Human Activity Recognition Challenge, Ahad Atiqur Rahman, Lago Paula, Inoue Sozo
Автор: Ahad MD Atiqur Rahman, Lago Paula, Inoue Sozo Название: Human Activity Recognition Challenge ISBN: 9811582688 ISBN-13(EAN): 9789811582684 Издательство: Springer Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Jorge Luis Reyes Ortiz Название: Smartphone-Based Human Activity Recognition ISBN: 3319142739 ISBN-13(EAN): 9783319142739 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book reports on the author`s original work to address the use of today`s state-of-the-art smartphones for human physical activity recognition.
Автор: Yun Fu Название: Human Activity Recognition and Prediction ISBN: 3319270028 ISBN-13(EAN): 9783319270029 Издательство: Springer Рейтинг: Цена: 9756.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos.
Автор: Jorge Luis Reyes Ortiz Название: Smartphone-Based Human Activity Recognition ISBN: 3319367706 ISBN-13(EAN): 9783319367705 Издательство: Springer Рейтинг: Цена: 12537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book reports on the author`s original work to address the use of today`s state-of-the-art smartphones for human physical activity recognition.
Описание: This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021.
Автор: Ahad, Md Atiqur Rahman, Antar, Anindya Das, Ahmed, Название: IoT Sensor-Based Activity Recognition ISBN: 3030513785 ISBN-13(EAN): 9783030513788 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems.
Автор: Liming Chen; Chris D. Nugent; Jit Biswas; Jesse Ho Название: Activity Recognition in Pervasive Intelligent Environments ISBN: 9491216406 ISBN-13(EAN): 9789491216404 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation.
Автор: Bir Bhanu; Ju Han Название: Human Recognition at a Distance in Video ISBN: 1447126041 ISBN-13(EAN): 9781447126041 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive reference addresses the fundamental problems associated with gait and face-based human recognition, using color and infrared video data acquired from a distance. Both model-free and model-based approaches to gait-based human recognition are examined, including new techniques.
Автор: Guesgen & Marsland Название: Human Behavior Recognition Technologies ISBN: 1466636823 ISBN-13(EAN): 9781466636828 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recently, the ICT field has seen a shift from machine centered focuses to human and user knowledge-based approaches. However, as the priorities shift, questions arise on how to detect and monitor users’ behaviour. <br><br><em>Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security</em> addresses these questions and more as it takes an insightful glance into the applications and dependability of behaviour detection. In addition, this comprehensive publication looks into the social, ethical, and legal implications of these areas. Researchers and practitioners interested in the computational aspects of behaviour monitoring as well as the ethical and legal implications will find this reference source beneficial.
Автор: Honghai Liu; Zhaojie Ju; Xiaofei Ji; Chee Seng Cha Название: Human Motion Sensing and Recognition ISBN: 3662536900 ISBN-13(EAN): 9783662536902 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.- Fuzzy Qualitative Trigonometry.- Fuzzy Qualitative Robot Kinematics.- Fuzzy Qualitative Human Motion Analysis.- Fuzzy Gaussian Mixture Models.- Fuzzy Empirical Copula for Estimating Data Dependence Structure.- A Unified Fuzzy Framework for Human Hand Motion Recognition.- Human Hand Motion Analysis with Multisensory Information.- A Novel Approach to Extract Hand Gesture Feature in Depth Images.- Recognizing Constrained 3D Human Motion: An Inference Approach.- Study of Human Action Recognition Based on Improved Spatio-temporal Features.- A View-invariant Action Recognition based on Multi-view Space Hidden Markov Models.
Описание: Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security.- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes.- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data.- Fusion Architectures for Multimodal Cognitive Load Recognition.- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD.- Performance analysis of gesture recognition classifiers for building a human robot interface.- On Automatic Question Answering Using Efficient Primal-dual Models.- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition.- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks.- Audio-Visual Recognition of Pain Intensity.- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System.- Photometric Stereo for 3D face reconstruction using non linear illumination models.- Recursively Measured Action Units.
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