Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network

In this study, we introduce two methods for indoor localization of person by using an infrared ceiling sensor network, then the performances of them are compared. Through experiments we see that the nonlinear method for person localization obtains better performance. Based on the nonlinear person localization method, we recorded the Activities of Daily Living (ADLs) of a person successfully. By observing the ADL of the person, we can investigate the transition pattern between activities and the living habits of him/her conveniently.