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"IEEE Sensors Alert" is a new service of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.
Heart rate oxygen rate temperature watch (HOT Watch) transforms IoT-based health monitoring by providing real-time tracking of vital signs with an accuracy exceeding 99.4%. It outperforms other leading devices available. Powered by IoT and the Pan-Tompkins algorithm(PTA), it efficiently processes health data and transmits it via Bluetooth for instant notification. GPS tracking and real-time alerts facilitate prompt medical responses, making it a dependable solution for personal and remote healthcare.
Accidental falls across age groups and occupations could affect the quality of life. This work presents an innovative deep-learning approach specifically designed for edge devices for fall detection. The wearable sensor combines a three-axis accelerometer, gyroscope, and pressure sensor. It operates in real-time, recognizing the actions performed and categorizing them as everyday activities or falls. The power-efficient, low-cost, simple model with 99.38% accuracy and 25ms inference time is practical for real-world applications.
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