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1. |
Record Nr. |
UNINA9910299587803321 |
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Autore |
Chandra Sushil |
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Titolo |
Aesthetics: Quantification and Deconstruction : A Case Study in Motorcycles / / by Sushil Chandra |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIII, 233 p. 155 illus., 140 illus. in color.) |
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Collana |
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Design Science and Innovation, , 2509-5986 |
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Disciplina |
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Soggetti |
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Engineering design |
Industrial engineering |
Production engineering |
Automobile industry and trade |
Aesthetics |
Engineering Design |
Industrial and Production Engineering |
Automotive Industry |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Sommario/riassunto |
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This book addresses a perennial challenge for product planners and designers alike: how to objectively specify and quantify the aesthetics of products. It provides automotive product planners with a framework for the grammar of aesthetics and a tool for quantifying the aesthetics of an intended product. Further, it equips styling designers with a tool for connecting engineering and aesthetics. Given the author’s extensive experience in motorcycle design, the motorcycle has been chosen as the frame of reference for automobiles. Specifically in the field of automobile design, where engineering and aesthetics go hand in hand, it also becomes important to clearly and objectively define the relationship between engineering design and aesthetics. Accordingly, this book (1) clearly establishes the objective parameters of aesthetics, (2) puts forward a method for quantifying aesthetics, (3) identifies the engineering design parameters affecting aesthetics, and (4) determines |
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the relationship between parameters of aesthetics and engineering design. As such, it offers a useful guide not only for design professionals, but also for students and researchers of design. |
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2. |
Record Nr. |
UNINA9910557611703321 |
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Autore |
de Fátima Domingues Maria |
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Titolo |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (204 p.) |
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Soggetti |
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History of engineering & technology |
Technology: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) |
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and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy. |
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