| dc.description.abstract | As the need for safety and health increases, wearable technology continues to evolve
to support early detection of bodily conditions that can impact productivity and safety,
including drowsiness detection. This study aims to develop a vibrate band based on
the ESP32 microcontroller, using the MAX30102 sensor to detect drowsiness levels in
users. The MAX30102 sensor functions to monitor physiological signals, such as heart
rate and heart rate variability (HRV), which are indicators of alertness levels and
potential drowsiness. Data generated by the sensor is processed by the ESP32, which
then activates a vibration motor to provide a warning in the form of vibrations if
increased drowsiness levels are detected. This prototype is expected to become an
effective wearable solution for detecting drowsiness, especially in situations requiring
high alertness, such as driving or industrial work. The results of this study indicate
that ESP32 and MAX30102-based technology has great potential to be applied in early
drowsiness warning systems, providing a positive contribution to preventing risks due
to excessive drowsiness in work and transportation environments. | en_US |
