Stress Detection System Using Internet of Things

Abstract

A change in electrical potential is caused by the confluence of hundreds of brain neurons, which is reflected by a brainwave. When a neuron has accumulated enough energy, it receives messages from nearby neurons and begins a cyclic discharge process. People also emit brainwaves on a regular basis for this reason. According to researchers at Michigan University's Laboratory of Brain Recognition and Behavior, long-term multitasking reduces productivity, and filtering out irrelevant signals causes the distraction of paying attention to the irrelevant message rather than work-related information. As a result, it would be impossible to move from one employment to another. On the other hand, some people rely on their brains to do a variety of jobs, which might lead to tiredness. As a result, we conducted this study to find the most effective approach for reducing spiritual stress and soothing the mind. Stress is a major problem in our society, as it leads to a variety of health problems as well as considerable financial losses in businesses. Unfortunately, there is currently no automatic, continuous, and unobtrusive technique for identifying early stress. The devised technique will incorporate a range of modalities due to the multimodal nature of stress and the research done in this sector. As a result, this work examines measurements taken along the three main modalities, namely, psychological, physiological, and behavioral modalities, as well as contextual measurements, to provide guidance on the most appropriate techniques to use and, as a result, to facilitate the development of suicidal ideation.