Tao Wang
ABSTRACT
Out of concern for the health of diverse populations, a health parameter monitoring system based on human-computer speech interaction is designed. The system uses STM32F407 as Microcontroller Unit and integrates various sensors, including heart rate and blood oxygen sensor MAX30102, temperature and humidity sensor DHT22, gas sensor SGP30 and NEO-6M module to continuously monitor wearer's health parameters, environmental air quality and geographic coordinates. All monitored parameters are dynamically displayed on both LCD screen and the mobile application interface. In emergency situations, the speech synthesis module SYN6288 is used to provide speech alarms, and L610 automatically dials the alarm. Additionally, combining LD3320 and SYN6288, the wearer can engage in speech interactions with the system at any time, which is more direct and convenient than key interaction, enhancing user's experience. Tests indicated that the measurement accuracy of the system was above 96%, the alarm accuracy was above 98%, and the response time from detecting of anomalies to the system alarm was within 2s. Compared with the same type of fall intelligent alarm system, the dialing alarm of this system is more effective and has a faster response time, satisfying practical usage standards.
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