**Acknowledgements**

This study was partly supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the Global IT Talent support program (NIPA-2014- ITAH0905140110020001000100100) supervised by the NIPA (National IT Industry Promotion Agency), the Senior-friendly Product R&D program funded by the Ministry of Health & Welfare through the Korea Health Industry Development Institute (KHIDI) (HI15C1027), and the Technology Innovation Program MKE/KEIT (Grant No. 10041629, Implementation of Technologies for Identification, Behavior, and Location of Human based on Sensor Network Fusion Program).
