Abstract
In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting to note that implementing these two technologies promotes more and better automatic control systems that adjust to each user’s particular preferences in the home automation area. This work presents Smart Home Control, an intelligent platform that offers fully customized automatic control schemes for a home’s domotic devices by obtaining residents’ behavior patterns and applying machine learning to the records of state changes of each device connected to the platform. The platform uses machine learning algorithm C4.5 and the Weka API to identify the behavior patterns necessary to build home devices’ configuration rules. Besides, an experimental case study that validates the platform’s effectiveness is presented, where behavior patterns of smart homes residents were identified according to the IoT devices usage history. The discovery of behavior patterns is essential to improve the automatic configuration schemes of personalization according to the residents’ history of device use.
Highlights
Nowadays, machine learning techniques have gained importance in various study areas due to their large number of pattern discovery applications
This work presents Smart Home Control, an intelligent platform that offers fully customized automatic control schemes for domotic devices by obtaining residents’ behavior patterns through the application of machine learning techniques to the records of state changes of each device connected to the platform
It is important to mention that technological advances have allowed exponential growth in the number of Internet of Things (IoT) devices, which increases the ability to obtain information about the use that residents of a house give to their devices
Summary
Machine learning techniques have gained importance in various study areas due to their large number of pattern discovery applications. Krishna et al [3] formally established that IoT consists of interconnected physical devices and software components intending to exchange information to provide a service to the enduser In this way, IoT allows the strengthening of home automation areas, which comprises a set of methods and technologies designed to manage a house considering security, energy management, personal well-being and communication schemes [4]. This work presents Smart Home Control, an intelligent platform that offers fully customized automatic control schemes for domotic devices by obtaining residents’ behavior patterns through the application of machine learning techniques to the records of state changes of each device connected to the platform.
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