Smart Watch by using Iot technology
The system employs artificial intelligence and machine learning algorithms to analyze user health patterns, detect anomalies such as irregular heart rhythms, abnormal vital signs, falls, prolonged inactivity, or potential medical emergencies, and generate predictive health insights. In the event of a detected emergency, the smart watch automatically transmits the user's real-time location, health parameters, and emergency alerts to predefined contacts, healthcare providers, or emergency response services.
Conventional smart watches primarily focus on basic fitness tracking and often lack comprehensive real-time health monitoring, intelligent emergency detection, and seamless IoT connectivity for remote healthcare. Existing systems may fail to provide timely alerts during medical emergencies, continuous remote access to health data, or predictive analysis of health conditions. This invention addresses these limitations by integrating IoT connectivity, multiple health sensors, real-time data analytics, and automated emergency notifications into a single smart wearable device, enabling proactive health monitoring, improved patient safety, and efficient remote healthcare management.
The invention provides an IoT-based smart watch that integrates multiple health-monitoring sensors, wireless communication modules, GPS, and cloud connectivity to continuously collect, analyze, and transmit real-time health and location data. The system utilizes artificial intelligence to detect abnormal health conditions, falls, and emergencies, and automatically sends alerts with the user's location and vital signs to caregivers or healthcare providers
existing smart watches generally provide basic health monitoring and fitness tracking but often lack integrated IoT-based real-time remote monitoring, predictive health analytics, and automated emergency response capabilities within a unified system. Many devices rely on manual intervention to share health information or generate alerts, which can delay assistance during critical situations. This invention addresses these gaps by combining continuous IoT connectivity,
- Continuous real-time health monitoring using multiple integrated sensors.
- IoT-enabled cloud connectivity for remote access to health data from anywhere.
- AI-based analysis to detect abnormal health conditions and predict potential health risks.
- Automatic fall detection and emergency alert generation with real-time GPS location sharing.
- Secure mobile and web applications for caregivers and healthcare professionals to monitor users remotely.
- End-to-end encrypted data transmission and cloud storage for enhanced privacy and security.
- Personalized health insights and notifications based on individual health trends and activity patterns.
Industries where the invention can be useful?
Healthcare and Hospitals Telemedicine and Remote Patient Monitoring Medical Device Manufacturing Wearable Technology Industry Consumer Electronics Internet of Things (IoT) Solutions Digital Health and HealthTech Elderly Care and Assisted Living Fitness and Wellness Sports and Athletic PerformanceAn estimate of the total addressable market?
USD 500Potential Customers/End Users. Who might benefit?
Senior care and assisted living facilities Hospitals and healthcare providers Clinics and telemedicine service providers Doctors and physicians Caregivers and family members Fitness enthusiasts and athletes Sports training centers Health insurance companies Corporate organizations for employee wellness programs Industrial workers in manufacturing, mining, and construction Oil & gas companiesActions
Added all portfolio
| Country | Current Status | Patent Application Number | Patent Number | Applicant / Current Assignee Name | Title | Google Patent Link |
| India | Grant | 234567 | 43176 | test | Smart Watch by using IoT Technology | Not mentioned |
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