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Human Activity and Behavior Analysis relates to the field of vision
and sensor-based human action or activity and behavior analysis and
recognition. The book includes a series of methodologies, surveys,
relevant datasets, challenging applications, ideas, and future
prospects. The book discusses topics such as action recognition,
action understanding, gait analysis, gesture recognition, behavior
analysis, emotion and affective computing, and related areas. The
book has been divided into two volumes. Volume 1 focuses on
relevant activities in three main subject areas: Healthcare and
Emotion, Mental Health, and Nurse Care Records. Volume 2 focuses on
two main subject areas: Movement and Sensors, and Sports Activity
Analysis. The editors are experts in these arenas and the
contributing authors are drawn from high-impact research groups
around the world. This book will be of great interest to academics,
students, and professionals working and researching in the field of
human activity and behavior analysis.
Human Activity and Behavior Analysis relates to the field of vision
and sensor-based human action or activity and behavior analysis and
recognition. The book includes a series of methodologies, surveys,
relevant datasets, challenging applications, ideas, and future
prospects. The book discusses topics such as action recognition,
action understanding, gait analysis, gesture recognition, behavior
analysis, emotion and affective computing, and related areas. This
volume focuses on relevant activities in three main subject areas:
Healthcare and Emotion, Mental Health, and Nurse Care Records. The
editors are experts in these arenas and the contributing authors
are drawn from high-impact research groups around the world. This
book will be of great interest to academics, students, and
professionals working and researching in the field of human
activity and behavior analysis.
Human Activity and Behavior Analysis relates to the field of vision
and sensor-based human action or activity and behavior analysis and
recognition. The book includes a series of methodologies, surveys,
relevant datasets, challenging applications, ideas, and future
prospects. The book discusses topics such as action recognition,
action understanding, gait analysis, gesture recognition, behavior
analysis, emotion and affective computing, and related areas. This
volume focuses on two main subject areas: Movement and Sensors, and
Sports Activity Analysis. The editors are experts in these arenas
and the contributing authors are drawn from high-impact research
groups around the world. This book will be of great interest to
academics, students, and professionals working and researching in
the field of human activity and behavior analysis.
Focuses on several core aspects of Industry 4.0 on computer vision
& imaging. Highlights several exciting techniques for disease
prediction, NLP, image captioning, flood level assessment, crop
classifications, and fabrication of smart wheelchairs. Covers
several chapters on Natural Language Processing (NLP), focusing on
Bangla language. Chapters presented in a step-by-step manner so
that young minds can understand and implement easily.
This book serves as the first guideline of the integrative
approach, optimal for our new and young generations. Recent
technology advancements in computer vision, IoT sensors, and
analytics open the door to highly impactful innovations and
applications as a result of effective and efficient integration of
those. Such integration has brought to scientists and engineers a
new approach -the integrative approach. This offers far more rapid
development and scalable architecting when comparing to the
traditional hardcore developmental approach. Featuring biomedical
and healthcare challenges including COVID-19, we present a
collection of carefully selective cases with significant added-
values as a result of integrations, e.g., sensing with AI,
analytics with different data sources, and comprehensive monitoring
with many different sensors, while sustaining its readability.
This book serves as the first guideline of the integrative
approach, optimal for our new and young generations. Recent
technology advancements in computer vision, IoT sensors, and
analytics open the door to highly impactful innovations and
applications as a result of effective and efficient integration of
those. Such integration has brought to scientists and engineers a
new approach -the integrative approach. This offers far more rapid
development and scalable architecting when comparing to the
traditional hardcore developmental approach. Featuring biomedical
and healthcare challenges including COVID-19, we present a
collection of carefully selective cases with significant added-
values as a result of integrations, e.g., sensing with AI,
analytics with different data sources, and comprehensive monitoring
with many different sensors, while sustaining its readability.
Focusing on the vision-based and sensor-based recognition and
analysis of human activity and behavior, this book gathers extended
versions of selected papers presented at the International
Conference on Activity and Behavior Computing (ABC 2020), held in
Kitakyushu, Japan on August 26 - 29, 2020. The respective chapters
cover action recognition, action understanding, gait analysis,
gesture recognition, behavior analysis, emotion and affective
computing, and related areas. The book addresses various challenges
and aspects of human activity recognition in both the sensor-based
and vision-based domains, making it a unique guide to the field.
This book focuses on signal processing techniques used in
computational health informatics. As computational health
informatics is the interdisciplinary study of the design,
development, adoption and application of information and
technology-based innovations, specifically, computational
techniques that are relevant in health care, the book covers a
comprehensive and representative range of signal processing
techniques used in biomedical applications, including: bio-signal
origin and dynamics, sensors used for data acquisition, artefact
and noise removal techniques, feature extraction techniques in the
time, frequency, time-frequency and complexity domain, and image
processing techniques in different image modalities. Moreover, it
includes an extensive discussion of security and privacy
challenges, opportunities and future directions for computational
health informatics in the big data age, and addresses the
incorporation of recent techniques from the areas of artificial
intelligence, deep learning and human-computer interaction. The
systematic analysis of the state-of-the-art techniques covered here
helps to further our understanding of the physiological processes
involved and expandour capabilities in medical diagnosis and
prognosis. In closing, the book, the first of its kind, blends
state-of-the-art theory and practices of signal processing
techniques inthe health informatics domain with real-world case
studies building on those theories. As a result, it can be used as
a text for health informatics courses to provide medics with
cutting-edge signal processing techniques, or to introducehealth
professionals who are already serving in this sector to some of the
most exciting computational ideas that paved the way for the
development of computational health informatics.
This book is a truly comprehensive, timely, and very much needed
treatise on the conceptualization of analysis, and design of
contactless & multimodal sensor-based human activities,
behavior understanding & intervention. From an interaction
design perspective, the book provides views and methods that allow
for more safe, trustworthy, efficient, and more natural interaction
with technology that will be embedded in our daily living
environments. The chapters in this book cover sufficient grounds
and depth in related challenges and advances in sensing, signal
processing, computer vision, and mathematical modeling. It covers
multi-domain applications, including surveillance and elderly care
that will be an asset to entry-level and practicing engineers and
scientists.(See inside for the reviews from top experts)
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.
Focusing on the vision-based and sensor-based recognition and
analysis of human activity and behavior, this book gathers extended
versions of selected papers presented at the International
Conference on Activity and Behavior Computing (ABC 2020), held in
Kitakyushu, Japan on August 26 - 29, 2020. The respective chapters
cover action recognition, action understanding, gait analysis,
gesture recognition, behavior analysis, emotion and affective
computing, and related areas. The book addresses various challenges
and aspects of human activity recognition in both the sensor-based
and vision-based domains, making it a unique guide to the field.
This book presents a compilation of state-of-the-art work on
biomedical and cyber-physical systems in connection with the
Internet of Things, and successfully blends theory and practice.
The book covers the studies belonging to Biomedical and
Cyber-physical System, so it is a unique effort by the research
experts, who are divulging in the domain deeply. The book is very
easy for the audience, who are doing study in the Biomedical and
Cyber-physical System; it helps to read some real-time scenarios
from where the reader in general gets many sparking ideas to
convert it into the research problems in their studies. This book
is of use to solve down the problems of graduate, postgraduate,
doctoral industry executives, who are involving in the cutting-edge
work of Internet of Things with Biomedical or Cyber-physical
System, with the help of real-time solutions, given in the
formation of chapters by subject's experts.The key uses of this
book are in the area of Internet of Things in connection with
Cyber-physical System as well as Biomedical domain.
This book focuses on signal processing techniques used in
computational health informatics. As computational health
informatics is the interdisciplinary study of the design,
development, adoption and application of information and
technology-based innovations, specifically, computational
techniques that are relevant in health care, the book covers a
comprehensive and representative range of signal processing
techniques used in biomedical applications, including: bio-signal
origin and dynamics, sensors used for data acquisition, artefact
and noise removal techniques, feature extraction techniques in the
time, frequency, time-frequency and complexity domain, and image
processing techniques in different image modalities. Moreover, it
includes an extensive discussion of security and privacy
challenges, opportunities and future directions for computational
health informatics in the big data age, and addresses the
incorporation of recent techniques from the areas of artificial
intelligence, deep learning and human-computer interaction. The
systematic analysis of the state-of-the-art techniques covered here
helps to further our understanding of the physiological processes
involved and expandour capabilities in medical diagnosis and
prognosis. In closing, the book, the first of its kind, blends
state-of-the-art theory and practices of signal processing
techniques inthe health informatics domain with real-world case
studies building on those theories. As a result, it can be used as
a text for health informatics courses to provide medics with
cutting-edge signal processing techniques, or to introducehealth
professionals who are already serving in this sector to some of the
most exciting computational ideas that paved the way for the
development of computational health informatics.
This book is a truly comprehensive, timely, and very much needed
treatise on the conceptualization of analysis, and design of
contactless & multimodal sensor-based human activities,
behavior understanding & intervention. From an interaction
design perspective, the book provides views and methods that allow
for more safe, trustworthy, efficient, and more natural interaction
with technology that will be embedded in our daily living
environments. The chapters in this book cover sufficient grounds
and depth in related challenges and advances in sensing, signal
processing, computer vision, and mathematical modeling. It covers
multi-domain applications, including surveillance and elderly care
that will be an asset to entry-level and practicing engineers and
scientists.(See inside for the reviews from top experts)
The book introduces some challenging methods and solutions to solve
the human activity recognition challenge. This book highlights the
challenge that will lead the researchers in academia and industry
to move further related to human activity recognition and behavior
analysis, concentrating on cooking challenge. Current activity
recognition systems focus on recognizing either the complex label
(macro-activity) or the small steps (micro-activities) but their
combined recognition is critical for analysis like the challenge
proposed in this book. It has 10 chapters from 13 institutes and 8
countries (Japan, USA, Switzerland, France, Slovenia, China,
Bangladesh, and Columbia).
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.
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The Love of a Chemist (Paperback)
Nodi Tabassum; Illustrated by Atiqur Rahman Forayeji; Mustafiz Forayeji Jerry
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R154
Discovery Miles 1 540
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Ships in 10 - 15 working days
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Human action analyses and recognition are challenging problems due
to large variations in human motion and appearance, camera
viewpoint and environment settings. The field of action and
activity representation and recognition is relatively old, yet not
well-understood by the students and research community. Some
important but common motion recognition problems are even now
unsolved properly by the computer vision community. However, in the
last decade, a number of good approaches are proposed and evaluated
subsequently by many researchers. Among those methods, some methods
get significant attention from many researchers in the computer
vision field due to their better robustness and performance. This
book will cover gap of information and materials on comprehensive
outlook - through various strategies from the scratch to the
state-of-the-art on computer vision regarding action recognition
approaches. This book will target the students and researchers who
have knowledge on image processing at a basic level and would like
to explore more on this area and do research. The step by step
methodologies will encourage one to move forward for a
comprehensive knowledge on computer vision for recognizing various
human actions.
Children are the backbone of a nation.Slum dwelling children in
Bangladesh are neglected in any development initiative .This paper
highlights the child rights of the slum dwelling children in the
light of their living pattern, education, health, sanitation,
recreation, basic needs and reason behind deprivation.Case study
and qualitative methods use this paper. According to the child
rights declaration 1988 state should be ensure rights of the
children.Public initiative also support this sector.This study find
out that slum dwelling children are totally out of national level
development initiative in some specific indicators.
Human action analysis and recognition is a relatively mature field,
yet one which is often not well understood by students and
researchers. The large number of possible variations in human
motion and appearance, camera viewpoint, and environment, present
considerable challenges. Some important and common problems remain
unsolved by the computer vision community. However, many valuable
approaches have been proposed over the past decade, including the
motion history image (MHI) method. This method has received
significant attention, as it offers greater robustness and
performance than other techniques. This work presents a
comprehensive review of these state-of-the-art approaches and their
applications, with a particular focus on the MHI method and its
variants.
The purpose of this research project is to identify the various
ways in which NFIs affect levels of motivation while suggesting
appropriate ways to improve and increase the value of the reward
package, based on relevant data and an assessment of the current
reward package. The results reveal that NFIs are particularly
valued by case study UK organisation's employees hence the need to
design an improved total reward package that would take into
consideration the intrinsic needs of individuals as satisfaction
levels were also found to be higher for NFIs compared with
compensation. It was also found that employees had different
opinions concerning what was called 'self' levels of motivation and
'others' levels of motivation. Finally, an elusive character of
employee benefits was identified in the literature as well as in
the case study organisation and was addressed through a
classification of benefits depending on what was named the
'incorporated intrinsic element'.
Human action analyses and recognition are challenging problems due
to large variations in human motion and appearance, camera
viewpoint and environment settings. The field of action and
activity representation and recognition is relatively old, yet not
well-understood by the students and research community. Some
important but common motion recognition problems are even now
unsolved properly by the computer vision community. However, in the
last decade, a number of good approaches are proposed and evaluated
subsequently by many researchers. Among those methods, some methods
get significant attention from many researchers in the computer
vision field due to their better robustness and performance. This
book will cover gap of information and materials on comprehensive
outlook - through various strategies from the scratch to the
state-of-the-art on computer vision regarding action recognition
approaches. This book will target the students and researchers who
have knowledge on image processing at a basic level and would like
to explore more on this area and do research. The step by step
methodologies will encourage one to move forward for a
comprehensive knowledge on computer vision for recognizing various
human actions.
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