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Showing 1 - 12 of
12 matches in All Departments
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 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.
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.
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.
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).
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Mobile Computing, Applications, and Services - 9th International Conference, MobiCASE 2018, Osaka, Japan, February 28 - March 2, 2018, Proceedings (Paperback, 1st ed. 2018)
Kazuya Murao, Ren Ohmura, Sozo Inoue, Yusuke Gotoh
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R1,560
Discovery Miles 15 600
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 9th International Conference on Mobile
Computing, Applications, and Services (MobiCASE 2015) held in
Osaka, Japan, February 28 - March 2, 2018. The 10 full papers and
13 demo/ poster papers were carefully reviewed and selected from 35
submissions. The conference papers are covering intelligent
caching; activity recognition and crowdsourcing; mobile frameworks;
middleware; interactive applications; and mobility.
Activity recognition has emerged as a challenging and high-impact
research field, as over the past years smaller and more powerful
sensors have been introduced in wide-spread consumer devices.
Validation of techniques and algorithms requires large-scale human
activity corpuses and improved methods to recognize activities and
the contexts in which they occur. This book deals with the
challenges of designing valid and reproducible experiments, running
large-scale dataset collection campaigns, designing activity and
context recognition methods that are robust and adaptive, and
evaluating activity recognition systems in the real world with real
users.
This book presents the best-selected research papers presented at
the 3rd International Conference on Activity and Behavior Computing
(ABC 2021), during 20–22 October 2021. The book includes works
related to the field of vision- and sensor-based human action or
activity and behavior analysis and recognition. It covers human
activity recognition (HAR), 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—both in sensor-based
and vision-based domains. It can be considered as an excellent
treasury related to the human activity and behavior
computing.Â
This book presents the best-selected research papers presented at
the 3rd International Conference on Activity and Behavior Computing
(ABC 2021), during 20-22 October 2021. The book includes works
related to the field of vision- and sensor-based human action or
activity and behavior analysis and recognition. It covers human
activity recognition (HAR), 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-both in sensor-based and
vision-based domains. It can be considered as an excellent treasury
related to the human activity and behavior computing.
Activity recognition has emerged as a challenging and high-impact
research field, as over the past years smaller and more powerful
sensors have been introduced in wide-spread consumer devices.
Validation of techniques and algorithms requires large-scale human
activity corpuses and improved methods to recognize activities and
the contexts in which they occur. This book deals with the
challenges of designing valid and reproducible experiments, running
large-scale dataset collection campaigns, designing activity and
context recognition methods that are robust and adaptive, and
evaluating activity recognition systems in the real world with real
users.
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Modeling Decisions for Artificial Intelligence - 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings (Paperback, 1st ed. 2017)
Vicenc Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue
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R2,294
Discovery Miles 22 940
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 14th International
Conference on Modeling Decisions for Artificial Intelligence, MDAI
2017, held in Kitakyushu, Japan, in October 2017.The 18 revised
full papers presented together with one invited paper and three
abstracts of invited talks were carefully reviewed and selected
from 30 submissions. Providing a forum for researchers to discuss
models for decision and information fusion (aggregation operators)
and their applications to AI, the papers are organized in topical
sections on aggregation operators, fuzzy measures and integrals;
clustering and classication; data privacy and security; data mining
and applications.
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