Motion Tracking And Gesture Recognition
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Motion Tracking and Gesture Recognition
Author: Carlos Travieso-Gonzalez
language: en
Publisher: BoD – Books on Demand
Release Date: 2017-07-12
Nowadays, the technological advances allow developing many applications on different fields. In this book Motion Tracking and Gesture Recognition, two important fields are shown. Motion tracking is observed by a hand-tracking system for surgical training, an approach based on detection of dangerous situation by the prediction of moving objects, an approach based on human motion detection results and preliminary environmental information to build a long-term context model to describe and predict human activities, and a review about multispeaker tracking on different modalities. On the other hand, gesture recognition is shown by a gait recognition approach using Kinect sensor, a study of different methodologies for studying gesture recognition on depth images, and a review about human action recognition and the details about a particular technique based on a sensor of visible range and with depth information.
Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)
Author: Tutut Herawan
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-12-14
The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence
Predictive Algorithms for Rehabilitation and Assistive Systems
Author: Korupalli, V. Rajesh Kumar
language: en
Publisher: IGI Global
Release Date: 2025-05-21
Advances in predictive algorithms have been integrated into the development and optimization of rehabilitation and assistive technologies. When applied, predictive algorithms, as well as machine learning (ML) models and data analytics, have the potential to create personalized rehabilitation programs and devices. They are important for enhancing the rehabilitation process and improving patient outcomes. As a result, predictive analytics are crucial to advancing healthcare solutions and the field of biomedical engineering. Predictive Algorithms for Rehabilitation and Assistive Systems provides valuable insights into how data-driven approaches can enhance the efficacy of rehabilitation processes, improve patient outcomes, and foster innovation in assistive technology development. Covering topics such as response patterns, maladaptive pain perception, and disease prediction, this book is an excellent resource for biomedical engineers, medical practitioners, policymakers, professionals, researchers, scholars, academicians, and more.