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Fashion law encompasses a wide variety of issues that concern an article of clothing or a fashion accessory, starting from the moment they are designed and following them through distribution and marketing phases, all the way until they reach the end-user. Contract law, intellectual property, company law, tax law, international trade, and customs law are of fundamental importance in defining this new field of law that is gradually taking shape. This volume focuses on the new frontiers of fashion law, taking into account the various fields that have recently emerged as being of great interest for the entire fashion world: from sustainable fashion to wearable technologies, from new remedies to cultural appropriation to the regulation of model weight, from advertising law on the digital market to the impact of new technologies on product distribution. The purpose is to stimulate discussion on contemporary problems that have the potential to define new boundaries of fashion law, such as the impact of the heightened ethical sensitivity of consumers (who increasingly require effective solutions), that a comparative law perspective renders more interesting. The volume seeks to sketch out the new legal fields in which the fashion industry is getting involved, identifying the new boundaries of fashion law that existing literature has not dealt with in a comprehensive manner.
fashion --- influencer marketing --- online advertising --- self-regulation --- code of ethics --- sustainable fashion --- ethical consumer --- fashion law --- fast fashion --- sustainability --- corporate social responsibility --- circular fashion --- textile and clothing waste --- EU Waste Framework Directive --- fashion shows --- copyright --- performers’ rights --- collective works --- image --- right of privacy --- right of publicity --- Photoshop --- models --- cultural appropriation --- intellectual property --- traditional knowledge --- traditional designs --- private governance --- Corporate Social Responsibility --- folklore --- art --- copyright law --- intellectual property law --- artistic value --- social media --- comparative law --- wearable devices --- GDPR --- data breach --- smart fashion --- smart clothes --- transparency --- privacy --- data protection --- legal informatics --- cybersecurity
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Fashion law encompasses a wide variety of issues that concern an article of clothing or a fashion accessory, starting from the moment they are designed and following them through distribution and marketing phases, all the way until they reach the end-user. Contract law, intellectual property, company law, tax law, international trade, and customs law are of fundamental importance in defining this new field of law that is gradually taking shape. This volume focuses on the new frontiers of fashion law, taking into account the various fields that have recently emerged as being of great interest for the entire fashion world: from sustainable fashion to wearable technologies, from new remedies to cultural appropriation to the regulation of model weight, from advertising law on the digital market to the impact of new technologies on product distribution. The purpose is to stimulate discussion on contemporary problems that have the potential to define new boundaries of fashion law, such as the impact of the heightened ethical sensitivity of consumers (who increasingly require effective solutions), that a comparative law perspective renders more interesting. The volume seeks to sketch out the new legal fields in which the fashion industry is getting involved, identifying the new boundaries of fashion law that existing literature has not dealt with in a comprehensive manner.
Law --- fashion --- influencer marketing --- online advertising --- self-regulation --- code of ethics --- sustainable fashion --- ethical consumer --- fashion law --- fast fashion --- sustainability --- corporate social responsibility --- circular fashion --- textile and clothing waste --- EU Waste Framework Directive --- fashion shows --- copyright --- performers’ rights --- collective works --- image --- right of privacy --- right of publicity --- Photoshop --- models --- cultural appropriation --- intellectual property --- traditional knowledge --- traditional designs --- private governance --- Corporate Social Responsibility --- folklore --- art --- copyright law --- intellectual property law --- artistic value --- social media --- comparative law --- wearable devices --- GDPR --- data breach --- smart fashion --- smart clothes --- transparency --- privacy --- data protection --- legal informatics --- cybersecurity
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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
Humanities --- Social interaction --- eHealth --- wearable --- monitoring --- services --- integration --- IoT --- Telemedicine --- wearable sensors --- multivariate analysis --- longitudinal study --- functional decline --- exercise intervention --- accidental falls --- fall detection --- real-world --- signal analysis --- performance measures --- non-wearable sensors --- accelerometers --- cameras --- machine learning --- smart textiles --- healthcare --- talking detection --- activity recognition and monitoring --- patient health and state monitoring --- wearable sensing --- orientation-invariant sensing --- motion sensors --- accelerometer --- gyroscope --- magnetometer --- pattern classification --- artificial intelligence --- supervised machine learning --- predictive analytics --- hemodialysis --- non-contact sensor --- heart rate --- respiration rate --- heart rate variability --- time-domain features --- frequency-domain features --- principal component analysis --- behaviour analysis --- classifier efficiency --- personal risk detection --- one-class classification --- actigraphy --- encoding --- data compression --- denoising --- edge computing --- signal processing --- wearables --- activity monitoring --- citizen science --- cluster analysis --- physical activity --- sedentary behavior --- walking --- energy expenditure --- wearable device --- impedance pneumography --- neural network --- mechanocardiogram (MCG) --- smart clothes --- heart failure (HF) --- left ventricular ejection fraction (LVEF) --- technology acceptance model (TAM) --- physical activity classification --- free-living --- GENEactiv accelerometer --- Gaussian mixture model --- hidden Markov model --- wavelets --- skill assessment --- deep learning --- LSTM --- state space model --- probabilistic inference --- latent features --- human activity recognition --- MIMU --- genetic algorithm --- feature selection --- classifier optimization --- bispectrum --- entropy --- feature extraction --- heat stroke --- filtering algorithm --- physiological parameters --- exercise experiment --- biomedical signal processing --- wearable biomedical sensors --- wireless sensor network --- respiratory monitoring --- optoelectronic plethysmography --- biofeedback --- biomedical technology --- exercise therapy --- orthopedics --- mobile health --- qualitative --- human factors --- inertial measurement unit --- disease prevention --- occupational healthcare --- P-Ergonomics --- precision ergonomics --- musculoskeletal disorders --- wellbeing at work --- electrocardiogram --- conductive gels --- noncontact electrode --- myocardial ischemia --- pacemaker --- ventricular premature contraction --- upper extremity --- motion --- action research arm test --- activities of daily living --- IoT wearable monitor --- health --- posture analysis --- spinal posture --- wearable sensor --- embedded system --- recurrent neural networks --- physical workload --- wearable systems for healthcare --- machine learning for real-time applications --- actigraph --- body worn sensors --- clothing sensors --- cross correlation analysis --- healthcare movement sensing --- wearable devices --- calibration --- inertial measurement units --- human movement --- physical activity type --- real-life --- GPS --- GIS --- n/a
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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
eHealth --- wearable --- monitoring --- services --- integration --- IoT --- Telemedicine --- wearable sensors --- multivariate analysis --- longitudinal study --- functional decline --- exercise intervention --- accidental falls --- fall detection --- real-world --- signal analysis --- performance measures --- non-wearable sensors --- accelerometers --- cameras --- machine learning --- smart textiles --- healthcare --- talking detection --- activity recognition and monitoring --- patient health and state monitoring --- wearable sensing --- orientation-invariant sensing --- motion sensors --- accelerometer --- gyroscope --- magnetometer --- pattern classification --- artificial intelligence --- supervised machine learning --- predictive analytics --- hemodialysis --- non-contact sensor --- heart rate --- respiration rate --- heart rate variability --- time-domain features --- frequency-domain features --- principal component analysis --- behaviour analysis --- classifier efficiency --- personal risk detection --- one-class classification --- actigraphy --- encoding --- data compression --- denoising --- edge computing --- signal processing --- wearables --- activity monitoring --- citizen science --- cluster analysis --- physical activity --- sedentary behavior --- walking --- energy expenditure --- wearable device --- impedance pneumography --- neural network --- mechanocardiogram (MCG) --- smart clothes --- heart failure (HF) --- left ventricular ejection fraction (LVEF) --- technology acceptance model (TAM) --- physical activity classification --- free-living --- GENEactiv accelerometer --- Gaussian mixture model --- hidden Markov model --- wavelets --- skill assessment --- deep learning --- LSTM --- state space model --- probabilistic inference --- latent features --- human activity recognition --- MIMU --- genetic algorithm --- feature selection --- classifier optimization --- bispectrum --- entropy --- feature extraction --- heat stroke --- filtering algorithm --- physiological parameters --- exercise experiment --- biomedical signal processing --- wearable biomedical sensors --- wireless sensor network --- respiratory monitoring --- optoelectronic plethysmography --- biofeedback --- biomedical technology --- exercise therapy --- orthopedics --- mobile health --- qualitative --- human factors --- inertial measurement unit --- disease prevention --- occupational healthcare --- P-Ergonomics --- precision ergonomics --- musculoskeletal disorders --- wellbeing at work --- electrocardiogram --- conductive gels --- noncontact electrode --- myocardial ischemia --- pacemaker --- ventricular premature contraction --- upper extremity --- motion --- action research arm test --- activities of daily living --- IoT wearable monitor --- health --- posture analysis --- spinal posture --- wearable sensor --- embedded system --- recurrent neural networks --- physical workload --- wearable systems for healthcare --- machine learning for real-time applications --- actigraph --- body worn sensors --- clothing sensors --- cross correlation analysis --- healthcare movement sensing --- wearable devices --- calibration --- inertial measurement units --- human movement --- physical activity type --- real-life --- GPS --- GIS --- n/a
Choose an application
This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
Humanities --- Social interaction --- eHealth --- wearable --- monitoring --- services --- integration --- IoT --- Telemedicine --- wearable sensors --- multivariate analysis --- longitudinal study --- functional decline --- exercise intervention --- accidental falls --- fall detection --- real-world --- signal analysis --- performance measures --- non-wearable sensors --- accelerometers --- cameras --- machine learning --- smart textiles --- healthcare --- talking detection --- activity recognition and monitoring --- patient health and state monitoring --- wearable sensing --- orientation-invariant sensing --- motion sensors --- accelerometer --- gyroscope --- magnetometer --- pattern classification --- artificial intelligence --- supervised machine learning --- predictive analytics --- hemodialysis --- non-contact sensor --- heart rate --- respiration rate --- heart rate variability --- time-domain features --- frequency-domain features --- principal component analysis --- behaviour analysis --- classifier efficiency --- personal risk detection --- one-class classification --- actigraphy --- encoding --- data compression --- denoising --- edge computing --- signal processing --- wearables --- activity monitoring --- citizen science --- cluster analysis --- physical activity --- sedentary behavior --- walking --- energy expenditure --- wearable device --- impedance pneumography --- neural network --- mechanocardiogram (MCG) --- smart clothes --- heart failure (HF) --- left ventricular ejection fraction (LVEF) --- technology acceptance model (TAM) --- physical activity classification --- free-living --- GENEactiv accelerometer --- Gaussian mixture model --- hidden Markov model --- wavelets --- skill assessment --- deep learning --- LSTM --- state space model --- probabilistic inference --- latent features --- human activity recognition --- MIMU --- genetic algorithm --- feature selection --- classifier optimization --- bispectrum --- entropy --- feature extraction --- heat stroke --- filtering algorithm --- physiological parameters --- exercise experiment --- biomedical signal processing --- wearable biomedical sensors --- wireless sensor network --- respiratory monitoring --- optoelectronic plethysmography --- biofeedback --- biomedical technology --- exercise therapy --- orthopedics --- mobile health --- qualitative --- human factors --- inertial measurement unit --- disease prevention --- occupational healthcare --- P-Ergonomics --- precision ergonomics --- musculoskeletal disorders --- wellbeing at work --- electrocardiogram --- conductive gels --- noncontact electrode --- myocardial ischemia --- pacemaker --- ventricular premature contraction --- upper extremity --- motion --- action research arm test --- activities of daily living --- IoT wearable monitor --- health --- posture analysis --- spinal posture --- wearable sensor --- embedded system --- recurrent neural networks --- physical workload --- wearable systems for healthcare --- machine learning for real-time applications --- actigraph --- body worn sensors --- clothing sensors --- cross correlation analysis --- healthcare movement sensing --- wearable devices --- calibration --- inertial measurement units --- human movement --- physical activity type --- real-life --- GPS --- GIS
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