Analysing Data From Capacitive Floor Sensors For Human Gait Assessment Using Artificial Neural Networks
Download Analysing Data From Capacitive Floor Sensors For Human Gait Assessment Using Artificial Neural Networks full books in PDF, epub, and Kindle. Read online free Analysing Data From Capacitive Floor Sensors For Human Gait Assessment Using Artificial Neural Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Raoul Hoffmann |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 202 |
| Release | : |
| Genre | : |
| ISBN | : 3832557482 |
Gait analysis is valuable in medical research and diagnosis, by delivering information that helps in choosing methods of intervention and rehabilitation that are beneficial for a patient. In gait laboratories, cameras or IMUs are often used to gather gait patterns. This thesis explores the possibility of using sensors below the floor as a gait data source. These sensors measure changes in the electrical capacitance to recognise steps. The construction is designed for indoor environments and is hidden under common flooring layer types. Therefore, it is very robust and suitable for practical use in daily clinical routine. A formal framework was developed to represent the measurements, considering the special characteristics of this floor sensor. The data were then used as input for artificial neural networks that were applied on classification and regression tasks. In a feature construction and extraction approach, the spatial spread of footfalls was derived and used with a feed-forward neural network. Then, in a feature learning approach, the time series data was transformed into a local receptive field, and used with a recurrent neural network. Three studies were conducted for the goals to distinguish between people with low and high risk of falling, to estimate age, and to recognise walking challenges as an external gait intervention. The combination of a robust and hidden floor sensor and machine learning opens up the prospect of future applications in health and care.
| Author | : Ewa Piętka |
| Publisher | : Springer |
| Total Pages | : 400 |
| Release | : 2016-05-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3319399047 |
ITiB’2016 is the 5th Conference on Information Technologies in Biomedicine organized by the Department of Informatics & Medical Equipment of Silesian University of Technology every other year. The Conference is under the auspices of the Committee on Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. The meeting has become a recognized event that helps to bridge the gap between methodological achievements in engineering and clinical requirements in medical diagnosis, therapy, and rehabilitation. Mathematical information analysis, computer applications together with medical equipment and instruments have become standard tools underpinning the current rapid progress with developing Computational Intelligence. Members of academic societies of technical and medical background present their research results and clinical implementations. This proceedings (divided in 2 volumes) include the following sections: ؠ Image Processing ؠ Signal Processing ؠ Medical Information System & Database ؠ Ambient Assisted Living ؠ Bioinformatics ؠ Modeling & Simulation ؠ Biomechatronics ؠ Biomaterials
| Author | : Mr. Dayakar Babu Kancherla |
| Publisher | : Xoffencerpublication |
| Total Pages | : 198 |
| Release | : 2024-05-15 |
| Genre | : Computers |
| ISBN | : 8197370885 |
Data mining is a topic that is currently trending in the research world and has captured the attention of a wide variety of sectors in our everyday lives. As a result of the enormous amount of data, there is an imminent requirement to transform big data into information and data that can be used. Controlling production, conducting scientific research, designing engineering projects, managing businesses, and conducting market research are all examples of the knowledge that may be gained from using applications. The process of data mining is thought to have emerged as a consequence of the proliferation of datasets and the development of information technologies. In the process of designing following techniques, the evolutionary routes that have been seen in database industries are taken into consideration. These techniques include the development of datasets, the collection of data, and the supervision of databases for the purpose of data storage and retrieval in order to achieve effective data analysis for improved understanding. Beginning in the year 1960, the information technologies and databases have undergone a methodical evolution, transitioning from simple and traditional processing models to more complex and prevalent database models. Since 1970, the analysis and design of database models have accompanied the invention of relational databases, data organizing methods, indexing, and data modeling tools. This has contributed to the development of these tools. Additionally, the consumers were able to obtain instantaneous access to the data through the utilization of user interfaces, query processing, and query languages. To put it another way, data mining is a method that is utilized for the purpose of extracting knowledge from large databases. Taking into consideration a variety of fields, such as information retrieval, databases, machine learning, and statistics, has led to the development of the products and functionalities that are currently used in data mining. When it comes to the Knowledge Discovery in Databases (KDDs) process, other areas of computer science have encountered a significant problem that is associated with graphics and multimedia systems. Knowledge discovery and discovery (KDD) is a term that refers to the total process of gaining meaningful knowledge from data. KDD is designed to demonstrate the results of the KDD process in a substantial manner.
| Author | : Christopher L Vaughan |
| Publisher | : |
| Total Pages | : 137 |
| Release | : 1992 |
| Genre | : Gait in humans |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 2092 |
| Release | : 1997 |
| Genre | : Electrical engineering |
| ISBN | : |
| Author | : Andreas Holzinger |
| Publisher | : Springer |
| Total Pages | : 283 |
| Release | : 2015-02-24 |
| Genre | : Medical |
| ISBN | : 3319162268 |
Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.
| Author | : Francesco Di Nardo |
| Publisher | : MDPI |
| Total Pages | : 192 |
| Release | : 2021-05-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3036504389 |
The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
| Author | : Anthony Lawrence |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 295 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1461217342 |
A description of the inertial technology used for guidance, control, and navigation, discussing in detail the principles, operation, and design of sensors, gyroscopes, and accelerometers, as well as the advantages and disadvantages of particular systems. An engineer with long practical experience in the field, the author elucidates such recent developments as fibre-optic gyroscopes, solid-state accelerometers, and the global positioning system. This will be of interest to researchers and practising engineers involved in systems engineering, aeronautics, space research, and navigation on both land and sea.
| Author | : Md Atiqur Rahman Ahad |
| Publisher | : Springer Nature |
| Total Pages | : 214 |
| Release | : 2020-07-30 |
| Genre | : Computers |
| ISBN | : 3030513793 |
This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.
| Author | : Subhas Mukhopadhyay |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 368 |
| Release | : 2012-09-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642325378 |
The pervasive healthcare system focus towards achieving two specific goals: the availability of eHealth applications and medical information anywhere and anytime and the invisibility of computing. Furthermore, pervasive health system encompasses new types of sensing and communication of health information as well as new type of interactions among health providers and people, among patients, among patients and researchers and patients and corporations. This book aims at promoting the discussion on current trends in technologies and concepts that help integrate health monitoring and healthcare more seamlessly to our everyday lives, regardless of space and time, but also present cutting edge perspectives and visions to highlight future development. The book presents not only the state of the art technologies and solutions to tackle the critical challenges faced by the building and development of the pervasive health system but also potential impact on society at social, medical and technological level.
