A Generalized Review Of Human-Computer Interaction Using Electromyogram Signals

The primary use of human-computer interaction is in the smart home as well as in industry 4.0. Communication between computers and humans can be benefitted from a spontaneous interchange of emotions. The objective of the work is to provide an idea regarding the process of identifying various emotions using facial electromyography signals through the electrode placement method. Here, one contemplated the facial electromyography on masticatory function assessment and emotional articulation monitoring. Furthermore, we have also presented the measurement of facial electromyography including the selection of electrode, location of the electrode, and reduction of noise. Facial emotions have a significant effect on the cognitive process of the human brain such as doubt perception, ability to solve problems, learning capabilities, emotional interactions, and memory which is beneficial while interacting with patients suffering from depression and stress. Through the use of rehabilitation applications, patients are directed through their recovery process while becoming accustomed to their emotional state or wellbeing, which has the dual effect of boosting motivation and accelerating recovery. This review paper will motivate and inspire researchers and engineers for finding more suitable systems for various applications. © 2023 Bentham Science Publishers.