Abstract
Activity recognition evaluation via machine learning
Highlights
Computerised technology has become an integral part of a modern society, producing an increasingly ubiquitous and pervasive technological infrastructure with an increasing popularity of mobile devices
Most of the devices consisting of the Internet of Things (IoT) are used in industrial applications; highly automated systems, smart cities and buildings, as well as manufacturing and supply chain management [1]
If this IoT definition given by the United Nations is a true description of what the IoT is perceived to be, the IoT cannot be limited to the domain of industrial applications only but must exist in more mundane and common aspects of society as well
Summary
Computerised technology has become an integral part of a modern society, producing an increasingly ubiquitous and pervasive technological infrastructure with an increasing popularity of mobile devices. The IoT has been described as being connectivity for anyone at any time and place, essentially a new dynamic network of networks [2] If this IoT definition given by the United Nations is a true description of what the IoT is perceived to be, the IoT cannot be limited to the domain of industrial applications only but must exist in more mundane and common aspects of society as well. For this to occur, it means the inclusion of an entity that is consistently overlooked in IoT discussion; people. Whenever people become sufficiently accustomed to something they cease to be aware of it on a conscious level
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