Virtual reality safety training using deep EEG-net and physiology data

Abstract Training simulator is an efficient and innovative tool to help users learn professional skills due to its convenience and safety. However, complex human–computer interaction is one of the main disadvantages that limit its effectiveness in safety training, especially for the rescue of a railway accident that requires collaborations. Through designing a set of task-specific hand gestures, we developed a training simulator for the recovery of a railway accident that helps the rescuers learn and practice rescue skills in a life-like environment and gain the firsthand experience. To test the validity of our training simulator, a user experiment is designed to compare it with the controller-based simulator in a between-groups study with 51 participants, focusing on different aspects of effectiveness. The results demonstrate that the hand gesture-based controller can be more efficient and usable to deal with complex interactions than the traditional hand-held controller.

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Risk And Safety Training Using Virtual Reality (VRSafety)

10.2118/111509-ms ◽

2008 ◽

Cited By ~ 3

Author(s):

Stian Hoiset ◽

Eli Glittum

Keyword(s):

Virtual Reality ◽

Safety Training

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Comparing immersive virtual reality and powerpoint as methods for delivering safety training: Impacts on risk perception, learning, and decision making

Safety Science ◽

10.1016/j.ssci.2018.07.021 ◽

2019 ◽

Vol 111 ◽

pp. 271-286 ◽

Cited By ~ 22

Author(s):

Johannes Leder ◽

Tina Horlitz ◽

Patrick Puschmann ◽

Volker Wittstock ◽

Astrid Schütz

Keyword(s):

Decision Making ◽

Virtual Reality ◽

Risk Perception ◽

Safety Training ◽

Immersive Virtual Reality

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A Virtual Reality Platform for Safety Training in Coal Mines with AI and Cloud Computing

Discrete Dynamics in Nature and Society ◽

10.1155/2020/6243085 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Mei Li ◽

Zhenming Sun ◽

Zhan Jiang ◽

Zheng Tan ◽

Jinchuan Chen

Keyword(s):

Virtual Reality ◽

User Experience ◽

Safety Training ◽

Coal Miners ◽

Underground Coal Mine ◽

Emergency Rescue ◽

The Past ◽

Vr Training ◽

Task Oriented ◽

System Designs

Coal mining, regarded as a high-risk industry, has a strong demand for virtual reality (VR) to fulfill safety and emergency rescue training. In the past ten years, VR technology has significantly improved miner training on both the hardware and software side. However, it still has some drawbacks, such as expensive and unsuitable hardware, lack of satisfactory user experience, without direct browser access, and lack of humanized and intelligent design. To solve these problems, a cloud-based VR system is designed for the training of coal miners in this paper. The system, with browser/client architecture, includes eight modules demonstrating the full procedure of an underground coal mine. The online cloud-rendered video streaming is adopted to provide enough computing and rendering power and hence a better browser-based user experience. Furthermore, game artificial intelligence (AI) is also introduced into the system to increase the emotional exchange between the system and users. Unlike traditional VR training software, this system designs two virtual miners to enhance the experience of trainees. The first virtual miner is a task-oriented non-player-character (NPC) which conveys general knowledge about the mine and guides the users in visiting the underground work sites. The second virtual miner is a disaster-oriented character which prepares the users for typical disasters. The system has been successfully implemented in a laboratory environment, and its performance has been validated. Yet, further practices are needed to stimulate more innovative applications of VR-based miner training and disaster drilling.

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