TY - JFULL AU - K. Shiba and T. Kaburagi and Y. Kurihara PY - 2017/1/ TI - Classification of State Transition by Using a Microwave Doppler Sensor for Wandering Detection T2 - International Journal of Biomedical and Biological Engineering SP - 678 EP - 684 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10008353 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 132, 2017 N2 - With global aging, people who require care, such as people with dementia (PwD), are increasing within many developed countries. And PwDs may wander and unconsciously set foot outdoors, it may lead serious accidents, such as, traffic accidents. Here, round-the-clock monitoring by caregivers is necessary, which can be a burden for the caregivers. Therefore, an automatic wandering detection system is required when an elderly person wanders outdoors, in which case the detection system transmits a ‘moving’ followed by an ‘absence’ state. In this paper, we focus on the transition from the ‘resting’ to the ‘absence’ state, via the ‘moving’ state as one of the wandering transitions. To capture the transition of the three states, our method based on the hidden Markov model (HMM) is built. Using our method, the restraint where the ‘resting’ state and ‘absence’ state cannot be transmitted to each other is applied. To validate our method, we conducted the experiment with 10 subjects. Our results show that the method can classify three states with 0.92 accuracy. ER -