Augmented Human Research最新文献_第5页

Augmenting Team Games With a Ball to Promote Cooperative Play 增加有球的团队游戏，促进合作

Augmented Human Research Pub Date : 2021-04-07 DOI: 10.1007/s41133-021-00045-3

Kadri Rebane, Yo Inoue, David Hörnmark, Ryota Shijo, Sho Sakurai, Koichi Hirota, Takuya Nojima

{"title":"Augmenting Team Games With a Ball to Promote Cooperative Play","authors":"Kadri Rebane, Yo Inoue, David Hörnmark, Ryota Shijo, Sho Sakurai, Koichi Hirota, Takuya Nojima","doi":"10.1007/s41133-021-00045-3","DOIUrl":"10.1007/s41133-021-00045-3","url":null,"abstract":"<div><p>Team games with a ball provide a great workout and are social activities, making them a great way to spend free time. Unfortunately, it can be challenging to play when the participants' level is not more or less equal. We use digital augmentation technology to promote collaboration during the game and soften the focus that is usually put exclusively on the physical skill levels. Using computer game elements (attack points, defense points, life points) enables us to create a unique mixed reality playing experience that is approachable and enjoyable to various people who have different playing skills. Therefore, it works for promoting physical activity among such players. When designing a fast-paced game with a real ball, taking place in the physical world and the virtual world, special considerations on tracking the game progress, information display, and player experience have to be taken. We describe the development of the augmented dodgeball game, which includes the systems required to play the game and player status display systems. We also present a user study, which consists of questionnaires, interviews, and player-observations. We found that players had a positive experience playing the developed game; they liked the game concept and saw it as a fun activity to do with friends. The players were also communicating and collaborating more during the augmented game. This research contributes to providing design insights specific to designing for augmented reality team games with the ball.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-021-00045-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50022446","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}

引用次数: 0

Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19 基于多层神经网络的新型冠状病毒相关风险因子计算

Augmented Human Research Pub Date : 2021-03-09 DOI: 10.1007/s41133-021-00044-4

Anshu Chaudhary, Manisha Sharma

引用次数: 2

Exploiting the Capabilities of Blockchain and Machine Learning in Education 利用b区块链和机器学习在教育中的能力

Augmented Human Research Pub Date : 2021-01-16 DOI: 10.1007/s41133-020-00039-7

Dhruvil Shah, Devarsh Patel, Jainish Adesara, Pruthvi Hingu, Manan Shah

{"title":"Exploiting the Capabilities of Blockchain and Machine Learning in Education","authors":"Dhruvil Shah, Devarsh Patel, Jainish Adesara, Pruthvi Hingu, Manan Shah","doi":"10.1007/s41133-020-00039-7","DOIUrl":"10.1007/s41133-020-00039-7","url":null,"abstract":"<div><p>Today, technology has advanced tremendously that it is now being incorporated into the education sector for academic enhancement. Certain technologies like Artificial Intelligence, Machine Learning, Blockchain, Big data, Internet of Things, Augmented Reality, Cloud computing, etcetera changed the conventional education system making it a better platform for the growth of students. In this paper, we dissect the importance of two blooming technologies, Blockchain and Machine Learning, in the education field. Blockchain technology, having data immutability as one of its advantages, has been used in miscellaneous fields for security aspects. It can be used to securely store the degree or other achievement certificates. Such information would be added by the college or university to the blockchain, which can be accessed or shared by the student through the online CV with employers. This approach is secure as there is no need to worry about changes to the institution or the loss of data. Also, Machine learning with its fully capable learning algorithms is the breakthrough technology for future perspectives because it can accurately predict the future based on experience; hence, the incorporation of this technology in the educational field helps the student to make a strategy with the help of various algorithms. By doing such things, better outcomes should be made from present conditions. When the benefits of blockchain are combined with Machine Learning algorithms, we can get certain predictions beforehand and we can securely store the actual results, which is the proposed idea of this study. In this study, the emphasis is made on the impacts created by recent technologies in the educational field and review of various systems proposed by blockchain and machine learning technology and assumption is made for combining two technologies for the betterment of the educational field.\u0000</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-020-00039-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50032095","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}

引用次数: 47

Dual-Tree Sparse Decomposition of DWT Filters for ECG Signal Compression and HRV Analysis 双树稀疏分解DWT滤波器在心电信号压缩和HRV分析中的应用

Augmented Human Research Pub Date : 2021-01-12 DOI: 10.1007/s41133-020-00041-z

Ranjeet Kumar, A. R. Verma, Bhumika Gupta, Sandeep Kumar

引用次数: 5

Development of Robot-Based Upper Limb Devices for Rehabilitation Purposes: a Systematic Review 基于机器人的上肢康复装置的发展:系统综述

Augmented Human Research Pub Date : 2021-01-12 DOI: 10.1007/s41133-020-00043-x

Jyotindra Narayan, Bhaben Kalita, Santosha Kumar Dwivedy

{"title":"Development of Robot-Based Upper Limb Devices for Rehabilitation Purposes: a Systematic Review","authors":"Jyotindra Narayan, Bhaben Kalita, Santosha Kumar Dwivedy","doi":"10.1007/s41133-020-00043-x","DOIUrl":"10.1007/s41133-020-00043-x","url":null,"abstract":"<div><p>As the number of patients with impaired nerves is continuously increasing day by day around the globe, rehabilitation training by the physical therapist is more time-consuming and less effective. From last two decades, many robot-based upper limb rehabilitation devices have been developed for physical therapy of the human upper limb by employing state-of-the-art technologies. Hence, there is a need for a comprehensive systematic analysis to understand the basic principle and working of rehabilitation devices. The devices are primarily classified as exoskeleton- and end-effector-oriented robotic devices depending on the alignment of the upper limb joints. The objective of the review is to investigate the functionality developments of the robot-based upper limb rehabilitation devices. In this work, a systematic analysis is being carried out depending on the factors such as compatible designs, control aspects, training modes, actuation methods, and clinical developments of the devices. Furthermore, a tabular comparison is presented for the above factors considering different types of robotic devices and the status of the developments. Finally, the scope of improvement is discussed by minimizing the potential gaps between design and prototyping establishments. This review will help the therapists, researchers, and manufacturers to augment the safety and cost-effective concerns for patients with upper limb impairments.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-020-00043-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50021498","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}

引用次数: 19

The Effect of Movie Frame Rate on Viewer Preference: An Eye Tracking Study 电影帧率对观众偏好的影响:一项眼动追踪研究

Augmented Human Research Pub Date : 2021-01-12 DOI: 10.1007/s41133-020-00040-0

Farid Pazhoohi, Alan Kingstone

引用次数: 1

Deep Learning-Based Binary Classification of ADHD Using Resting State MR Images 基于静息状态MR图像的深度学习ADHD二值分类

Augmented Human Research Pub Date : 2021-01-12 DOI: 10.1007/s41133-020-00042-y

Vikas Khullar, Karuna Salgotra, Harjit Pal Singh, Davinder Pal Sharma

{"title":"Deep Learning-Based Binary Classification of ADHD Using Resting State MR Images","authors":"Vikas Khullar, Karuna Salgotra, Harjit Pal Singh, Davinder Pal Sharma","doi":"10.1007/s41133-020-00042-y","DOIUrl":"10.1007/s41133-020-00042-y","url":null,"abstract":"<div><p>Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neuropsychiatric disorders in adolescence and adult, but the origin of this disorder is still under research. The focus of this paper is on classification of resting state functional magnetic resonance imaging (rs-fMRI) of ADHD and healthy controls using deep learning techniques. ADHD-200 dataset includes resting state rs-fMRI images of ADHD, and typically developing controls and deep learning-based techniques such as 2-dimensional convolutional neural network (CNN) algorithm and hybrid 2-dimensional convolutional neural network–long short-term memory (2D CNN–LSTM) were applied on this dataset for the classification of ADHD from typically developing controls. The proposed hybrid system evaluated on the basis of parameters, viz. accuracy, specificity, sensitivity, F1-score, and AUC. In comparison with existing methods, the proposed method achieved significant improvement in analyzing and detection of parameters. By incorporating techniques of deep learning with rs-fMRI, the results built up an adequate and intelligent model to comparatively diagnose ADHD from healthy controls.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-020-00042-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50021497","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}

引用次数: 12

Research Trends on the Usage of Machine Learning and Artificial Intelligence in Advertising 机器学习和人工智能在广告中的应用研究趋势

Augmented Human Research Pub Date : 2020-11-25 DOI: 10.1007/s41133-020-00038-8

Neil Shah, Sarth Engineer, Nandish Bhagat, Hirwa Chauhan, Manan Shah

{"title":"Research Trends on the Usage of Machine Learning and Artificial Intelligence in Advertising","authors":"Neil Shah, Sarth Engineer, Nandish Bhagat, Hirwa Chauhan, Manan Shah","doi":"10.1007/s41133-020-00038-8","DOIUrl":"10.1007/s41133-020-00038-8","url":null,"abstract":"<div><p>Advertising is a way in which a company introduces possible customers to a company’s product/service, the main objective is possibly to convince them to buy their product or use their service. The significance of Advertising is critical for the company, as this alone can make people aware of the company’s product and in doing so can generate a good possibility of it being sold to the customers. It is inevitable for companies to face changes and one such change is the evolution in the way of doing Advertisement. Advertisement is now done with the help of not so newfound helping hand that is Artificial Intelligence and Machine Learning. The answer to the question as to why the change in the process of Advertising is important lies in the before-after statistical observations of companies using this technology. The results themselves are reasonable motivating factors for companies who are yet to acknowledge the change. The serious challenge to this new version of Advertising is to make sure to not allow the usage of it to such a great extent where ordinary person is concerned about his/her privacy. Implementing Advertisements this way, we are quite sure that making laws, enforcing the laws or even having its own governing body can ensure righteous use of deploying this technology. The future of Advertising is going to be even better than before as Artificial Intelligence and Machine Learning will bring more control of Advertising to companies. Summing up, we feel confident that Advertising with Artificial Intelligence and Machine Learning are here for a noticeable and a significant change.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-020-00038-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50047595","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}

引用次数: 39

Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India 估计2019冠状病毒病疫情对印度高危年龄组人口的影响

Augmented Human Research Pub Date : 2020-07-01 DOI: 10.1007/s41133-020-00037-9

Harjit Pal Singh, Vikas Khullar, Monica Sharma

{"title":"Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India","authors":"Harjit Pal Singh, Vikas Khullar, Monica Sharma","doi":"10.1007/s41133-020-00037-9","DOIUrl":"10.1007/s41133-020-00037-9","url":null,"abstract":"<div><p>The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day. The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work. The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India. It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more. The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days. The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission. The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing.\u0000</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41133-020-00037-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49999244","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}

引用次数: 2

Design of a BR-ABC Algorithm-Based Fuzzy Model for Glucose Detection 基于BR-ABC算法的葡萄糖检测模糊模型设计

Augmented Human Research Pub Date : 2020-04-20 DOI: 10.1007/s41133-019-0026-1

Bhumika Gupta, Agya Ram Verma

引用次数: 1