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Smart home or home automation has become widely popular especially in the case of easing the lives of people with special needs, for instance the elderly and handicapped people. In every home, a specific user has a unique pattern or sequence of using the functions of that house. Recognizing that unique pattern is the key to ensuring an intelligently and properly automated household where the house will remember the behavior of a user and predict the next service required by the user successfully. In this research, a recently developed algorithm named as sequence prediction via enhanced episode discovery (SPEED) is considered for modification by inclusion of location agents. A smart home prototype consisting of two rooms is designed as a testbed for verification. The results show that the accuracy of this algorithm is more than 40%, which is better than the previous SPEED. Moreover, the algorithm detects the location of next predicted event. Since human activity can be distinguished by their existing locations, predicting the next event as well as the location helps to determine the next action more accurately.

A Location Based Sequence Prediction Algorithm for Determining Next Activity in Smart Home