Awareness Home Automation System Based on User Behavior through Mobile Sensing

Abstract

Abstract. This paper proposed awareness home automation system (HAS) based on mobile sensing. Some of the ideas have been proposed in HAS but most of them still requires human intervention such as click the button, voice commands, etc. We want to design and develop HAS which can understand and comprehend the user desires without having to wait for commands from the user (awareness HAS). In this research we exploit two of android sensors. First, accelerometer sensor for identification and activity recognition, second, magnetic field for user indoor positioning system and defined the context related to physical environment. This paper presenting the result of used both of the sensors for developing awareness HAS.

Developing and Evaluating Mobile Sensing for Smart Home Control

“…In the previous work [2], we achieved 88 % accuracy in real environment but we have delay problems. Method that we used in previous work was combine features from accelerometer and magnetic field.…”

“…We use android devices for the client and we modify the Heimdroid 2 application as client application. Actually, this paper is improvement from our previous work [2]. In the previous work, we can achieve 88 % accuracy (correct responses) in real environment but we have many of delay problems.…”

“…Where is the ℎ value in ( ). is the threshold to determine TPs using equation (2). The peaks which have value (m) greater than are identified as set of TPs:…”