This system is an AI-powered, non-invasive smart wearable solution that monitors vital signs and detects emergency situations through smart garments and smart bands, both of which are ready for immediate deployment.

The system uses ballistocardiograph (BCG) sensors embedded in comfortable wearables to measure heart rate, HRV, respiration, posture, and stress levels without requiring direct skin contact. The smart garment is worn just like ordinary clothing, while the smart band can be attached to any desired body part or worn over regular clothing like a belt, ensuring flexibility and ease of use.

Advanced algorithms analyze the collected data to detect abnormal patterns and identify emergency situations such as falls or prolonged inactivity in real time. Alerts are sent via the companion mobile application to designated caregivers and institutions, enabling timely response without requiring the user to take any action.

This non-invasive, wearable approach provides continuous monitoring while preserving the user’s comfort and dignity, making it particularly well-suited for elderly individuals, post-operative patients, and those with chronic health conditions.

This smart wearable health monitoring system is highly adaptable across healthcare, elderly care, industrial safety, and transportation safety sectors. It can be deployed in hospitals, nursing homes, assisted living centers, and private homes to provide continuous, non-invasive monitoring for seniors, post-operative patients, and individuals with chronic conditions.

Governments and public health organizations can integrate the system into aging-in-place and remote care programs, improving care delivery efficiency while reducing caregiver burden.

Commercial products based on this technology include smart garments and bands that passively collect vital signs and stress indicators. These can be marketed to institutional buyers such as care facilities and hospitals, as well as to individual consumers who require at-home monitoring.

Beyond elderly care, the system is also applicable to mental health monitoring, rehabilitation, sleep quality tracking, and workplace safety. For industrial applications, it can be embedded in safety vests for construction workers to monitor fatigue and prevent accidents. In transportation, it can be used in safety belts to detect drowsiness and alert drivers, enhancing road safety.

By combining real-time alerts, long-term trend analysis, and multi-environment adaptability, it addresses the limitations of traditional wearables, camera-based monitoring, and invasive sensors. The system stands out for its ability to improve quality of life while preserving user dignity, particularly for seniors, post-operative patients, and those with chronic illnesses who may struggle with complex or uncomfortable devices.

With high measurement accuracy, multiple granted patents, and a scalable architecture designed for homes and institutions, this solution sets a new standard for non-invasive, AI-powered senior care monitoring.

• Hospitals and elderly-care institutions for pilot deployment and outcome validation
• Smart home and digital health companies for system integration and scaling
• Municipal government and insurers for public health and remote care programs
• Device OEMs for embedding into commercial bedding, chairs, or wearables