The book presents the best-selected research papers from the 3rd International Conference on Activity and Behavior Computing (ABC 2021), covering various aspects of human activity recognition and behavior analysis. It addresses challenges and opportunities in sensor-based and vision-based domains, making it a valuable resource for researchers and practitioners in the field.

Format: Paperback / softback
Length: 264 pages
Publication date: 05 May 2023
Publisher: Springer Verlag, Singapore

The book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), held during 20–22 October 2021. The book covers a wide range of topics related to vision- and sensor-based human action or activity and behavior analysis and recognition. It includes works on 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 serves as an excellent treasury related to the human activity and behavior computing field.

Book Title: "Selected Research Papers from the 3rd International Conference on Activity and Behavior Computing (ABC 2021)"

The book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), held 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 field.

Introduction

The book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), held during 20–22 October 2021. The book covers a wide range of topics related to vision- and sensor-based human action or activity and behavior analysis and recognition. It includes works on 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 serves as an excellent treasury related to the human activity and behavior computing field.

Human Activity Recognition (HAR)

Human activity recognition (HAR) is a fundamental task in the field of human activity analysis. It involves the identification and classification of human activities based on sensor data. HAR has numerous applications in various domains, such as healthcare, transportation, and entertainment. In this book, you will find research papers that explore various aspects of HAR, including sensor selection, data preprocessing, feature extraction, classification algorithms, and evaluation metrics. Some of the key challenges addressed in HAR include the accuracy of recognition, the robustness of the system, and the energy efficiency of the sensors. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, HAR has been applied to various types of activities, including walking, running, cycling, and swimming. The research papers in this book provide insights into the latest developments in HAR and its applications.

Action Understanding

Action understanding is another important aspect of human activity analysis. It involves the interpretation and analysis of human actions to gain insights into their meaning and purpose. Action understanding can be used in various applications, such as robotics, human-computer interaction, and entertainment. In this book, you will find research papers that explore various aspects of action understanding, including gesture recognition, speech recognition, and natural language processing. Some of the key challenges addressed in action understanding include the accuracy of recognition, the robustness of the system, and the naturalness of the interaction. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, action understanding has been applied to various types of activities, including cooking, cleaning, and playing games. The research papers in this book provide insights into the latest developments in action understanding and its applications.

Gait Analysis

Gait analysis is a technique used to analyze the movement of a person's body while walking or running. It involves the measurement and analysis of various parameters, such as stride length, stride width, and foot strike. Gait analysis has numerous applications in various domains, such as healthcare, sports, and entertainment. In this book, you will find research papers that explore various aspects of gait analysis, including gait recognition, gait classification, and gait analysis in different environments. Some of the key challenges addressed in gait analysis include the accuracy of recognition, the robustness of the system, and the energy efficiency of the sensors. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, gait analysis has been applied to various types of activities, including walking, running, and dancing. The research papers in this book provide insights into the latest developments in gait analysis and its applications.

Gesture Recognition

Gesture recognition is the process of identifying and classifying human gestures. It has numerous applications in various domains, such as human-computer interaction, entertainment, and healthcare. In this book, you will find research papers that explore various aspects of gesture recognition, including hand gesture recognition, facial expression recognition, and body gesture recognition. Some of the key challenges addressed in gesture recognition include the accuracy of recognition, the robustness of the system, and the naturalness of the interaction. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, gesture recognition has been applied to various types of activities, including gaming, education, and healthcare. The research papers in this book provide insights into the latest developments in gesture recognition and its applications.

Behavior Analysis

Behavior analysis is the process of analyzing and interpreting human behavior. It involves the identification and classification of human behaviors based on sensor data. Behavior analysis has numerous applications in various domains, such as healthcare, education, and entertainment. In this book, you will find research papers that explore various aspects of behavior analysis, including emotion recognition, affective computing, and social interaction. Some of the key challenges addressed in behavior analysis include the accuracy of recognition, the robustness of the system, and the privacy of the data. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, behavior analysis has been applied to various types of activities, including social media, gaming, and education. The research papers in this book provide insights into the latest developments in behavior analysis and its applications.

Emotion Recognition

Emotion recognition is the process of identifying and classifying human emotions based on facial expressions, body language, and speech. It has numerous applications in various domains, such as healthcare, education, and entertainment. In this book, you will find research papers that explore various aspects of emotion recognition, including facial expression recognition, speech recognition, and natural language processing. Some of the key challenges addressed in emotion recognition include the accuracy of recognition, the robustness of the system, and the naturalness of the interaction. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, emotion recognition has been applied to various types of activities, including social media, gaming, and education. The research papers in this book provide insights into the latest developments in emotion recognition and its applications.

Affective Computing

Affective computing is the study of the interaction between humans and computers based on their emotions. It involves the development of algorithms and systems that can recognize, interpret, and respond to human emotions. Affective computing has numerous applications in various domains, such as healthcare, education, and entertainment. In this book, you will find research papers that explore various aspects of affective computing, including emotion recognition, affective modeling, and affective feedback. Some of the key challenges addressed in affective computing include the accuracy of recognition, the robustness of the system, and the privacy of the data. Researchers have proposed various solutions to these challenges, including machine learning algorithms, deep learning algorithms, and hybrid approaches. In addition, affective computing has been applied to various types of activities, including social media, gaming, and education. The research papers in this book provide insights into the latest developments in affective computing and its applications.

Conclusion

The book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), held during 20–22 October 2021. The book covers a wide range of topics related to vision- and sensor-based human action or activity and behavior analysis and recognition. It includes works on 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 serves as an excellent treasury related to the human activity and behavior computing field.

Dimension: 235 x 155 (mm)
ISBN-13: 9789811903632
Edition number: 1st ed. 2022