Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61819
Title: Cognition and Decisional Experience to Support Safety Management in Workplaces
Contributor(s): de Oliveira, Caterine Silva (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2018
DOI: 10.1007/978-3-319-99996-8_24
Handle Link: https://hdl.handle.net/1959.11/61819
Abstract: 

Hazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, management of safety is essential to ensure the occupational health of workers. Aiming to assist the safety management process, especially in industrial environments, a Cognitive Vision Platform for Hazard Control (CVP-HC) is proposed. This platform is a Cyber Physical system, capable of identifying critical safety behaviors overcoming the limitations of current computer vision systems. In addition, the system stores experiential knowledge about safety events in an explicit and structured way. This knowledge can be easily accessed and shared and may be used to improve the user/company experience as well as to understand the company safety culture and to support a long term change process. The CVP-HC is a scalable yet adaptable system capable of working in a variety of video analysis scenarios whilst meeting specific safety requirements of companies by modifying its behavior accordingly. The proposed system is based on the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA).

Publication Type: Conference Publication
Conference Details: ISAT 2018: 39th International Conference on Information Systems Architecture and Technology, Poland, 16th to 18th of September, 2018
Source of Publication: Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018, v.854, p. 266-275
Publisher: Springer
Place of Publication: Germany
ISSN: 2194-5365
2194-5357
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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