Machine Learning Methods for Stress Monitoring using Wearable Devices

The physical and mental tension experience due to a challenge or a demand of a situation is known as stress. It is said that it is a normal human reaction as any other. Stress can help you detect a danger or meet a work deadline. Hence, stress can be positive but at the same time if an individual gets exposed to stress for a long period of time or multiple situations inducing stress simultaneously, it can affect their physical and mental health tremendously. To reduce health risks, one need to keep these stress levels low and controlled. To detect and monitor the stress levels there are many approaches and algorithms available. A multimodal dataset can be produced using wearable device like smart-watch. There are different noticeable shifts in human body if it is stressed and due to which various bio signals are created. This paper reviews the machine learning methods and algorithm which contribute in detecting stress levels and managing it for an individual using wearable sensors and devices.