On Enhancement in Wearable Devices using User Feed-back based Model

The wearable technology has found a great response in recent few days from the perspective of business markets and hence there is an extra ordinary inclination of the researchers towards this field of research. The opinion mining technique has been used widespread in decision making problems and product recommendation. In this paper, we propose a framework for enhancing the wearable technologies that may provide a great platform for wearable devices’ manufacturers to work on, and produce more efficient and better devices. We propose “User feedback based Model for Enhancement of Wearable Technology”. Here, we present a two-step procedure for our model. In first step, we present the architecture to select the best features of a wearable device like size, look, technology, cost etc. In the next step, we present these details to customers for taking their implicit feedback, i.e. the behavior of the user is noticed that gives the real choice of the users. We have suggested the improvement in wearable devices to enhance the technology based on the recommendation of the users which is being obtained by their feedbacks taken implicitly from them. We took vector feedback of the users in terms of five vectors that tells their actual behavior towards the review presented before them. The proposed model may lead to very critical and dynamic ways in development of the devices of learning and technology.