Microservices model in WoO based IoT platform for depressive disorder assistance

The Internet of Things promises tremendous benefits in our everyday life where healthcare is one of the application areas in which IoT has also paved its way for the development of human assistance technologies. With smart sensing and remote monitoring, peoples' health conditions can be assessed more effectively but to provide IoT services such as depressive disorder assistance still, there are many challenges to overcome. A huge number of connected heterogeneous devices and enormous amounts of data generated by these devices are not only difficult to manage but providing services with them in a dynamic IoT environment, count for significant efforts. There is a requirement for mechanisms that not only cater the heterogeneity of IoT devices but also provide dynamic services efficiently based on user requirements. Web of Objects (WoO) platform enables IoT services by virtualizing real world objects using semantic ontology. It provides a base for the development of interoperable microservices which support dynamic features by utilizing streams of sensory data. This paper proposes a Microservices Model in WoO based IoT platform to provide services for depressive disorder assistance. In addition, a Real World Knowledge (RWK) model of user situations and emotions has also been developed.

I. Introduction

Internet of Things (IoT) has been conceptualized as a system of collectively interrelated objects that are identified uniquely and communicate the data over the network without even human intervention. This next generation technological mega trend has shown its practical applications to every field of our life, among these fields one is of healthcare, where various IoT solutions have been provided [1]. Similarly, IoT has applications in the area of mental health in which services based on the classification of emotions on device data are being produced, whereas, conventionally to identify depressive symptoms doctors used the Hamilton scale to answer a set of questions. However providing IoT services in order to heal the depressed people are not thoroughly explored. There is a requirement of a system that can provide IoT services by detecting depression symptoms and recommend services to deliver depressive disorder assistance.