Genetic Algorithm-Based Human Mental Stress Detection and Alerting in Internet of Things.

Healthcare is one of the emerging application fields in the Internet of Things (IoT). Stress is a heightened psycho-physiological condition of the human that occurs in response to major objects or events. Stress factors are environmental elements that lead to stress. A person's emotional well-being can be negatively impacted by long-term exposure to several stresses affecting at the same time, which can cause chronic health issues. To avoid strain problems, it is vital to recognize them in their early stages, which can only be done through regular stress monitoring. Wearable gadgets offer constant and real information collecting, which aids in experiencing an increase. An investigation of stress discovery using detecting devices and deep learning-based is implemented in this work. This proposed work investigates stress detection techniques that are utilized with detecting hardware, for example, electroencephalography (EEG), photoplethysmography (PPG), and the Galvanic skin reaction (GSR) as well as in various conditions including traveling and learning. A genetic algorithm is utilized to separate the features, and the ECNN-LSTM is utilized to classify the given information by utilizing the DEAP dataset. Before that, preprocessing strategies are proposed for eliminating artifacts in the signal. Then, the stress that is beyond the threshold value is reached the emergency/alert state; in that case, an expert who predicts the mental stress sends the report to the patient/doctor through the Internet. Finally, the performance is evaluated and compared with the traditional approaches in terms of accuracy, f1-score, precision, and recall.

Immunity credentials using self-sovereign identity for combating COVID-19 pandemic.

The refugees and migrants are not recorded generally and deemed invisible by governments without providing them with identity and welfare services. The COVID-19 pandemic has badly impacted the economy, and the poor migrants and refugees have suffered most due to the closure of industries and informal sectors. Lack of legal identity made them more vulnerable and excluded them from getting benefits of even meagre government support and welfare schemes. Self-sovereign identity is a form of distributed digital identity that can provide immutable identity with full user control and interoperability features. Self-sovereign identities also ensure the privacy and security of personal information. SSI model can effectively provide migrants and refugees with an effective legal identity and include them in government welfare schemes and other schemes run by non-governmental agencies. Also, SSI can be used for uniquely identifying the people who have been already vaccinated or tested negative from COVID-19 within a stipulated time. This paper reviews the aspects of SSI application during the pandemic situation like COVID-19.