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Vision-Based Human Activity Recognition / by Zhongxu Hu, Chen Lv.
- Format:
- Book
- Author/Creator:
- Hu, Zhongxu, Author.
- Lv, Chen, Author.
- Series:
- Computer Science (SpringerNature-11645)
- SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics, 2196-5498
- Language:
- English
- Subjects (All):
- Computer vision.
- User interfaces (Computer systems).
- Human-computer interaction.
- Pattern recognition systems.
- Artificial intelligence.
- Computer Vision.
- User Interfaces and Human Computer Interaction.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Local Subjects:
- Computer Vision.
- User Interfaces and Human Computer Interaction.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (X, 121 pages) : 60 illustrations, 57 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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, et cetera 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, et cetera, 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 unintrusive characteristics. 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, body activity, eye gaze, attention modeling, et cetera The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.
- Contents:
- 1. Introduction
- 2. Vision-based hand gesture recognition
- 3. Vision-based facial state recognition
- 4. Vision-based body activity recognition
- 5. Human attention modelling
- 6. Conclusion and future work.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-19-2290-9
- 9789811922909
- Access Restriction:
- Restricted for use by site license.
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