Cloud Server and Internet of Things Assisted System for Stress Monitoring

Abstract

Currently, the Internet of Things (IoT) has gained attention for its capability for real-time monitoring. The advancement in sensor and wireless communication technology has led to the widespread adoption of IoT technology in distinct applications. The cloud server, in conjunction with the IoT, enables the visualization and analysis of real-time sensor data. The literature concludes that there is a lack of remote stress-monitoring devices available to assist doctors in observing the real-time stress status of patients in the hospital and in rehabilitation centers. To overcome this problem, we have proposed the use of the IoT and cloud-enabled stress devices to detect stress in a real-time environment. The IoT-enabled stress device establishes piconet communication with the master node to allow visualization of the sensory data on the cloud server. The threshold value (volt) for real-time stress detection by the stress device is identified by experimental analysis using MATLAB based on the results obtained from the performance of three different physical-stress generating tasks. In addition, the stress device is interfaced with the cloud server, and the sensor data are recorded on the cloud server. The sensor data logged into the cloud server can be utilized for future analysis.

Automated Multimodal Stress Detection in Computer Office Workspace

“…The physiological measurements of the sensors were wirelessly transferred to a database and processed by applying fuzzy logic. The GSR sensor we used was also adopted in [48], in the context of an IoT device that transmits data about the stress of individuals via the internet and Bluetooth connection. A threshold value determination algorithm was defined to identify the real-time stress levels, while data visualization and analysis was achieved through the use of a cloud server.…”