Vol 3 No 6 (2017): IJRDO - Journal of Electrical And Electronics Engineering
Articles

Awakening Detection System for Patients Covered by a Quilt Using a Depth Sensor and a Neural Network

Geer Cheng
Aichi Institute of Technology
Bio
Hideo Furuhashi
Aichi Institute of Technology
Bio
Published June 30, 2017
Keywords
  • depth sensor,
  • awakening behavior,
  • support vector machine
How to Cite
Cheng, G., & Furuhashi, H. (2017). Awakening Detection System for Patients Covered by a Quilt Using a Depth Sensor and a Neural Network. IJRDO - Journal of Electrical And Electronics Engineering (ISSN: 2456-6055), 3(6), 09-18. Retrieved from https://ijrdo.org/index.php/eee/article/view/277

Abstract

An awakening detection system for bedridden patients covered by a quilt using a ceiling-mounted depth sensor is evaluated. The performance of the depth sensor for monitoring situations where subjects are covered by quilts of different thicknesses using a neural network is discussed. The state of the subject was differentiated into four cases: “lying on back in bed,” “lying on side in bed,” “sitting up in bed,” and “no longer in bed.” The network obtained from the dataset of a specific quilt cannot be used for discrimination in a general case with quilts of different thicknesses. The network obtained using datasets with quilts of different thicknesses shows a good performance. Further improvements in the performance can be obtained by including the values of the maximum height and thickness of the quilt in the datasets

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