ReaderTrack: Reader-Book Interaction Reasoning Using RFID and Smartwatch

Online bookstores are capable of capturing readers preferences by analyzing click logs and transaction records, while physical bookstores or libraries still lack effective methods to gather reader behavioral data. Fortunately, the widespread use of mobile wearable devices and RFID technology opens up new possibilities for uncovering in-store experience. In this paper, we propose ReaderTrack, a system that integrates smartwatch and RFID to excavate interactions between readers and books. We first leverage inertial sensors of smartwatch and backscatter signals of RFID tags to infer reader behaviors and book motions, respectively. Then we associate readers with their corresponding books according to previously inferred behaviors and motions. We implement ReaderTrack with COTS devices and evaluate it extensively in our lab environment which mimics a typical reading room. Experimental results show the effectiveness and robustness of ReaderTrack in reader-book interaction reasoning.