{"title":"Demystifying Augmented Reality (AR) in Marketing From the E-Commerce Perspective","authors":"Farzad Sabetzadeh, Yusong Wang","doi":"10.4018/978-1-7998-8790-4.ch010","DOIUrl":"https://doi.org/10.4018/978-1-7998-8790-4.ch010","url":null,"abstract":"Augmented reality (AR) technology has been widely used in various business applications in the past five years. Since the beginning of 2020, with the COVID-19 pandemic and its impact on various industries, AR has become one of the technologies that have significantly reduced physical interactions between buyers and sellers. This chapter reflects its finding in fours areas: 1) eCommerce mobile AR apps can allow customers to better interact with products virtually. 2) AR facilitates customer shopping journey in three stages of purchasing, namely before-purchase, purchase, and after-purchase stages. 3) Design and develop mobile AR apps with two features of virtuality and interactivity to the extent that enables customers to favor AR apps to the offline shopping experience in a sustainable trend. 4) Online retailers can utilize their AR apps to predict target customers' preferences, hence giving them effective promotions to motivate them to buy their preferred products online.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Visualisation Analysis Using the VOSviewer of Literature on Virtual Reality Technology Application in Healthcare","authors":"K. Chau, Xiaoxiao Liu, Hoi Sze Chan, Yan Wan","doi":"10.4018/978-1-7998-8790-4.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-8790-4.ch001","url":null,"abstract":"Current virtual reality technology applications in healthcare perform potential abilities in clinical and nursing practices. This review aims to analyse the use and the development direction of virtual reality technology in the whole healthcare field. Researchers searched (n = 5,209) English-language literature related to the application of virtual reality in healthcare on the basis of the Web of Science online database and used VOSviewer 1.6.17 to visualise and analyse the time trend co-authorship, co-occurrence keywords, and country distribution of the literature. Furthermore, they found that the application of virtual reality technology in healthcare shows an overall fragmentation and a relatively concentrated trend, focusing on medical education, rehabilitation therapy, and psychological interventions. Augmented reality and COVID-19 are present research hotspots.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review on Sleep Disorder Analysis and Applications Based on Artificial Intelligence","authors":"A. Mathew, V. S.","doi":"10.4018/978-1-7998-8018-9.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-8018-9.ch002","url":null,"abstract":"The recent developments in multi-modular sensor technology for analyzing physiological and psychological activities have brought a breakthrough in the biomedical engineering thereby aiding the real-time monitoring of various vital signals. The monitoring of circadian rhythms and EEG signals keeps a proper observation on sleep and analyzes various sleep disorders. The sleep patterns related to disease and wellness applications can be analyzed with the help of multi-sensor-generated data. Several challenges such as performance evaluation, data storage, processing and integration, modeling, and interpretation as well as curation are to be overcome in this field for expansion of this technology in the future. The digitalization of sleep is an interdisciplinary field of research incorporating neuroscience, bioengineering, epidemiology, clinical medicine, computer science, and electrical engineering. This chapter discusses various sleep disorders, AI, analysis, and applications available. Finally, the challenges and future scope are also discussed followed by the conclusion.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emerging Trends in the Diagnosis and Intervention of Neurodevelopmental Disorders","authors":"","doi":"10.4018/978-1-5225-7004-2","DOIUrl":"https://doi.org/10.4018/978-1-5225-7004-2","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121800360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U. Kumar, Esha Tripathi, S. Tripathi, Kapil Kumar Gupta
{"title":"Deep Learning for Healthcare Biometrics","authors":"U. Kumar, Esha Tripathi, S. Tripathi, Kapil Kumar Gupta","doi":"10.4018/978-1-5225-7525-2.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-7525-2.CH004","url":null,"abstract":"Mistakes in healthcare systems such as a mix-up of records or confusing medical charts lead to the wrong medications to patients. Major tasks such as administrative costs, legal expenses, and liabilities incur high cost to the healthcare industry using traditional, inaccurate patient identification processes. This can be resolved by biometric technology. Only physiological features can be used for patient identification to eliminate need of SSN, insurance card, or date of birth during registration. A biometric template can be directly mapped to an electronic health record to accurately authenticate individuals on subsequent visits. This technology ensures no medical records can be mimicked and the right care is provided to the right patient. Deep learning provides a platform to solve identification and diagnostic problems arising in medicine and can be used in healthcare biometrics to analyze clinical parameters and their combinations for disease prognosis (e.g., prediction of disease, extracting medical knowledge, therapy planning, and support).","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132128170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing the Investigation and Treatment of Sleep Disorders Using AI","authors":"","doi":"10.4018/978-1-7998-8018-9","DOIUrl":"https://doi.org/10.4018/978-1-7998-8018-9","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134334235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anatomy-Based Human Modeling for Virtual Reality (VR)","authors":"Yuk-Ming Tang, Hoi Sze Chan, Wei-Ting Kuo","doi":"10.4018/978-1-7998-8790-4.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-8790-4.ch007","url":null,"abstract":"The authors proposed an anatomy-based methodology for human modeling to enhance the visual realism of human modeling by using the boundary element method (BEM) and axial deformation approach. To model muscle deformation, a BEM with linear boundary elements was used. The significance of tendons in determining skin layer deformation is also discussed. The axial deformation technique is used to allow for quick deformation. To control tendon deformation, the curve of the axial curve is changed. Each vertex of the skin layer is linked to the muscles, tendons, and skeletons beneath it. The skin layer deforms in response to changes in the underlying muscle, tendon, and skeleton layers. This chapter made use of human foot modeling as the case study. Results have illustrated that the visual realism of human models can be enhanced by considering the changes of tendons in the deformation of the skin layer. The lower computational complexity and enhanced visual realism of the proposed approaches can be applied in human modelling for virtual reality (VR) applications.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114537291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Rajasekaran, K. Govinda, Jolly Masih, M. Sruthi
{"title":"Health Monitoring System for Individuals Using Internet of Things","authors":"R. Rajasekaran, K. Govinda, Jolly Masih, M. Sruthi","doi":"10.4018/978-1-7998-1090-2.ch009","DOIUrl":"https://doi.org/10.4018/978-1-7998-1090-2.ch009","url":null,"abstract":"Most of the elderly citizens are either living by themselves or locked up at home when the rest of the family members go to work. Health of the elderly deteriorates gradually with age, but people fail to notice these changes in everyday life. The elderly are at risk of not receiving attention immediately in the case of emergencies. Internet of things can be used to alert family members and health personnel immediately when an abnormality in the elderly person's health is sensed to prevent discovery of illness at an irrecoverable stage. Internet of things can monitor parameters like heart pulse rate, body temperature, body movement, position, and location, and raise an alert to take immediate preventive actions. Making this system portable is one of the most necessary requirements because it will be worn by the user. That introduces various conditions in itself. For instance, the system should not disturb the patient or be heavy.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wireless Body Area Networks","authors":"M. Sridhar, N. Priya, A. Muniyappan","doi":"10.4018/978-1-7998-1090-2.ch004","DOIUrl":"https://doi.org/10.4018/978-1-7998-1090-2.ch004","url":null,"abstract":"Wireless body area networks (WBANs) are valuable solutions for healthcare lifestyle monitoring applications which allow the continuous screening of health data and constant access to patients despite their current locality or activity, with a fraction of the cost of regular face-to-face examination. In such environments, entities are equipped with intelligence-embedded devices to collect data for providing pervasive information. WBANs can serve as passing reference for huge audience instance systems for architects, practitioners, developers, medical engineers, etc. In particular for the medical field, devices fixed inside the human body measure and transfer real-time data to the caregiver through the communication network. Many technologies have showed their efficiency in secondary WBANs application such as biofeedback, remote sensing, and QoS requirement. This chapter highlights the major applications, design, and security of WBAN.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116844975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Exploratory Analysis and Predictive SIR Model for the Early Onset of COVID-19 in Tamil Nadu, India","authors":"Chandan Tanvi Mandapati","doi":"10.4018/978-1-7998-7188-0.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-7188-0.ch002","url":null,"abstract":"The growth of COVID-19 (SARS-CoV-2) in India has been rampant. Despite having a relatively small value of R0, the spread of disease increases exponentially every consecutive day. This chapter aims to analyze and conduct a concise study for the southern state of Tamil Nadu in India and build non-linear predictive models that evaluate the transmission of coronavirus amongst locals. A logistic regression and SIR model are deployed to understand the potential spread of disease. Through descriptive analysis on theoretical segmented portions, districts in Tamil Nadu with a higher number of confirmed cases are identified. Computation of crude mortality rate, infection fatality rate, predictive models, illustrations, and their results are discussed analytically.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116849414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}