Title :
Human localization based on spiking neural network in intelligent sensor networks
Author :
Obo, Takenori ; Kubota, Naoyuki ; Taniguchi, Kazuhiko ; Sawayama, Toshiyuki
Author_Institution :
Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
This paper proposes a human localization method in sensor networks for monitoring elderly people. First, we explain the proposed intelligent sensor networks. Next, we apply a spiking neural network to extract feature points for human localization from a measurement data by sensor networks. Furthermore, we propose a learning method using spiking neural network based on the time series of measurement data. Finally, we discuss the effectiveness of proposed method through experimental results in a living room.
Keywords :
computerised instrumentation; computerised monitoring; geriatrics; health care; intelligent sensors; learning (artificial intelligence); neural nets; wireless sensor networks; elderly people monitoring; human localization; intelligent sensor network; learning method; spiking neural network; Artificial neural networks; Feature extraction; Humans; Neurons; Robot sensing systems; Senior citizens; human localization; robot partnaers; sensor networks;
Conference_Titel :
Robotic Intelligence In Informationally Structured Space (RiiSS), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9885-7
DOI :
10.1109/RIISS.2011.5945792