This research aims at composing indoor fall detection system for the elderly at a nursing home. The system reduces their uncomfortable feeling by avoiding attaching sensors on the human bodies. The proposed system can detect falls of the elderly while walking with passive RFID sensor tags attached to a pair of room shoes in order to monitor their activities. This paper presents a method of data collection, feature extraction and machine learning techniques.