Privacy-conscious detection of roll-over based on thermography measurement

K. Zempo, Mizuho Okada, Takehiro Matsumoto, Y. Motomura, Hiroshi Sato
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Abstract

Because of the accident of falling out of the bed of inpatients / recipients of care occurs constantly in nursing /care facilities, the technique of roll-over detection / posture state estimation are required. In this paper, we developed the detection technique of roll-over with the thermographic watching system with the respect of a person's privacy The detection of roll-over is the method which finds out the errant characteristic value of the thermography. By using the Higher-order Local Auto-Correlation (HLAC) as the characteristic value, several of rollover and awaking was detected.
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基于热成像测量的翻车隐私检测
由于在护理/护理机构中住院病人/被护理者从床上摔下的事故时有发生,因此需要翻身检测/姿势状态估计技术。本文在尊重个人隐私的前提下,利用热像仪监测系统开发了侧翻检测技术,侧翻检测是发现热像仪错误特征值的一种方法。采用高阶局部自相关(HLAC)作为特征值,检测了几种侧翻和唤醒信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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