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_aQA76.9.H85 _bI58 2021eb |
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_a004.019 _qOCoLC _223/eng/20240909 |
245 | 0 | 0 |
_aIntelligent computing for interactive system design : _bstatistics, digital signal processing, and machine learning in practice / _c[edited by] Parisa Eslambolchilar, Andreas Komninos, Mark Dunlop. |
250 | _aFirst edition. | ||
264 | 1 |
_a[Place of publication not identified] : _bACM Books, Association for Computing Machinery, _c[2021] |
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264 | 4 | _c�2021 | |
300 |
_a1 online resource (xvi, 455 pages) : _billustrations (chiefly color) |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aACM Book series, _x2374-6777 ; _v#34 |
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504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aInternet of Everything -- Internet of Everything : introducing privacy -- Statistical grounding -- Ethics and statistics -- DSP basics -- Ethical issues of digital signal processing -- Machine learning basics -- ethical issues in machine learning -- Combining infrastructure sensor and tourism market data in a smart city project : case study 1 -- Ethics and smart cities -- Brain-computer interfacing with interactive systems : case study 2 -- Ethical issues in brain-computer interfaces -- Probabilistic text entry : case study 3 -- Ethical issues in probabilistic text entry -- Secure gestures : case study 4 -- Ethics and secure gestures -- Personal context from mobile phones : case study 5 -- Ethics and personal context -- Building adaptive touch interfaces : case study 6 -- Ethics and adaptive touch interfaces -- Driver cognitive load classification based on physiological data : case study 7 -- Ethics in automotive user interface. | |
520 | _a'Intelligent computing for interactive system design' provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms. -- Back cover. | ||
588 | 0 | _aPrint version record. | |
650 | 0 |
_aHuman-computer interaction. _92100 |
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650 | 0 |
_aUser interfaces (Computer systems) _925526 |
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650 | 0 |
_aSignal processing _xDigital techniques. _926932 |
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650 | 0 |
_aMachine learning. _92890 |
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650 | 0 |
_aStatistics. _969 |
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650 | 0 |
_aComputers _xMoral and ethical aspects. _926933 |
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650 | 2 |
_aUser-Computer Interface _926934 |
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650 | 2 |
_aMachine Learning _92890 |
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650 | 6 |
_aInterfaces utilisateurs (Informatique) _926935 |
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650 | 6 |
_aTraitement du signal _xTechniques num�eriques. _926936 |
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650 | 6 |
_aApprentissage automatique. _913058 |
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650 | 6 |
_aOrdinateurs _xAspect moral. _926937 |
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650 | 6 |
_aStatistique. _925985 |
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650 | 7 |
_astatistics. _2aat _969 |
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_aComputers _xMoral and ethical aspects _2fast _926933 |
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_aHuman-computer interaction _2fast _92100 |
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_aSignal processing _xDigital techniques _2fast _926932 |
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_aStatistics _2fast _969 |
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_aUser interfaces (Computer systems) _2fast _925526 |
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655 | 0 |
_aElectronic books. _93907 |
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700 | 1 |
_aEslambolchilar, Parisa, _eeditor. _926938 |
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700 | 1 |
_aKomninos, Andreas, _eeditor. _926939 |
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700 | 1 |
_aDunlop, Mark, _eeditor. _926940 |
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776 | 0 | 8 |
_iPrint version: _tIntelligent computing for interactive system design. _bFirst edition. _d[Place of publication not identified] : ACM Books, Association for Computing Machinery, [2021] _z9781450390262 _w(OCoLC)1260851244 |
830 | 0 |
_aACM books ; _v#34. _x2374-6769 _920651 |
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