daily life
- Ease of long-term operation
Against this background, interest is rising in non-contact sensing technology that can capture daily activities while maintaining privacy.
Skeletal sensor AI is a technology that grasps behavioral patterns by analyzing the skeletal information of the human body, enabling the detection of abnormal movements without storing image data.
Overview of the Demonstration Experiment
Theme: Demonstration of elderly monitoring technology utilizing skeletal sensor AI and operational stability using a stable communication infrastructure.
Purpose:
- Verification of fall detection accuracy for the elderly
- Verification of the effectiveness of daily behavioral analysis
- Verification of the effect on reducing the workload of nursing staff
- Verification of the operational stability of the sensor system and communication infrastructure
Target Facilities: Elderly facilities in the Tokyo metropolitan area (Assisted living homes, Serviced housing for the elderly)
Implementation Period: March 2026 to April 2026 (planned)
Implementation Structure:
Ai.Connect: Provision of stable communication technology "Virtual Path," network operation, and construction of communication infrastructure.
Kizunaro: Provision of skeletal sensor AI, development and technical provision of behavioral analysis system.
Technologies Used
(1) Skeletal Sensor AI: Technology that detects the human skeletal structure without contact and uses AI to analyze behavioral patterns. It allows for monitoring that respects privacy by not storing images.
(2) Virtual Path: Internet stable communication technology that utilizes virtual communication paths to maintain communication quality even when access is concentrated.
Verification Items
In this demonstration, the feasibility of the service will be verified from the following perspectives to clarify whether it can be established as a monitoring service integrated into the management operations of housing complexes.
- Technical Effectiveness: Accuracy of fall detection by skeletal sensor AI, effectiveness of behavioral pattern analysis, stability of data communication using "Virtual Path."
- Operational Feasibility: Practicality of monitoring notifications, operability of the management screen, impact on the workload of facility staff.
- Service Implementation: Ease of installation and operation in facility environments, management load in actual operation.
Expected Future Service Value
Through this demonstration, the company aims to provide the following value in the future:
- Residents and Families: A monitoring environment that considers privacy, early identification of abnormalities such as falls.
- Care Facilities: Efficiency of monitoring tasks, reduction of staff workload.
- Housing and Real Estate Sector: Development of living environments where the elderly can live with peace of mind, improvement of added value for housing for the elderly.
Future Prospects
Based on the results obtained from this demonstration, Ai.Connect plans to consider:
- Design for the practical application of the monitoring service
- Establishment of introduction costs and operation models
- Full-scale deployment in elderly facilities
- Consideration of implementation feasibility in collective housing
In the future, the company aims to build a next-generation living environment platform that integrates communication infrastructure and monitoring services by combining it with "i-Net," an internet service for collective housing provided by the company.
Furthermore, based on the insights gained from this demonstration, the policy is to consider the possibility of collaboration and co-creation with real estate companies and housing providers, as well as companies that provide services and lifestyle support solutions for the elderly, and even companies considering new service development in this domain.
Through this initiative, Ai.Connect is also considering the construction of a new model for living environments for the elderly that combines services in multiple domains such as housing, communication, monitoring, and life support.
In this demonstration, the accuracy of fall detection and behavioral analysis, as well as the impact on reducing the workload of nursing staff, will be verified at assisted living facilities and serviced housing for the elderly in the Tokyo metropolitan area.
The objective is to verify the practicality of a next-generation monitoring infrastructure for elderly facilities by combining Ai.Connect's stable communication technology, "Virtual Path," with Kizunaro's skeletal sensor AI.
Background: Social Issues of an Aging Society and Monitoring Systems
In Japan, as the aging population progresses, the importance of monitoring systems that can quickly identify fall accidents and health abnormalities is increasing.
Especially in elderly care facilities, tasks such as rounds and safety checks are performed daily to ensure the safety of residents, but the burden on the front lines is increasing year by year due to the shortage of nursing care personnel.
On the other hand, various monitoring services have emerged as technology for understanding the living conditions of the elderly; however, there is a demand for the establishment of monitoring means suited to the environment of the facility from the perspectives of:
- Consideration for privacy
- Installation methods that do not hinder daily life
- Ease of long-term operation
Against this background, interest is rising in non-contact sensing technology that can capture daily activities while maintaining privacy.
Skeletal sensor AI is a technology that grasps behavioral patterns by analyzing the skeletal information of the human body, enabling the detection of abnormal movements without storing image data.
Overview of the Demonstration Experiment
Theme: Demonstration of elderly monitoring technology utilizing skeletal sensor AI and operational stability using a stable communication infrastructure.
Purpose:
- Verification of fall detection accuracy for the elderly
- Verification of the effectiveness of daily behavioral analysis
- Verification of the effect on reducing the workload of nursing staff
- Verification of the operational stability of the sensor system and communication infrastructure
Target Facilities: Elderly facilities in the Tokyo metropolitan area (Assisted living homes, Serviced housing for the elderly)
Implementation Period: March 2026 to April 2026 (planned)
Implementation Structure:
Ai.Connect: Provision of stable communication technology "Virtual Path," network operation, and construction of communication infrastructure.
Kizunaro: Provision of skeletal sensor AI, development and technical provision of behavioral analysis system.
Technologies Used
(1) Skeletal Sensor AI: Technology that detects the human skeletal structure without contact and uses AI to analyze behavioral patterns. It allows for monitoring that respects privacy by not storing images.
(2) Virtual Path: Internet stable communication technology that utilizes virtual communication paths to maintain communication quality even when access is concentrated.
Verification Items
In this demonstration, the feasibility of the service will be verified from the following perspectives to clarify whether it can be established as a monitoring service integrated into the management operations of housing complexes.
- Technical Effectiveness: Accuracy of fall detection by skeletal sensor AI, effectiveness of behavioral pattern analysis, stability of data communication using "Virtual Path."
- Operational Feasibility: Practicality of monitoring notifications, operability of the management screen, impact on the workload of facility staff.
- Service Implementation: Ease of installation and operation in facility environments, management load in actual operation.
Expected Future Service Value
Through this demonstration, the company aims to provide the following value in the future:
- Residents and Families: A monitoring environment that considers privacy, early identification of abnormalities such as falls.
- Care Facilities: Efficiency of monitoring tasks, reduction of staff workload.
- Housing and Real Estate Sector: Development of living environments where the elderly can live with peace of mind, improvement of added value for housing for the elderly.
Future Prospects
Based on the results obtained from this demonstration, Ai.Connect plans to consider:
- Design for the practical application of the monitoring service
- Establishment of introduction costs and operation models
- Full-scale deployment in elderly facilities
- Consideration of implementation feasibility in collective housing
In the future, the company aims to build a next-generation living environment platform that integrates communication infrastructure and monitoring services by combining it with "i-Net," an internet service for collective housing provided by the company.
Furthermore, based on the insights gained from this demonstration, the policy is to consider the possibility of collaboration and co-creation with real estate companies and housing providers, as well as companies that provide services and lifestyle support solutions for the elderly, and even companies considering new service development in this domain.
Through this initiative, Ai.Connect is also considering the construction of a new model for living environments for the elderly that combines services in multiple domains such as housing, communication, monitoring, and life support.