Shulph Ink
Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)
Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)
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- More about Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)
The book presents the best-selected research papers from the 3rd International Conference on Activity and Behavior Computing (ABC 2021), covering vision- and sensor-based human action and behavior analysis and recognition. It addresses challenges and aspects in HAR, action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing.
Format: Hardback
Length: 264 pages
Publication date: 04 May 2022
Publisher: Springer Verlag, Singapore
This comprehensive book presents a selection of the finest research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), which took place in October 2021. Spanning from October 20 to 22, 2021, the conference brought together experts from around the world to explore the cutting-edge advancements in the field of vision- and sensor-based human action and behavior analysis and recognition.
The book encompasses a wide range of topics related to human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, as well as their interconnected areas. It serves as an invaluable resource for scholars, researchers, and practitioners seeking to delve into the complexities and challenges of recognizing and understanding human activities in both sensor-based and vision-based domains.
The book addresses a diverse array of challenges and aspects related to human activity recognition. It delves into the development of robust algorithms and models that can accurately capture and interpret human actions, regardless of the complexity of the environment or the diversity of human behaviors. It also explores the use of advanced technologies, such as deep learning, computer vision, and wearable sensors, to enhance the accuracy and efficiency of human activity recognition systems.
Furthermore, the book examines the ethical and privacy implications of deploying sensor-based systems for human activity recognition. It discusses the need for robust data protection mechanisms, as well as the importance of ensuring that human activities are recorded and analyzed in a responsible and respectful manner.
In conclusion, this book serves as an excellent treasury of the latest research and developments in the field of activity and behavior computing. It provides a valuable platform for scholars, researchers, and practitioners to exchange ideas, share expertise, and collaborate toward advancing the state-of-the-art in this rapidly evolving domain.
Weight: 588g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811903601
Edition number: 1st ed. 2022
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