Trauma 2021

The proceedings contain 65 papers. The topics discussed include: blended learning using augmented reality glasses during the COVID-19 pandemic: the present and the future;training in soft-tissue resection using real-time visual computer navigation feedback from the surgery tutor: A randomized controlled trial;activating emotions enhance surgical simulation performance: A cluster analysis;SonoGames: delivering a point of care ultrasound curriculum through gamification;portable, adjustable simulator for cardiac surgical skills;teaching heart valve surgery techniques using simulators: A review;design and validity evidence for a unique endoscopy simulator using a commercial video game;comparison of a novel silicone flexor tendon repair model to a porcine tendon repair model;and challenges addressed with solutions, simulation in undergraduate and postgraduate surgical education, innovative education or research in surgical education.

Towards Adaptive Quality Assurance in Industrial Applications

We propose the AQUILA framework (Adaptive Quality Assurance in Industrial Applications), a concept for digitalization in Industry 4.0 to support the entire industrial manufacturing chain, laying the groundwork for adaptive quality assurance in times of disrupted supply chains and, due to the COVID-19 pandemic, restricted travel possibilities. To that end, our proposed framework allows for the definition and description of industrial processes, quality assurance and testing protocols, and training scenarios in a comprehensive notation based on BPMN, and supports users in task execution, documentation, and evaluation by providing smart glass-based HCI with eye tracking technology, delivering a combination of process documentation, context-sensitive AR visualization, gaze-based interaction schemes, and remote maintenance and assistance functionality. © 2022 IEEE.

WebRTC-based real-time non-face-to-face visual assistance system design and research for the visually impaired using glasses-type assistive devices

This paper discusses the system for visual assistance assistant non-face-to-face activity assistance services to help blind and blind people with visual information during their daily lives. We would like to provide a limited number of helpers to help more people through non-face-to-face services. In addition, we would like to minimize the mutual anxiety between the blind and the helper in offline face-to-face activities due to pandemics such as COVID-19. The proposed system uses raspberry pie-based optician aids and WebRTC streaming technology to help visually impaired people check videos taken through aids in real time through streaming and translate videos. In addition, by allowing voice calls to be made so that visually impaired people can communicate well in situations where they ask for help, the visually impaired can only receive help at the moment they need it in real time. This is expected to contribute to the efficient use of time and manpower to assist more visually impaired people. As a follow-up study, we would like to study how the function of spectacle-type aids can be added to assist blind people in doing more activities independently.

A Depth Camera-based Warning System Design for Social distancing Detection

Nowadays, COVID-19 is raging around the world. Because of its highly contagious, people have to take many measures and change their daily lifestyle to face it. Keeping social distancing is particularly important for the prevention of COVID-19, especially for the administrator of public spaces, it makes sense to urge people to maintain social distancing. However, if the administrator directly carries out social distancing management, it will consume a lot of manpower and material resources, it is necessary to design a system that can automatically detect social distancing status in the areas. For the studies of social distancing detection, most of the related works use pixel analysis techniques based on images to obtain distance data, but this type of technique may produce large errors due to the difference camera angles. Therefore, in this paper, we plan to present a design of the social distancing detection and warning system by using the devices of high-precision depth camera and Android-based smart glasses. By using the depth camera, we can obtain the distance data more accurately to prevent misjudgment due to insufficient information acquisition, in addition, the using of smart glasses as the information terminal in order to provide relevant social distancing warning information to the area administrators more quickly and accurately. This system will not only benefit area administrators directly, but will also provide the basis for research in the area of social distancing risk in public places. © 2021 IEEE.

A Wearable Warning System Design for Mask Recognition via AR Smart Glasses

Under the influence of COVID-19, various studies have shown that the most important transmission of the epidemic is droplet infection, it is the most effective way to control the epidemic by wearing a mask in a safe range. To confirm the situation of masks-wearing in public, a useful way is to use image-recognition technology to detect the people in the field. On the other hand, with the continued development of wearable devices, smart glasses have been widely used in many files such as handicapped person support. Based on the previous researches, it is already possible to incorporate facial recognition technology into smart glasses. Especially, the application of Augmented Reality (AR) technology on smart glasses can provide users with a lot of additional information, for example, to highlight the targets who been identified. Therefore, to identify the people who are not wearing masks more effectively, in this paper we try to design and wearable mask recognition warning system by using the AR smart glasses. The system can supply the warning messages about the person without masks in both visual and auditory way to the user to support the users including the handicapped persons who not being able to hear or see. The results of this study may provide guidelines to develop the epidemic prevention system and offers useful insights for the supporting of handicapped persons. © 2021 IEEE.

Applications and User Perceptions of Smart Glasses in Emergency Medical Services: Semistructured Interview Study.

BACKGROUND: Smart glasses have been gaining momentum as a novel technology because of their advantages in enabling hands-free operation and see-what-I-see remote consultation. Researchers have primarily evaluated this technology in hospital settings; however, limited research has investigated its application in prehospital operations. OBJECTIVE: The aim of this study is to understand the potential of smart glasses to support the work practices of prehospital providers, such as emergency medical services (EMS) personnel. METHODS: We conducted semistructured interviews with 13 EMS providers recruited from 4 hospital-based EMS agencies in an urban area in the east coast region of the United States. The interview questions covered EMS workflow, challenges encountered, technology needs, and users' perceptions of smart glasses in supporting daily EMS work. During the interviews, we demonstrated a system prototype to elicit more accurate and comprehensive insights regarding smart glasses. Interviews were transcribed verbatim and analyzed using the open coding technique. RESULTS: We identified four potential application areas for smart glasses in EMS: enhancing teleconsultation between distributed prehospital and hospital providers, semiautomating patient data collection and documentation in real time, supporting decision-making and situation awareness, and augmenting quality assurance and training. Compared with the built-in touch pad, voice commands and hand gestures were indicated as the most preferred and suitable interaction mechanisms. EMS providers expressed positive attitudes toward using smart glasses during prehospital encounters. However, several potential barriers and user concerns need to be considered and addressed before implementing and deploying smart glasses in EMS practice. They are related to hardware limitations, human factors, reliability, workflow, interoperability, and privacy. CONCLUSIONS: Smart glasses can be a suitable technological means for supporting EMS work. We conclude this paper by discussing several design considerations for realizing the full potential of this hands-free technology.

Using smart glasses for monitoring cyber threat intelligence feeds

The surge of COVID-19 has introduced a new threat surface as malevolent actors are trying to benefit from the pandemic. Because of this, new information sources and visualization tools about COVID-19 have been introduced into the workflow of frontline practitioners. As a result, analysts are increasingly required to shift their focus between different visual displays to monitor pandemic related data, security threats, and incidents. Augmented reality (AR) smart glasses can overlay digital data to the physical environment in a comprehensible manner. However, the real-life use situations are often complex and require fast knowledge acquisition from multiple sources. In this study we report results from an experiment with six subjects using an AR overlaid information interface coupled with traditional computer monitors. Our goal was to evaluate a multi tasking setup with traditional monitors and an AR headset where notifications from the new COVID-19 MISP instance were visualized. Our results indicate that better situational awareness does translate to increased task performance, but at the cost of a gender gap that requires further attention. © 2021 ACM.

Eyesoft case study: Use of Eyesoft's EMAA headset in my orthoptic practice: virtual reality at the service of orthoptics

Mrs C (30 years old) has multiple sclerosis with visual disorders, and has symptoms on screens. Due to the Covid-19 situation, Mrs C is reluctant to leave her home for her orthoptic treatment. What solution can we offer her?

Smart glasses evaluation during the COVID-19 pandemic: First-use on Neurointerventional procedures.

The COVID-19 pandemic is rapidly transforming the healthcare system, with telemedicine, or virtual health, being one of the key drivers of the change. Smart glasses have recently been introduced to the public and have generated interest with healthcare professionals as demonstrated by their early adoption in clinics and hospitals. Observing procedures is essential for young interventionalist-in-training, but sometimes it is difficult for them to be able to get the volume of exposure to procedures that they need. Here, we report the first experience using smart glasses for Neurointerventional procedures, highlighting potential benefits and limitations during different scenarios including invitro and life cases. This field is novel, innovative, and may have potential to improve both patient care and patient safety in other health care settings.

Telemedicine via Smart Glasses in Critical Care of the Neurosurgical Patient-COVID-19 Pandemic Preparedness and Response in Neurosurgery.

OBJECTIVE: The coronavirus disease 2019 pandemic poses major risks to health care workers in neurocritical care. Recommendations are in place to limit medical personnel attending to the neurosurgical patient as a protective measure and to conserve personal protective equipment. However, the complexity of the neurosurgical patient proves to be a challenge and an opportunity for innovation. The goal of our study was to determine if telemedicine delivered through smart glasses was feasible and effective in an alternative method of conducting ward round on neurocritical care patients during the pandemic. METHODS: A random pair of neurosurgery resident and specialist conducted consecutive virtual and physical ward rounds on neurocritical patients. A virtual ward round was first conducted remotely by a specialist who received real-time audiovisual information from a resident wearing smart glasses integrated with telemedicine. Subsequently, a physical ward round was performed together by the resident and specialist on the same patient. The management plans of both ward rounds were compared, and the intrarater reliability was measured. On study completion a qualitative survey was performed. RESULTS: Ten paired ward rounds were performed on 103 neurocritical care patients with excellent overall intrarater reliability. Nine out of 10 showed good to excellent internal consistency, and 1 showed acceptable internal consistency. Qualitative analysis indicated wide user acceptance and high satisfaction rate with the alternative method. CONCLUSIONS: Virtual ward rounds using telemedicine via smart glasses on neurosurgical patients in critical care were feasible, effective, and widely accepted as an alternative to physical ward rounds during the coronavirus disease 2019 pandemic.