The smart watch has GPS, WiFi, LBS, BT positioning, match appropriate positioning solutions according to different usage requirements.
Applications include elderly people living alone in social welfare, nursing homes, hospitals, prisons, schools, gas
stations and other fields.
waveform, heart rate value, dozens of heart disease correlations, improvement suggestions.
The Elderly Smart Watch with Fall Detection works with AI CARE app 2.0 in 2024, which has the following features:
1: Supports multi-language and multi-map selection. Functions can be configured. Different functions can be selected according to
different regions and customer agents.
2: Support rapid customization of customer APP and server platform.
3: It provides health analysis based on physiological data and exercise data. Relying on big data disease models and AI algorithms, users input existing body data and continue to wear and learn 2-4 In this case, the relationship between the user’s body and the disease model can be given, and
professional suggestions can be provided for users to improve their health.
4: The main algorithm models include motion algorithm, ECG algorithm, and PPG algorithm. The motion algorithm includes a more
accurate fall algorithm. The PPG algorithm includes HRV analysis, atrial fibrillation screening, fatigue analysis, mental stress,
sleep, etc.
