PHAROS-PHysical Assistant RObot System
PHAROS-PHysical Assistant RObot System
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DOI：
10.3390/s18082633
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发表时间：
2018-08-01
期刊：
影响因子：
3.9
通讯作者：
Julian, Vicente
中科院分区：
文献类型：
--
作者：
Costa, Angelo;Martinez-Martin, Ester;Julian, Vicente
人口的巨大变化导致老龄化社会，需要技术解决方案来满足老年人日益多样化的需求。本文介绍了 PHAROS，这是一种交互式机器人系统，可以推荐和监控专为老年人设计的体育锻炼。 PHAROS 的目标是成为一个友好的老年伴侣，定期建议个性化的体育活动，促进健康生活和积极老龄化。在这里，介绍了 PHAROS 架构、组件和实验结果。该架构具有三个主要部分：Pepper 机器人，与用户交互并记录他们的锻炼表现；人类运动识别，使用 Pepper 记录的信息对使用深度学习方法进行的运动进行分类；推荐器是一个智能决策者，可以在用户的议程中定期安排个性化的体育锻炼。实验结果表明，对7人的体育锻炼进行检测和分类的准确率很高（97.35%）。此外，我们在推荐算法上实施了一种新颖的评级练习程序。它密切关注用户的健康状况（表现不佳可能会暴露出健康问题）并据此调整建议。该历史记录可用于访问用户的身体状况，揭示否则可能无法看到的潜在问题。
The great demographic change leading to an ageing society demands technological solutions to satisfy the increasing varied elderly needs. This paper presents PHAROS, an interactive robot system that recommends and monitors physical exercises designed for the elderly. The aim of PHAROS is to be a friendly elderly companion that periodically suggests personalised physical activities, promoting healthy living and active ageing. Here, it is presented the PHAROS architecture, components and experimental results. The architecture has three main strands: a Pepper robot, that interacts with the users and records their exercises performance; the Human Exercise Recognition, that uses the Pepper recorded information to classify the exercise performed using Deep Leaning methods; and the Recommender, a smart-decision maker that schedules periodically personalised physical exercises in the users' agenda. The experimental results show a high accuracy in terms of detecting and classifying the physical exercises (97.35%) done by 7 persons. Furthermore, we have implemented a novel procedure of rating exercises on the recommendation algorithm. It closely follows the users' health status (poor performance may reveal health problems) and adapts the suggestions to it. The history may be used to access the physical condition of the user, revealing underlying problems that may be impossible to see otherwise.