Working Age: Providing Occupational Safety through Pervasive Sensing and Data Driven Behavior Modeling

Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference Pub Date : 1900-01-01 DOI:10.3850/981-973-0000-00-0

M. Fugini, Alexander Mertens, G. Borghini, C. Catalina, V. Rick, Roberto Tedesco, Gerardo Pelosi, Estefanía Arribas Leal, Marteyn van Gasteren, V. Ronca, Rosa Almeida, Tian Xu, Hatice Gunes, S. Comai, Alessandro Barenghi, Raquel Losada Durán, Hesam Sagha

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引用次数: 11

Abstract

The aging of the working population calls for innovative approaches to monitor and support the changes of physical, physiological and psycho-social capabilities of workers over time, as well as to promote habits aimed at improving both health and productivity. This paper presents the WorkingAge (Smart Working Environments for All Ages - WA) project, which focuses on innovative Human Computer Interaction methods (such as augmented and/or virtual reality or gesture/voice/noise recognition or gaze tracking) to improve the users’ psychological/emotional/health state at workplaces. Based on Internet of Things (IoT) technologies and on data driven models of the users’ characteristics and behaviors, the WA Tool will monitor the state of users to automatically provide a set of suggestions promoting healthy habits in their working environment as well as in their daily living activities. The paper presents general concepts at the basis of the WA project, its hardware-software sensor architecture, and the elements of the ontology capturing the key concepts of the data collected to proﬁle the users.

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工作年龄:通过普遍感知和数据驱动行为建模提供职业安全

工作人口的老龄化要求采取创新办法，监测和支持工人的身体、生理和社会心理能力随时间的变化，并促进旨在改善健康和生产力的习惯。本文介绍了WorkingAge(面向所有年龄段的智能工作环境- WA)项目，该项目侧重于创新的人机交互方法(如增强和/或虚拟现实或手势/语音/噪声识别或注视跟踪)，以改善用户在工作场所的心理/情绪/健康状态。基于物联网(IoT)技术，基于用户特征和行为的数据驱动模型，WA工具将监测用户的状态，并自动提供一套建议，以促进他们在工作环境和日常生活活动中的健康习惯。本文介绍了基于WA项目的一般概念，其硬件-软件传感器体系结构，以及捕获所收集数据的关键概念以描述用户的本体元素。

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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Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference

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