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This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.
Developing a wireless, portable system with IMU and FSR sensors to monitor foot plantar pressure and gait of individuals with DFD or neurological abnormalities. The system provides visual feedback, gait parameters, shank kinematics, CoP, and stability evaluation. Data is transferred to a PC for analysis.
Open, cited and machine-readable database of AI glasses, smart glasses, display glasses and translation glasses. JSON/CSV/JSON-LD, CC BY 4.0. Unknown values are null, not estimated.