Development of an awakening detection system with the NN and adaptation for fluctuation of brightness quantity in the captured i

Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed an awakening detection system using Neural Network (NN). In this paper, to increase the detection capability of this system, we adopt a face extractive method into the proposed system to execute more detail extraction of the objective person’s image from the background. We show its feasibility with experimental results. In addition, to confirm the detection capability of the awakening detection system in the clinical site, the detection experiment using the captured image in the clinical site for the detection is conducted. From the result of this experiment, the detection success rate of this experiment is low. So, we analyze the captured image in the clinical site. From the result of the histogram analysis, it proves that the fluctuation of brightness quantity make decrease the detection capability. Therefore, to decrease the infl...

• Type: Journal
• Year: 2010
• Where: IJISTA
• Authors: Nobuhisa Yamanaka, Hironobu Satoh, Fumiaki Takeda
• Keywords: Brightness Quantity, Detection, Detection Capability, IJISTA 2010