机器人的非接触式心率识别,支持自然的人机交流

G. Bieber, Niklas Antony, Marian Haescher
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引用次数: 3

摘要

随着机器人助手的激增,如机器人吸尘器、远程呈现机器人或购物辅助机器人,人机交互变得越来越自然。机器人的功能正在不断扩展,这导致对自然的人机交流和交互的需求日益增加。因此,以文本或语音为基础的交流方式必须通过肢体语言和直接反馈(如情感或非语言交流)来扩展。在本文中,我们提出了一种基于相机的非身体接触光学心率识别方法,该方法可用于机器人,以识别人类在机器人与人类交流或互动期间的反应。为了检测心率和心率变异性,我们使用了位于机器人眼睛内部的标准摄像头(网络摄像头)。尽管基于摄像头的生命体征识别已经在之前的研究中进行了讨论,但我们注意到,在实际应用中仍然存在某些局限性。我们确定人工光源是主要的影响因素之一。因此,我们提出的策略是这样的:允许免费制作本作品的全部或部分数字或硬拷贝供个人或课堂使用,前提是副本不是为了盈利或商业利益而制作或分发的,并且副本在第一页上带有本通知和完整的引用。本作品的版权由作者以外的人所有,必须得到尊重。允许有信用的摘要。以其他方式复制或重新发布,在服务器上发布或重新分发到列表,需要事先获得特定许可和/或付费。请求许可,以改善社交机器人与人类之间的自然交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Touchless heart rate Recognition by Robots to support natural Human-Robot Communication
With the proliferation of robotic assistants, such as robot vacuum cleaners, telepresence robots, or shopping assistance robots, human-robot interaction becomes increasingly more natural. The capabilities of robots are expanding, which leads to an increasing need for a natural human-robot communication and interaction. Therefore, the modalities of text- or speech-based communication have to be extended by body language and a direct feedback such as emotion or non-verbal communication. In this paper, we present a camera-based, non-body contact optical heart rate recognition method that can be used in robots in order to identify humans' reactions during a robot-human communication or interaction. For the purpose of heart rate and heart rate variability detection, we used standard cameras (webcams) that are located inside the robot's eye. Although camera-based vital sign identification has been discussed in previous research, we noticed that certain limitations with regard to real-world applications do still exist. We identified artificial light sources as one of the main influencing factors. Therefore, we propose strategies with the aim Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from of improving natural communication between social robots and humans.
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