Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

Nam, Sang-Hun; Lee, Ji Yong; Kim, Jungyoon

doi:10.1155/2018/9054758

Cited by 10 publications

(6 citation statements)

References 36 publications

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“…Metrics obtained during medical studies of a person's condition are also of great interest: pulse, EEG, body temperature, etc. (Nam et al 2018 ). Qualitative metrics include metrics that reflect the user's subjective impressions of the process of interacting with virtual reality.…”

Section: Introductionmentioning

confidence: 99%

The study of virtual reality influence on the process of professional training of miners

et al. 2022

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Virtual reality technologies are actively applied for the organization of professional training in various industries, as well as in distance learning. However, numerous studies show the presence of a large number of negative factors that limit the effectiveness of using these technologies (united by the concept of "cybersickness"). The study, identification and reduction in the influence of these negative factors will increase the immersiveness and quality of the professional training process. Within the framework of this study, several hypotheses have been put forward regarding the negative and positive impact of VR technologies on the process of professional training, the coal and mining industry has been chosen as the subject area. Thus, the problem of effective training of miners for activities in regular and emergency situations is considered, in the latter case, VR technologies would allow forming the necessary set of skills and knowledge about actions in emergency situations. To confirm the declared hypotheses, an experimental group of 30 people was formed, corresponding to the trained miners by age characteristics. Based on the analysis, a list of quantitative and qualitative metrics for evaluating interaction with virtual reality was formed, the software of virtual scenes for two tasks (moving simple objects and a set of exercises in a virtual mine) was developed. The experimental group repeatedly performed these exercises, which allowed us to analyze the dynamics of changes in the average values of quantitative and qualitative metrics. The data obtained were processed by statistical tests (Shapiro–Wilk, Kruskal–Wallis, Mann–Whitney), which allowed us to assess the impact of the selected configurations (with and without VR) and the number of attempts on the selected metrics. The obtained results partially or completely confirmed the declared hypotheses and allowed us to form a list of recommendations for the organization of high-quality professional training using virtual reality technologies. Supplementary Information The online version contains supplementary material available at 10.1007/s10055-022-00687-7.

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Section: Introductionmentioning

confidence: 99%

The study of virtual reality influence on the process of professional training of miners

et al. 2022

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“…Gamified assessments raise additional concerns related to dexterity, vision impairment, etc [41]." The systematization of these publications discusses major emerging issues and limitations for accessible end-user security across the healthcare IT industry and broad scopes of assistive technology [4], [53], [63].…”

Section: Discussionmentioning

confidence: 99%

SoK: A Proposal for Incorporating Accessible Gamified Cybersecurity Awareness Training Informed by a Systematic Literature Review

Cruz¹,

Das²

2022

Proceedings 2022 Symposium on Usable Security

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“…Emotional sensing systems offer the potential to identify them and be able to address the causal factors and are useful in applications in multiple domains, especially those focused on health, such as stress [16,38,42] or other types of emotions [3,5,31,43,44], where physical and mental states can be monitored in real time [2,24,36] and can act accordingly [28] as intelligent assistants [21,45]; in environmental assisted living [27,33]; in the industries of games [26], robots [46,47], domotics [48], marketing, or recommendations [4,34,37,49]; and in the study of social behavior [23,30,34], authentication and security [18,39,48], or education [49], among others.…”

Section: Stress Detection: Related Workmentioning

confidence: 99%

“…Data collected from sensors are graphed, integrated into a broader context mobile system, and stored on the smartphone in a format accessible from any computer, in this case, comma separated value(s) (CSV), to perform real-time monitoring and visualization of selected features, as in [21], while processing and performing classification tasks. The first consists of processing the signals and extracting relevant features for classifiers, tasks, and useful knowledge that can be obtained through big-data-mining techniques.…”

Section: Introductionmentioning

confidence: 99%

Driver Stress Detection from Physiological Signals by Virtual Reality Simulator

et al. 2023

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One of the many areas in which artificial intelligence (AI) techniques are used is the development of systems for the recognition of vital emotions to control human health and safety. This study used biometric sensors in a multimodal approach to capture signals in the recognition of stressful situations. The great advances in technology have allowed the development of portable devices capable of monitoring different physiological measures in an inexpensive, non-invasive, and efficient manner. Virtual reality (VR) has evolved to achieve a realistic immersive experience in different contexts. The combination of AI, signal acquisition devices, and VR makes it possible to generate useful knowledge even in challenging situations in daily life, such as when driving. The main goal of this work is to combine the use of sensors and the possibilities offered by VR for the creation of a system for recognizing stress during different driving situations in a vehicle. We investigated the feasibility of detecting stress in individuals using physiological signals collected using a photoplethysmography (PPG) sensor incorporated into a commonly used wristwatch. We developed an immersive environment based on VR to simulate experimental situations and collect information on the user’s reactions through the detection of physiological signals. Data collected through sensors in the VR simulations are taken as input to several models previously trained by machine learning (ML) algorithms to obtain a system that performs driver stress detection and high-precision classification in real time.

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Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

Cited by 10 publications

References 36 publications

The study of virtual reality influence on the process of professional training of miners

The study of virtual reality influence on the process of professional training of miners

SoK: A Proposal for Incorporating Accessible Gamified Cybersecurity Awareness Training Informed by a Systematic Literature Review

Driver Stress Detection from Physiological Signals by Virtual Reality Simulator

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