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Data collection, analysis methods and equipment for naturalistic studies and requirements for the different application areas. PROLOGUE Deliverable D2.1

机译：自然研究的数据收集，分析方法和设备以及不同应用领域的要求。序言交付品D2.1

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This report is project deliverable 2.1 from the PROLOGUE project (Promoting real Life Observations for Gaining Understanding of road user behaviour in Europe): http://www.prologue-eu.eu/prologue/deliverables/

机译：该报告是PROLOGUE项目的“项目可交付成果2.1”（促进对欧洲道路使用者行为的真实生活观察）：http://www.prologue-eu.eu/prologue/deliverables/

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Welsh Ruth; Reed Steven; Morris Andrew; Talbot Rachel;
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年度 2010
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1. Methodology for the application of predictive method for road safety analysis in urban areas. The case study of Brescia [J] . Michela Bonera, Giulio Maternini Transportation Research Procedia . 2020,第1期

机译：城市地区道路安全分析预测方法应用的方法论。布雷西亚的案例研究
2. The Wagging Foot of Uncertainty: Data Collection and Reduction Methods for Examining Foot Pedal Behavior in Naturalistic Driving [J] . Daniel V. McGehee, Cheryl A. Roe, Linda Ng Boyle, SAE international journal of transportation safety . 2016,第2期

机译：不确定的摇摆脚：用于自然驾驶中脚踏板行为的数据收集和简化方法
3. Complementary methodologies to identify weather conditions in naturalistic driving study trips: Lessons learned from the SHRP2 naturalistic driving study & roadway information database [J] . Ghasemzadeh Ali, Hammit Britton E., Ahmed Mohamed M., Safety science . 2019,第期

机译：互补方法，以识别自然驾驶研究旅行中的天气条件：从SHRP2自然驾驶研究和巷道信息数据库中汲取的经验教训
4. Improving Driver Safety Through Naturalistic Data Collection and Analysis Methods [C] . Zachary Doerzaph, Thomas A. Dingus, Jon Hankey SAE Convergence . 2010

机译：通过自然主义数据收集和分析方法提高驾驶员安全
5. Methods and Applications for Collection, Contamination Estimation, and Linkage Analysis of Large-Scale Human Genotype Data [D] . Zajac, Gregory J.M. 2020

机译：用于集合，污染估算和大规模人类基因型数据的联系分析的方法和应用
6. The Language of Driving: Advantages and Applications of Symbolic Data Reduction for Analysis of Naturalistic Driving Data [O] . Anthony D. McDonald, John D. Lee, Nazan S. Aksan, -1

机译：驾驶的语言：优势和自然主义的驱动数据和分析象征数据缩减的应用
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Community Health Information Policy (CHIPS): Evaluation of Application of Several Existing National Data Collection Methodologies to Selected Small Geographic Areas. Phase 3. Evaluation and Analysis [R] . 1983

机译：社区卫生信息政策（CHIps）：评估若干现有国家数据收集方法在选定的小地理区域的应用。阶段3.评估和分析

Data collection, analysis methods and equipment for naturalistic studies and requirements for the different application areas. PROLOGUE Deliverable D2.1

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