KissLoc:基于商用智能眼镜的时空接吻识别系统

Hamada Rizk, Hirozumi Yamaguchi
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引用次数: 0

摘要

在本文中,我们提出了KissLoc:一个利用消费者眼镜设备的板载微尺寸传感器实现活动识别和定位双重目的的系统。具体来说,该系统训练了一个深度学习模型来识别亲吻活动,同时识别其发生的时间戳位置。因此,可以采取几个预定义的操作,包括记录或控制智能环境。评价结果表明,KissLoc识别接吻活动的准确率为82%,定位准确率中值误差为1.25m。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KissLoc: A Spatio-temporal Kissing Recognition System Using Commercial Smart Glasses
In this paper, we propose KissLoc: a system that leverages onboard micro-size sensors of consumer eyewear devices for the dual purpose of activity recognition and localization. Specifically, the system trains a deep learning model for recognizing kissing activity and simultaneously identifying the timestamped location of its occurrence. Consequently, several predefined actions could be taken, including logging or controlling the smart environment. The evaluation shows that KissLoc can recognize the kissing activity with 82% accuracy while locating its occurrence with a median localization error of 1.25m.
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