Publication: Sleep monitoring system for elderly care
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Date
2024-07
Authors
Hanis Zulaika binti Zulhairi
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Abstract
This research proposes a Sleep Monitoring System designed to remotely monitor elderly individuals. The system utilizes a wearable device equipped with
an MPU6050 sensor (accelerometer and gyroscope) and an ESP32 microcontroller board to track body movements and sleep posture, providing valuable insights into sleep patterns and improving overall sleep quality. The system's design incorporated the Internet of Things (IoT) using the Blynk application for real-time data transmission and remote monitoring, enabling caregivers to monitor sleep quality remotely. The system of the project focusing on detecting the posture of the user. In developing the Sleep Monitoring System, static body acceleration and gyroscope value was collected including the rollover of the body movement by using MPU6050 sensor. The average data of it was used to develop the algorithm of the sleep position detection. The sensor able to detect the posture of the user and the Blynk platform was used as a monitoring application, but limitations were identified, including incorrect classification of sleep positions and inability to display sleep duration data. The findings suggest that improvements are needed to enhance the system's classification system and data transmission capabilities. However, the project successfully developed a low-cost and wearable prototype, demonstrating its potential in providing valuable insights into
sleep patterns and improving overall sleep quality for elderly individuals. The implications of this research are significant, as it contributes to the development of a non-invasive and user-friendly sleep monitoring system.