Augmented Human Research最新文献_第2页

Blind Game: An Interactive Installation About How We Can Exorcise Memories of a Visual Disability 盲人游戏：关于我们如何祛除视力残疾记忆的互动装置

Augmented Human Research Pub Date : 2024-08-27 DOI: 10.1007/s41133-024-00070-y

Patrícia Gouveia, Luciana Lima

{"title":"Blind Game: An Interactive Installation About How We Can Exorcise Memories of a Visual Disability","authors":"Patrícia Gouveia, Luciana Lima","doi":"10.1007/s41133-024-00070-y","DOIUrl":"10.1007/s41133-024-00070-y","url":null,"abstract":"<div><p>In this paper, we recover an interactive artwork developed by one of the authors to provide possible ways of inserting the playful and artistic perspective into augmented human studies. In this way, a perspective based on play and interactive digital fiction can inspire us to look at other ways of using digital technologies that focus on improving human capabilities. The interactive installation <i>Blind Game</i> brings us a personal, visual, and playful perspective of a person who, at the age of three years, was diagnosed with amblyopia, revealing the subjective world of the character P.. Created in 2001, this installation was an interactive conceptual artwork developed by a young artist who wanted to exorcise the memories of her diagnosis of amblyopia and the tensions caused by the political instability in her home country. Through interaction and playful strategies, the artist sought to abstract herself from the reality around her, reorganizing her subjective relationship with visual impairment and the political tensions of a transition period between a dictatorial government and a democratic one.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41133-024-00070-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Offline Signature Verification via Transfer Learning and Deep Neural Networks 通过迁移学习和深度神经网络加强离线签名验证

Augmented Human Research Pub Date : 2024-08-19 DOI: 10.1007/s41133-024-00069-5

S. Singh, S. Chandra, Agya Ram Verma

引用次数: 0

Augmented Classroom: A Case Study on Integrating XR and Ludification in Speculative Sculpture Design Workshop 扩增课堂：将 XR 和 Ludification 融入推测性雕塑设计工作坊的案例研究

Augmented Human Research Pub Date : 2024-08-13 DOI: 10.1007/s41133-024-00066-8

Tiago Mindrico, Ana Lúcia, João Costa

{"title":"Augmented Classroom: A Case Study on Integrating XR and Ludification in Speculative Sculpture Design Workshop","authors":"Tiago Mindrico, Ana Lúcia, João Costa","doi":"10.1007/s41133-024-00066-8","DOIUrl":"10.1007/s41133-024-00066-8","url":null,"abstract":"<div><p>This paper delves into a multidisciplinary workshop, “Speculative [x]culptures: Crafting Future Solutions for Statuary in Public Spaces” conducted at the Department of Digital Arts and Cinema at the National and Kapodistrian University of Athens, Greece. Inspired by the ongoing debate on public statuary initiated by the #BlackLivesMatter movement [1], this workshop engages participants in a creative process integrating speculative design methodology with immersive extended reality (XR) experiences and critical play. It encourages meaningful conversations about historical notions of public statuary in creative ways, based on the socio-political context of an example of Greek national statuary—the Greek revolution statue of Theodoros Kolokotronis in Athens, authored by the sculptor Lazaros Sochos and inaugurated in 1904. Aiming to probe diverse perspectives on public statuary and their significance, thereby contributing to the student’s learning and global skills development in the education 4.0 era, the authors explore the synergies between XR technologies and ludification tools in the rapid critical prototyping of 3D concepts. This innovative pedagogical approach enables participants to explore the relations between statuary and context(s), envisioning and prototyping future solutions that shape public statues’ perception and interpretation. The case study presented sheds light on the practical implications of this interdisciplinary approach, offering insights into the potential of XR and speculative design to foster critical socio-environmental thinking in higher education.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411584","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

Immersive Healing: Examining the Effectiveness of Cognitive Behavioral Therapy Using Virtual Reality to Reduce Cognitive Distortions 沉浸式治疗：检验认知行为疗法利用虚拟现实减少认知扭曲的效果

Augmented Human Research Pub Date : 2024-08-12 DOI: 10.1007/s41133-024-00065-9

Abhishek Shukla, Amit Srivastava

{"title":"Immersive Healing: Examining the Effectiveness of Cognitive Behavioral Therapy Using Virtual Reality to Reduce Cognitive Distortions","authors":"Abhishek Shukla, Amit Srivastava","doi":"10.1007/s41133-024-00065-9","DOIUrl":"10.1007/s41133-024-00065-9","url":null,"abstract":"<div><p>This study evaluates the efficacy of virtual reality (VR)-based cognitive behavioral therapy (CBT) in addressing cognitive distortions among youth, contrasting it with traditional therapeutic methods. A quasi-experimental design was employed, involving 30 cognitively distorted youth who received a psychoeducation session followed by AR-VR-based 3D animated CBT scripts. Assessments were conducted at 6 weeks, 2 months, and 4 months post-intervention. The findings revealed a significant reduction in cognitive distortions post-intervention, which was sustained during follow-ups. The AR-VR-based 3D animated scripts emerged as a promising tool for combating cognitive distortions, potentially supplanting conventional therapies. The innovative use of AR-VR technology not only enhances engagement but also expands treatment options, especially for individuals who are unreceptive to traditional interventions. This research underscores the effectiveness of VR-based CBT in addressing cognitive distortions among youth, contributing to advancements in mental health interventions. The study highlights the potential of augmented reality and virtual reality technologies in cognitive distortion interventions.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411437","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

A Comprehensive Study on Relative Distances of Hand Landmarks Approach for American Sign Language Gesture 美国手语手势的手部地标相对距离方法综合研究

Augmented Human Research Pub Date : 2024-02-09 DOI: 10.1007/s41133-024-00064-w

Shail Shah, Jaynil Vaidya, Kishan Pipariya, Manan Shah

引用次数: 0

A Comprehensive Study on Relative Distances of Hand Landmarks Approach for American Sign Language Gesture 美国手语手势的手部地标相对距离方法综合研究

Augmented Human Research Pub Date : 2024-02-09 DOI: 10.1007/s41133-024-00064-w

Shail Shah, Jaynil Vaidya, Kishan Pipariya, Manan Shah

引用次数: 0

Hybrid WCA–PSO Optimized Ensemble Extreme Learning Machine and Wavelet Transform for Detection and Classification of Epileptic Seizure from EEG Signals 混合 WCA-PSO 优化集合极限学习机和小波变换用于从脑电图信号中检测和分类癫痫发作

Augmented Human Research Pub Date : 2023-12-11 DOI: 10.1007/s41133-023-00059-z

Sreelekha Panda, Satyasis Mishra, Mihir Narayana Mohanty

{"title":"Hybrid WCA–PSO Optimized Ensemble Extreme Learning Machine and Wavelet Transform for Detection and Classification of Epileptic Seizure from EEG Signals","authors":"Sreelekha Panda, Satyasis Mishra, Mihir Narayana Mohanty","doi":"10.1007/s41133-023-00059-z","DOIUrl":"10.1007/s41133-023-00059-z","url":null,"abstract":"<div><p>Epilepsy seizures are sudden, chaotic neurological functions. The complexity of the brain is revealed via electroencephalography (EEG). Visual examination-based EEG signal analysis is time-consuming, expensive, and difficult. Epilepsy-related mortality is a serious concern. In the diagnostic procedure, computer-assisted diagnosis approaches for precise and automatic detection and classification of epileptic seizures play a crucial role. Due to the classifier's high processing time requirements caused by its mathematical complexity and computational time, we propose a hybrid water cycle algorithm (WCA)–particle swarm optimization (PSO) optimized ensemble extreme learning machine (EELM) classification of seizures to improve the classification performance of the classifier. Firstly, we use feature extraction by utilizing the wavelet transform. The extracted features are aligned as input to the WCA–PSO–EELM for classification. The particle swarm optimization (PSO) algorithm is used to initialize the optimization variables of a WCA algorithm, and the WCA algorithm is used to optimize the input weight of the ELM (i.e., the WCA–PSO–ELM (WPELM)) for classification of seizure and non-seizure EEG signals. University of Bonn database is used for the experiment. The performance measures sensitivity, specificity, and accuracy are considered and achieved 98.78%, 99.23%, and 99.12%, that is, higher than those of other conventional algorithms. To validate the robustness of the WCA–PSO algorithm, three benchmark functions are considered for optimization. The comparison results are presented to visualize the uniqueness of the proposed WCA–PSO–EELM classifier. From the comparison results, it was observed that the proposed WCA–PSO–EELM model outperformed in classifying the seizure and non-seizure EEG signals.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138627672","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

Improvement in Motor Skills, Attention, and Working Memory in Mild Cognitive Impairment and Alzheimer’s Disease Patients Using COSMA Cognitive App 使用 COSMA 认知应用程序提高轻度认知障碍和阿尔茨海默病患者的运动技能、注意力和工作记忆能力

Augmented Human Research Pub Date : 2023-12-11 DOI: 10.1007/s41133-023-00061-5

Aikaterini Christogianni, Kartheka Bojan, Elizabeta Mukaetova-Ladinska, V. T. Sriramm, G. Murthy, Gopukumar Kumarpillai

{"title":"Improvement in Motor Skills, Attention, and Working Memory in Mild Cognitive Impairment and Alzheimer’s Disease Patients Using COSMA Cognitive App","authors":"Aikaterini Christogianni, Kartheka Bojan, Elizabeta Mukaetova-Ladinska, V. T. Sriramm, G. Murthy, Gopukumar Kumarpillai","doi":"10.1007/s41133-023-00061-5","DOIUrl":"10.1007/s41133-023-00061-5","url":null,"abstract":"<div><p>There are a rapid growth of adults with cognitive impairments and an increasing need for cognitive stimulation and rehabilitation to delay cognitive deterioration. COSMA, a cognitive gaming app, was developed to assist cognitive stimulation in people with cognitive decline and dementia. Therefore, the study was conducted to investigate the effectiveness of COSMA in people with mild cognitive impairment (MCI) and early Alzheimer’s disease (AD). The study involved a treatment group who played COSMA at home and during laboratory visits for 28 days and a control group who played only during laboratory visits. Each group was measured on days 1–14–28, where recordings of playing COSMA and Cambridge Neuropsychological Test Automated Battery (CANTAB) tests were taken. The results showed that the MCI treatment group improved sensorimotor skills in 14 days, sustained attention, spatial planning, working and visual memory, and learning in 28 days. The AD treatment group improved in sustained attention in 14 and 28 days and showed a lower cognitive decline in working memory compared to the AD control group in 28 days. Both control groups did not show any level of improvement. Even though the progression of the MCI was faster than that of the early AD, the study showed inspired results of cognitive improvement in both groups. COSMA showed evidence that cognitive stimulation and rehabilitation are possible in MCI and AD and that it is an effective and efficient non-pharmacological therapeutic tool in these groups of patients.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138610880","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

ECG Data Compression Using of Empirical Wavelet Transform for Telemedicine and e-Healthcare Systems 利用经验小波变换压缩心电图数据，用于远程医疗和电子保健系统

Augmented Human Research Pub Date : 2023-12-09 DOI: 10.1007/s41133-023-00063-3

Agya Ram Verma, Shanti Chandra, G. K. Singh, Yatendra Kumar, Manoj Kumar Panda, Suresh Kumar Panda

{"title":"ECG Data Compression Using of Empirical Wavelet Transform for Telemedicine and e-Healthcare Systems","authors":"Agya Ram Verma, Shanti Chandra, G. K. Singh, Yatendra Kumar, Manoj Kumar Panda, Suresh Kumar Panda","doi":"10.1007/s41133-023-00063-3","DOIUrl":"10.1007/s41133-023-00063-3","url":null,"abstract":"<div><p>In this article, a highly adaptable method the empirical wavelet transform (EWT) is utilized to compress electrocardiogram (ECG) data. EWT and run-length encoding (RLE)-based technique is used for data compression of ECG rhythms. EWT is chosen because it is highly adaptable and can decompose a non-stationary signal into different frequency modes efficiently. The modified RLE is used to acquire the high reduction performance. The projected method is tested with MIT-BIH arrhythmia database and experiments are carried out in MATLAB R2016b. Performance of the proposed algorithm is evaluated in terms of compression ratio (CR), percent root mean squire difference (PRD), signal-to-noise ratio (SNR), retained energy (RE) and quality score (QS). Result shows a high CR (31%), low PRD (0.0750) and high QS (414). Comparative analysis of the performance of projected technique with several existing techniques is also done, which shows that the proposed technique is superior in terms of PRD and CR. WT is also used to detect the R-peaks (location and amplitude) using amplitude thresholding. The program took 4.452793 s to run.</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138609015","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

Timely Prediction of Diabetes by Means of Machine Learning Practices 通过机器学习实践及时预测糖尿病

Augmented Human Research Pub Date : 2023-12-09 DOI: 10.1007/s41133-023-00062-4

Rajan Prasad Tripathi, Manvinder Sharma, Anuj Kumar Gupta, Digvijay Pandey, Binay Kumar Pandey, Aakifa Shahul, A. S. Hovan George

引用次数: 0