A PRELIMINARY APPROACH TOWARDS THE PERUSAL OF PHYSIOLOGICAL SIGNALS IN SMART-WEARABLES: REASONED APPLICATIONSAT COMSUMER-END

Smart-wearables, in conjunction with AI and IoT, has grown exponentially in terms of capabilities and popularity. Tasks such as measuring physiological signals, for instance, ECG and EEG are now possible on consumer-grade hardware which earlier required elaborate equipment. This fact opens new possibilities in terms of using physiological signals for various purposes. Physiological signals are activities of the Autonomous Nervous System (ANS) and provide insight towards a person's body. Using smart-wearables for constant analysis of physiological signals has several applications. As discussed in this paper, this ranges from disease detection in healthcare to emotion detection for recommender systems. Its application even extends to the security sector. With further developments in smart-wearable technology, it will be possible to get a perspicacity towards various physiological signals more accurately, which can, therefore, be taken advantage of in a broader scope. Emotion recognition is one such application which is germane in respective industries. Understanding the underlying true emotion of a user can be disruptive in recommender systems as well as human-computer interaction. This paper discusses some of the prospective applications of the analysis of physiological signals using smart-wearables. This paper also surveyed consumers, taking their views on the use of physiological signals in smart-wearables at consumer-end.