| 书目名称 | Vision-Based Human Activity Recognition | | 编辑 | Zhongxu Hu,Chen Lv | | 视频video | | | 概述 | Sorts out the related research topics of the V-HAR systematically.Introduces the emerging deep learning approach and current progress for each V-HAR topic explicitly.Recommends the future direction of | | 丛书名称 | SpringerBriefs in Intelligent Systems | | 图书封面 |  | | 描述 | .This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusivecharacteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies..The addressed topics include hand gestures, head pose, | | 出版日期 | Book 2022 | | 关键词 | Human-Machine Interaction; Hand Pose Estimation; Hand Gesture Recognition; Head Pose Estimation; Eye Gaz | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-2290-9 | | isbn_softcover | 978-981-19-2289-3 | | isbn_ebook | 978-981-19-2290-9Series ISSN 2196-548X Series E-ISSN 2196-5498 | | issn_series | 2196-548X | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 |
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发表于 2025-3-21 17:49:00
