Human Activity Recognition and Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human Activity Recognition and Prediction write by Yun Fu. This book was released on 2015-12-23. Human Activity Recognition and Prediction available in PDF, EPUB and Kindle. 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. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.
Human Activity Recognition and Prediction Using RGBD Data
Human Activity Recognition and Prediction Using RGBD Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human Activity Recognition and Prediction Using RGBD Data write by Paul Coen. This book was released on 2019. Human Activity Recognition and Prediction Using RGBD Data available in PDF, EPUB and Kindle. Being able to predict and recognize human activities is an essential element for us to effectively communicate with other humans during our day to day activities. A system that is able to do this has a number of appealing applications, from assistive robotics to health care and preventative medicine. Previous work in supervised video-based human activity prediction and detection fails to capture the richness of spatiotemporal data that these activities generate. Convolutional Long short-term memory (Convolutional LSTM) networks are a useful tool in analyzing this type of data, showing good results in many other areas. This thesis’ focus is on utilizing RGB-D Data to improve human activity prediction and recognition. A modified Convolutional LSTM network is introduced to do so. Experiments are performed on the network and are compared to other models in-use as well as the current state-of-the-art system. We show that our proposed model for human activity prediction and recognition outperforms the current state-of-the-art models in the CAD-120 dataset without giving bounding frames or ground-truths about objects.
Activity Recognition and Prediction for Smart IoT Environments
Activity Recognition and Prediction for Smart IoT Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Activity Recognition and Prediction for Smart IoT Environments write by Michele Ianni. This book was released on . Activity Recognition and Prediction for Smart IoT Environments available in PDF, EPUB and Kindle.
Human Activity Recognition
Human Activity Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human Activity Recognition write by Miguel A. Labrador. This book was released on 2013-12-05. Human Activity Recognition available in PDF, EPUB and Kindle. Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today’s mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors—a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations. Developed from the authors’ nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user’s activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
Deep Learning for Time Series Forecasting
Deep Learning for Time Series Forecasting - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Time Series Forecasting write by Jason Brownlee. This book was released on 2018-08-30. Deep Learning for Time Series Forecasting available in PDF, EPUB and Kindle. Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.
