Title :
An Improved Position Prediction Algorithm Based on Active LeZi in Smart Home
Author :
Hongqing Fang ; Jinjin Ruan
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
In smart home environments, each inhabitant has their own habits, these habits have certain periodic and time-varying characteristics. According to these characteristics, an improved Time-varying LeZi algorithm (TALZ) is proposed, which is based on Active LeZi algorithm (ALZ). Compared to other models, the results show that TALZ has smaller time complexity, higher prediction accuracy of laboratory data acquisition, and it is suitable for real-time, accurate position prediction in smart home environments.
Keywords :
handicapped aids; home automation; TALZ; accurate position prediction; active LeZi; active LeZi algorithm; handicapped aids; higher prediction accuracy; improved position prediction algorithm; laboratory data acquisition; smart home environments; time complexity; time varying LeZi algorithm; time-varying characteristics; Accuracy; Dictionaries; Intelligent sensors; Prediction algorithms; Predictive models; Smart homes; LeZi algorithm; postion prediction; smart home;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.433
