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Suicide is a negative outcome of combination of complex personal, social and mental health factors, which forces the individual to consider it as the only way out to their problems. Suicide has become one of the most significant causes of death in the United States. A major cause of this ominous event is due to mental illnesses such as major depression and bipolar depression. With an aim to increase the awareness of suicide and improve the quality of life of people who are vulnerable or prone to suicidal ideation, this research focuses on developing an IoT-based framework that can help in continuously monitoring physiological and behavioral signals of the individual. The proposed framework, M-SID, is designed based on a hypothesis to capture rapid variation of suicidal ideation using physiological signals. The proposed research is validated with the help of a custom-built hardware and the results are verified using a commercially available wrist band. 

Overindulgence of harmful substances such as drugs or alcohol, called substance abuse, can directly affect a person's health and their day-to-day activities. The younger population become more vulnerable to such use of psychoactive substances due to lack of awareness of the long-term hazardous effects these substances can have on their health. Additionally, these individuals tend to develop severe mental disorders as they grow older. With the boom of Internet of Things (IoT), the use of wearable sensors such as smartwatches and smartphones has tremendously increased. These wearables help in monitoring a person's physiological signal and keep them informed of one's health. In this research, we propose an edge-intelligent IoT-based wearable that can assist in substance-abuse detection by monitoring their physiological signals on daily basis. The proposed system helps in monitoring the substance abuse and craving of the individual and help the healthcare provider to start an early intervention as required. The proposed system is validated using a custom-built wearable, i-SAD, which was developed as a dedicated substance abuse wearable using commercially available off-the-shelf components. The proposed wearable design was validated using medical quality wearable and yielded a correlation of 0.89 for accelerometer values and 0.92 for average heart rate values.