Artificial Intelligence and Virtual Reality in Surgical Training: Enhancing Skill Acquisition and Procedural Proficiency | Chapter 12 | Medical Science: Recent Advances and Applications Vol. 9

 

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in surgical training has profoundly transformed medical education and technical skill acquisition. In this context, “skill” is defined as a goal-directed motor pattern executed with a specified level of quality and precision, distinct from general abilities, dexterity (purely motor control), and competence (the application of skills in real clinical scenarios). AI-powered simulations, coupled with VR-based training platforms, create highly immersive, interactive, and risk-free environments that allow surgical trainees to practice and refine complex procedures with enhanced precision. These systems simulate real-life anatomical variations and intraoperative scenarios, facilitating improved decision-making and procedural accuracy. Real-time feedback mechanisms, adaptive learning algorithms, and personalised skill enhancement pathways support the development of competence by aligning training with each trainee’s individual learning pace and style. Furthermore, AI enables objective performance tracking through quantitative metrics such as hand movement efficiency, error rates, and task completion times, which support competency-based assessments and predictive modelling of future performance. By overcoming traditional limitations—such as restricted access to cadavers or live patients, variable case exposure, and ethical constraints—AI and VR technologies ensure standardised, reproducible, and scalable surgical training. However, current VR systems remain limited by inadequate haptic feedback, which can restrict the full transfer of tactile skills to real surgical procedures. Examples of current real-world implementations include the da Vinci Surgical System for robot-assisted procedures and augmented 360° VR modules for neurosurgical training. Despite these advances, challenges remain, including high implementation costs, limited haptic feedback, validation requirements for AI algorithms, and ethical considerations such as data privacy and algorithmic bias. By addressing these challenges, AI and VR have the potential to standardise surgical education, improve trainee proficiency, and enhance patient safety. This review comprehensively examines the current advancements, pedagogical benefits, and inherent challenges of incorporating AI and VR into surgical education, emphasising their role in shaping the next generation of surgical professionals and enhancing overall patient safety.

Author(s) Details

 

Ravi Piraji Desai
Department of General Surgery, Banas Medical College and Research Institute, Palanpur, Gujarat, India.

 

Khushboo Patel
GMERS Medical College, Vadnagar, Gujarat, India.

 

Priyanka Paresh Ruparel
Narendra Modi Medical College, Ahmedabad, Gujarat, India.

 

Jaydeep Kagathara
Department of Physiology, Bhagyoday Medical College, Kadi, Gujarat, India.

 

Jitendra Patel
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v9/6043

Transforming STEM Education through Social-Emotional Learning and AI: Enhancing Engagement and Emotional Intelligence | Chapter 2 | Language, Literature and Education: Research Updates Vol. 7

 

Social-emotional learning (SEL) plays a pivotal role in fostering engaged learning by enhancing students' emotional intelligence, which is essential for deep conceptual understanding and effective collaboration in STEM education. SEL is known to improve student outcomes but is rarely combined with STEM. This review highlights the role of SEL in Promoting Engaged Learning and Deep Conceptual Understanding in STEM education. The incorporation of artificial intelligence (AI) alongside social-emotional learning (SEL) can enhance student engagement and foster a more inclusive learning environment in STEM education. Integrating AI with SEL strategies not only supports diverse learning needs but also promotes equity, allowing all students to thrive in STEM fields. Moreover, by leveraging AI tools that align with SEL principles, educators can create personalised learning experiences that cater to the emotional and academic needs of each student, thereby enhancing overall educational outcomes. This approach emphasises the importance of collaborative efforts among educators, policymakers, and technologists to ensure effective implementation and equitable access to AI-driven SEL strategies in STEM education. Addressing these challenges requires ongoing professional development for educators and a commitment to ethical practices that prioritise student well-being and equitable access to resources in AI-enhanced learning environments. This synergy of AI and SEL in STEM education underscores the need for comprehensive frameworks that prioritise both academic success and emotional well-being, ultimately preparing students for future challenges. Ultimately, a holistic approach that combines AI, SEL, and STEM education can significantly improve learning experiences and outcomes for all students, especially those from underrepresented backgrounds. This integration not only addresses the diverse needs of students but also helps bridge the achievement gaps prevalent in STEM education, especially for those with disabilities. This holistic strategy can empower students with disabilities, ensuring they receive the necessary support to excel in STEM fields and contribute to a more diverse workforce. Furthermore, it is essential to continuously evaluate the effectiveness of AI and SEL integration, adapting strategies based on feedback and emerging research to maximise their impact on student learning and inclusivity. This integration can lead to innovative teaching practices that not only enhance academic performance but also support the emotional development of students, fostering a more equitable educational landscape.

Author(s) Details

Bhavna Galhotra
Jagan Institute of Management Studies, Rohini, New Delhi, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/lleru/v7/5850

Transforming Nursing Education: The Role and Impact of Augmented and Virtual Reality Training | Chapter 5 | Medicine and Medical Research: New Perspectives Vol. 5

Augmented reality (AR) and virtual reality (VR) are technologies that enhance the perception of reality by superimposing computer-generated images, sounds, or other sensory enhancements on a user's real-world environment. AR and VR training in medical education is crucial as it allows students to practice complex procedures in a safe and controlled environment, improving their skills and confidence. AR and VR training in nursing education has shown promise in memory retention, independent learning, critical thinking, decision-making, skill development, better patient outcomes, and job satisfaction. However, challenges such as potential motion sickness, difficulty adapting to the virtual environment, and the need for additional training are still present. Nurse educators face challenges such as the cost of implementing the technology, the need for ongoing technical support, and the time required to develop and maintain high-quality virtual simulations. Despite these challenges, the use of AR and VR in nursing education shows great promise in enhancing learning experiences and improving patient outcomes.

 

Author (s) Details

Sakshi Chaturvedi
Faculty of Nursing, Banasthali Vidyapith, Rajasthan, India.

 

Chakrapani Chaturvedi
Faculty of Nursing, Banasthali Vidyapith, Rajasthan, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mmrnp/v5/2030

 

AI-Powered Simulations for Medical Training: A Game-Changer in Skill Development | Chapter 4 | Medical Science: Trends and Innovations Vol. 13

The integration of Artificial Intelligence (AI)-powered simulations in medical training has revolutionised skill development by providing an interactive, immersive, and adaptive learning environment. These simulations leverage machine learning, virtual reality (VR), augmented reality (AR), and deep learning algorithms to create realistic clinical scenarios, enabling medical professionals to practice decision-making, procedural techniques, and diagnostic skills in a risk-free setting. AI-driven simulations enhance competency-based education, personalised learning, and real-time feedback, ensuring improved clinical proficiency and patient safety. This book chapter explores the role of AI-powered simulations in medical education, their impact on cognitive and psychomotor skill acquisition, and the challenges associated with their adoption. The findings suggest that AI-based simulations are a game-changer in medical training, offering scalable, cost-effective, and high-fidelity learning experiences that bridge the gap between theoretical knowledge and real-world clinical practice.

 

Author (s) Details

 

Latif Bagwan
Department of General Surgery, Nootan Medical College and Research Centre, Visnagar, Gujarat, India.

 

Rajesh Gouri
Department of General Surgery, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India.

 

Avani V Mendpara
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Azmat Kamal Ansari
Department of Biochemistry, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.

 

Brijesh R. Koyani
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Please see the book here:-  https://doi.org/10.9734/bpi/msti/v13/5223

Advanced Digital Technologies and their Implications in Oral Surgery: Latest Trends and Innovations | Chapter 4 | Medical Science: Recent Advances and Applications Vol. 1

Aim: This chapter aims to explore the integration of digital technologies in oral surgery, examining their impact on diagnosis, treatment planning, surgical execution, and overall patient experience. It focuses on the adoption of intraoral scanners, 3D imaging technologies, and computer-aided design and manufacturing systems, with a specific look at how these tools are transforming clinical workflows and surgical outcomes.

Methodology: A comprehensive review of current literature and case reports was conducted to evaluate the clinical applications of digital tools in oral surgery. This includes the use of intraoral scanners, cone-beam computed tomography (CBCT), 3D virtual surgical planning, augmented reality, and artificial intelligence. Additionally, the development and use of 3D-printed surgical guides and custom implants were explored to assess their efficacy in improving surgical precision and reducing complications.

Results: The integration of digital technologies into oral surgery has resulted in significant advancements in the accuracy and efficiency of procedures. The use of intraoral scanners and CBCT allows for the creation of highly detailed 3D virtual models of a patient's oral anatomy, enabling precise pre-operative planning. Virtual simulations of surgical procedures help identify potential risks and improve decision-making. The employment of 3D-printed surgical guides has enhanced surgical precision, minimizing tissue damage. Moreover, augmented reality tools have facilitated real-time visualization during surgery, further improving accuracy. These advancements have been associated with improved patient outcomes, including reduced post-operative pain, swelling, and recovery time due to the shift toward minimally invasive techniques.

Conclusions: Digital technologies have significantly transformed oral surgery, enhancing both the precision of surgical procedures and the overall patient experience. The integration of these technologies offers numerous advantages, including improved diagnosis, customized surgical planning, and the ability to perform minimally invasive surgeries. However, the adoption of these innovations also presents challenges, including the need for specialized training and the high costs associated with new technologies. Continued advancements in artificial intelligence, robotics, and augmented reality hold promise for further elevating the capabilities of oral surgery.

 

Author (s) Details

 

Ghada Bouslama
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

Hanen Boukhris
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

Hajer Zidani
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Kawther Bel Haj Salah
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Lamia Walha
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Souha BenYoussef
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v1/4917

Augmented and Virtual Reality in Medical Treatment: Machine Learning's Transformative Impact | Chapter 3 | Science and Technology: Developments and Applications Vol. 1

This chapter explores the transformative role of machine learning techniques in advancing medical treatment assistance, particularly through the integration of augmented reality (AR) and virtual reality (VR) technologies. By bridging the domains of artificial intelligence, immersive technologies, and healthcare, this study explores how the synergy between machine learning, AR, and VR has the potential to redefine medical diagnostics, surgical precision, patient care, and professional medical training.

The chapter presents a comprehensive analysis of recent technological advancements, emphasizing the application of machine learning algorithms for real-time data analysis, predictive modeling, and decision-making in AR/VR-enabled environments. It highlights the role of AR in overlaying critical diagnostic information and VR in simulating realistic scenarios for training and treatment planning. Through case studies and emerging trends, the research showcases the effectiveness of these combined technologies in achieving more accurate diagnoses, facilitating minimally invasive surgeries, optimizing patient rehabilitation, and enhancing the experiential learning of medical professionals.

Additionally, this study discusses the implications of integrating machine learning in AR/VR systems, such as improved personalization of patient care, reduced medical errors, and the development of intelligent, adaptive healthcare tools. By addressing the challenges and opportunities in this interdisciplinary field, the chapter aims to underscore the pivotal contributions of machine learning-powered AR and VR technologies in revolutionizing modern healthcare practices and shaping the future of medical treatment assistance.

 

Author (s) Details

 

Sanjeev Gour
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Manish Joshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Hemant Pal
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

A.R. Qureshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v1/3688

The Prospect of Artificial Intelligence in Dentistry | Chapter 13 | Medical Research and Its Applications Vol. 6

 Artificial intelligence (AI) is one of the fields of technology that is expanding tremendously in a short span of time. AI in the healthcare sector is evolving and has a promising future. Key applications in dentistry include patient care, diagnostics and treatment guiding, and administrative tasks. As a result, this AI system enables dentists to become acquainted with this cutting-edge technology, as dentistry will soon combine artificial intelligence and dentistry in an incredible way. The need for accurate patient records, and dependable robotic surgery treatment has increased the use of these software technologies in helping dentists diagnose and treat patients in a way that is both satisfying and practical. This chapter aims to highlight the role of artificial intelligence in dentistry, yet technical advancements like this are still in their early stages.

 

Author(s)details:-

 

Madhulika Banerjee
Department of Periodontics, Vishnu Dental College & Hospital, Bhimavaram, Andhra Pradesh- 534202, India.

 

Meetika
Baba Farid University of Health Sciences, Faridkot, India.

 

Rajat Sharma
Department of Orthodontics, Maharaja Ganga Singh Dental College & Research Centre, Sriganganagar, Rajasthan, India.

 

Deepshikha Gahlot
Maharaja Ganga Singh Dental College & Research Centre, Sriganganagar, Rajasthan, India.

 

Ramanjeet Kaur Grover
Department of Prosthodontics, Maharaja Ganga Singh Dental College & Research Centre, Sriganganagar, Rajasthan, India.

 

Komal Sihani
Department of Periodontics, Triveni Institute of Dental Sciences Hospital & Research Centre, Bilaspur, Bodhri, India.

 

Please See the book here :- https://doi.org/10.9734/bpi/mria/v6/762

Guided by Augmented Reality: The Results of Multiple Experiments Conducted to Enhance the Visitor Experience at a Culturally Historic Site | Chapter 2 | Science and Technology - Recent Updates and Future Prospects Vol. 2

 

In recent years, museums and historic sites have expanded their reach beyond traditional audiences by embracing innovative digital display technologies. Among these technologies, virtual, mixed, and augmented reality (AR) have gained prominence in society. These “virtual history” exhibits aim to bring historical narratives to life, allowing visitors to engage with the past in novel ways. However, the successful implementation of AR in cultural heritage contexts requires careful consideration of usability factors and alignment with media creators’ intended meanings.

Our research investigates the use of various AR technologies within cultural heritage applications. Specifically, we conducted multiple experiments at a historic fort in upstate New York, evaluating the impact of digital display technology on-site visitors. By analyzing user experiences, we aimed to understand how AR enhances cultural exploration and engagement.

Key areas of focus include:

•          Usability Factors: We examined how visitors interacted with AR applications, considering ease of use, navigation, and overall satisfaction.

•          Human-Computer Interaction: Understanding how users engage with AR interfaces and interpret historical content.

•          Evaluation: Assessing the effectiveness of AR displays in conveying cultural heritage information.

Our findings contribute to the ongoing discourse on leveraging AR for cultural preservation and education. By bridging the gap between physical artifacts and virtual imagery, AR can enrich visitors’ understanding of historical contexts. As museums and heritage sites continue to embrace digital technologies, thoughtful design and evaluation are crucial for creating meaningful and immersive experiences.

In summary, this research sheds light on the potential of AR to augment cultural exploration, enhance visitor engagement, and breathe new life into historical narratives. By blending technology and heritage, we pave the way for a more dynamic and accessible appreciation of our shared past.

 

Author(s)details:-

 

Dr. Damian Schofield
Department of Computer Science, State University of New York, Oswego, New York, USA.

 

Paul Lear
Fort Ontario State Historic Site, Oswego, New York, USA.

 

Daniel Hufnal
Department of Computer Science, State University of New York, Oswego, New York, USA.

 

Theodore Johnson
Department of Computer Science, State University of New York, Oswego, New York, USA.

 

Sarah Colletta
Department of Computer Science, State University of New York, Oswego, New York, USA.

 

Pranay Chapagain
Department of Computer Science, State University of New York, Oswego, New York, USA.

 

Please See the book here :- https://doi.org/10.9734/bpi/strufp/v2/8585E

Synthesizing Evidence on the Use of Virtual Reality and Augmented Reality in Medical Education and Health Care Practice: A Scoping Review | Chapter 11 | Recent Updates in Disease and Health Research Vol. 3

 Augmented reality (AR) is a cutting-edge technology that merges digital three-dimensional representations with physical inputs. Accessible via portable devices, it provides an immersive setting for learning. Augmented reality has many potential uses in many fields, such as the arts, healthcare, retail, marketing, education, the military, tourism, travel, architecture, engineering, and manufacturing. Important in light of the COVID-19 epidemic and the trend towards online education, it excels in remote and interactive learning. The systematic review methodology used to source articles for inclusion in the study. The effects of AR on medical students' experiences and learning are investigated in this study. Among the goals of AR-based learning that they cover is the need to simplify otherwise difficult concepts. Medical students' knowledge, abilities, and social relationships may all be improved with the use of augmented reality, according to the experts. They shows certain augmented reality in medical training programmes such as HoloPatient, OculAR SIM, and HoloHuman. This Book chapter provides an insightful exploration of the application of Virtual Reality (VR) and Augmented Reality (AR) in healthcare.

Author(s) Details:

Rajesh Gouri,
Department of General Surgery, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India.

Punit Patel,
Department of Community Medicine, Banas Medical College and Research Institute, Palanpur, Gujarat, India.

Bhavikkumar Ishvarbhai Pateliya,
Department of General Surgery, Dr M K Shah Medical College and Research Centre, Ahmedabad, Gujarat, India.

Ashish Kharadi,
Department of General Surgery, GMERS Medical College, Godhra, Gujarat, India.

Manish Nagendra,
Department of Microbiology, NSCB Medical College, Jabalpur, M.P, India.

R. Pavani,
Department of Physiology, Government Medical College, Adoni, Andhra Pradesh, India.

Jyothi Vybhavi V S,
Department of Physiology, Sri Chamundeswari Medical College Hospital & Research Institute, Channapatna, Karnataka, India.

Aniruddha Jibhkate,
Department of Physiology, Datta Meghe Medical College, Nagpur, Maharashtra, India.

Jitendra Patel,
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

Please see the link here: https://stm.bookpi.org/RUDHR-V3/article/view/13713

Unveilling the Application, Advantage and Limitation of AR, VR & MR in Immersive Learning Technologies in AEC | Chapter 10 | Contemporary Perspective on Science, Technology and Research Vol. 2

Riveting technologies are now achieved in construction in India. Immersive science is an integration of virtual content accompanying the physical surroundings in a way that allows the consumer to engage naturally accompanying the blended reality. In an hypnotic experience, the user accepts in essence elements of their environment as few the whole, conceivably becoming less conscious that those details are not part of physical truth. In this paper, some key conditions /features such as requests, uses, benefits, challenges, limitations, education, and future facets of AR/VR/MR/and XR have been highlighted counterpart with the suggestion of each case in the construction industry, explanation management, and construction project. The benefits and disadvantages, impact, and purpose of each technology are widespread in this article each technology. Emphasis is likely to introducing and containing each technology in tertiary instruction and curricula of undergraduate and graduate architectural engineering and building management. Adoption of these electronics in construction leads to improvement in creation productivity, adeptness, low cost, and time, that is, in turn, beneficial to the proprietor, contractor, builders, and colleagues on the implication of these immersive electronics.

Author(s) Details:

Ar. Gayatri Mahajan,
Symbiosis School of Architecture, Urban Development and Planning, Pune, India.

Kaustubh Kinge,
Symbiosis School of Architecture, Urban Development and Planning, Pune, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V2/article/view/12907

An Applied Study of the Impact of Augmented Reality on Museum Experience: A Focus on Museums in Namibia | Chapter 9 | Research Highlights in Science and Technology Vol. 8

 The study illustrates Augmented Reality usage for reimaging the place for viewing artifacts or experience in Namibia. A special focus act the National Museum of Namibia as a reference point and framework to implement the proposed improved reality solution. The purpose concerning this proposal search out demonstrate how Augmented Reality can embellish the museum knowledge by providing complimentary able to be seen with eyes information to the exhibits. This is to increase the place for viewing artifacts or visiting interest, especially with young people. An connected to the internet survey was done to understand the society's personal knowledge when visiting a museum the traditional hole or door in vessel order to understand what betterings they would like to see in museums for a better occurrence. 64 participants took part in the study. This survey hold up implementing a operating system-based resolution, focusing on the target consumers. Our results showed that Augmented Reality improves the museum experience, information, and learning, in addition to an emotional network of the museum visitor when utilizing the augmented phenomenon mobile use, compared to the traditional place for viewing artifacts or experience. From an growth perspective, this study emphasized the need to acknowledge implementing a related solution on additional mobile app platforms, as iOS was secondhand as the benchmark for this study.

Author(s) Details:

Tatenda Audrey Chanakira,
Department of Computing, Mathematics and Statistical Sciences, University of Namibia, Namibia.

Ari Happonen,
Software Engineering Department, LUT University, Finland.

Victoria Hasheela,
Department of Computing, Mathematics and Statistical Sciences, University of Namibia, Namibia.

Please see the link here: https://stm.bookpi.org/RHST-V8/article/view/11545

Lightweight Method for Two-Dimensional Object Registration for Augmented Reality| Chapter 5 | Current Overview on Science and Technology Research Vol. 10

 The purpose concerning this study is to develop an household guidance plan based on augmented real world (AR) that superimposes annotations on an indoor environment (such as, wall surfaces) and everything on devices with restricted computing power to a degree smartphones. Such a method demands a simple algorithm for the object enrollment. For the purpose, this paper proposes a two-dimensional (2D) object enrollment method established perspective distortion adjustment using vanishing points in the scene and a constant vanishing point discovery method. Current vanishing point discovery methods have the question of slight drift of the vanishing point in the videos despite claiming a fixed camera position. The projected method has resolved the problem by employing a burden particle filtering pattern. Recent approaches often engage deep neural networks (DNNs) for the registration and the fixed vanishing point detection, still DNNs require rich possessions for computing such as Graphics Processing Unit (GPU). Since the projected method requires merely two vanishing points for the registration, the plan can be said a inconsequential method. This paper shows that the proposed burden particle permeating method suppresses the where earth meets sky drift better than the conventional moving average means, and that it allows registration of  objects based on the design.

Author(s) Details:

Kazumoto Tanaka,
Kindai University, Japan.

Please see the link here: https://stm.bookpi.org/COSTR-V10/article/view/8905

Training Application for Industries by Means of Virtual Reality Technology: A Recent Study | Chapter 8 | Current Topics on Mathematics and Computer Science Vol. 10

 Augmented and virtual reality is one of the pillars of Industry 4.0. It can increase real-time perception of industrial operations, among other things. The goal of this study is to establish a starting point for expanding the use of virtual reality headsets (e.g., HTC Vive, Oculus Rift, etc.) by combining them into a single application called Virtual and Augmented Reality with Gesture Interaction. The Leap Motion controller is used in this project. This controller has an infrared depth camera that can be used as an input video feed for Oculus Rift stereoscopic viewing while also projecting the raw images of your hands into a 3D mesh that can interact with other items in real-world space (in our case a 3D model of a complex product). The twin Leap Motion cameras travel through a section of the mesh, ensuring that each camera has a different view of the hands, allowing you to perceive the true depth. We can interact with the 3D model and demonstrate how it works. We show a portion of a VR industrial application in a typical industry (door lock production), which may also be utilised for research, training, and advertising.

 

Author(s) Details

Dr. Mihalache Ghinea
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independenţei, 313, sector 6, 060042, Bucharest, Romania

Gicu Calin Deac
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independentei, 313, sector 6, 060042, Bucharest, Romania

Crina Narcisa Georgescu
Department of Machines and Manufacturing Systems University Politehnica of Bucharest Splaiul Independentei, 313, sector 6, 060042, Bucharest, Romania

View Book :- https://stm.bookpi.org/CTMCS-V10/article/view/3753

Studies on Magic Mirror Using Augmented Reality: Review | chapter 10 | New Approaches in Engineering Research Vol. 3

 A magic mirror paradigm is an augmented reality (AR) system in which a camera and display device act as a mirror, allowing users to see a reflection of themselves as well as virtual objects. A camera is included in the proposed system to capture the viewer's facial expression. The system can determine the viewer's emotion by analyzing their expressions. If the viewer is experiencing negative emotions, the system will speak positive sentences and play the viewer's favorite music to help him or her feel better. The proposed system can be used as a calendar to remind you of upcoming events. This project makes use of hardware such as a USB Web Cam (8 MP or higher) and a computer system. The goal of this project is to recognize a person's mood and support them as a digital friend. This project provides a dependable friend who will motivate you and keep you happy at all times. Individual emotions toward a person are revealed by social signals such as facial expressions, vocal intonations and outbursts, body gestures and postures, and so on. However, in order to simplify the problem, we limit the scope of the research to facial expressions (sad, angry, happy, and surprised). Optical flow, hidden Markov model, neural network processing, and active appearance model are some of the methods used to achieve facial expression. The Face Reader, for example, recognizes facial expressions by distinguishing six basic emotions (happy, angry, sad, surprised, scared, disgusted), as well as neutral. Optical flow, hidden Markov model, neural network processing, and active appearance model are used to inspire positive words, alleviate negative emotions, and remind people about their obligations.

Author (s) Details

Mrs. Ruchira Kurve Dabhade
Department of Computer Science & Engineering, G. H. R. C. E., Nagpur, India.

View Book :-  https://stm.bookpi.org/NAER-V3/article/view/1857

Deep-cARe System: Projection-based Augmented Reality with Deep Learning for Elderly Healthcare in Indoor | Chapter 8 | New Ideas Concerning Science and Technology Vol. 2

 As societies age, the development of advanced and ubiquitous intelligent technologies that provide medical support and enhance the health of the elderly has become increasingly important. In their everyday lives, elderly people also encounter episodes of pain, including the loss of cognitive and memory skills. We propose a projection-based augmented reality (PAR) device fitted with a deep-learning module to provide auxiliary functions and ensure the safety of the elderly in everyday living situations. We suggest a three-dimensional space reconstruction of an omnipresent PAR space for the elderly in this review. To lay the foundation for contextual knowledge, we propose the application of a deep-learning module. Performance tests were carried out on the PAR technology to graft the deep learning structure (pose estimation, face recognition, and object detection) through the proposed hardware to check the probability of execution, real-time execution, and applicability. Furthermore, according to the scenarios, some user interfaces (UIs) were introduced regardless of the distance between users and the proposed system. In this research, we built a bidirectional PAR system that provides the relevant information instead of a unidirectional PAR system for simple information provision by understanding the user environment and action intentions. By combining PAR and deep-learning architectures, we present a discussion of the possibility of care systems for the elderly.

Author(s) Details

Yoon Jung Park
Media System Lab, Yonsei University, South Korea.

Hyochoel Ro
Media System Lab, Yonsei University, South Korea.

Nam Kyu Lee
College of Computer Science & Software, Chung-Ang University, South Korea.

Tack-Don Han
Media System Lab, Yonsei University, South Korea.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/320

Reinventing the Contours of Media Ethics in the Neo-liberal Culturescape | Chapter 11 |Recent Advances in Science and Technology Research Vol. 1

Infotainment, videos, audios, ideas, news aggregating sites etc. saturate the new mediascape. Today more choice, less diversity, more information, less knowledge and more gratification with less satisfaction rule the roost in media. Truly, mass media create big hullabaloo and saturate our mornings and evenings with its sights and sounds. This brings forth negative repercussions on audience behaviour. True ideals of journalism have been in shambles. Sensationalism and crass commercialization have become the order of the day. Augmented Reality with its underpinnings has revolutionized the media industry. The system has become a whole caboodle of conundrum with the arrival of social media. People on the other hand have become more and more dependent on all types of media. This dependency hinges on the division of labour and increasing role specialization. People’s affinity towards media is more during social upheavals and turns of fortune. But press as the Fourth Estate would help the nation builders to make India a modern, powerful, industrial state. Only then can India garner support and respect from the world community. It is high time India waged a war in the cultural realm of the country. A value-oriented media fraternity is the need of the hour rather than a market-oriented media culture. The whole media edifice has to be fortified by framing a concrete code of ethics for media practitioners. My paper unravels the ethical dilemma faced by media personnel and suggests an ideal modus operandi for journalists in a highly neo-liberalised culturescape.

Author(s) Details

Simi Varghese
Department of Communication and Journalism, Prajyoti Niketan College, Pudukad, Thrissur, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/175