Learning Human Activity From Visual Data Using Deep Learning

Learning Human Activity From Visual Data Using Deep Learning

<p>Advances in wearable technologies have the ability to revolutionize and improve people's lives. The gains go beyond the personal sphere, encompassing business and, by extension, the global economy. The technologies are incorporated in electronic devices that collect data from consumers...

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Bibliographic Details
Main Author: Taha Alhersh (16888806) (author)
Other Authors: Heiner Stuckenschmidt (16888809) (author), Atiq Ur Rehman (8843024) (author), Samir Brahim Belhaouari (9427347) (author)
Published: 2021
Subjects:
Information and computing sciences
Computer vision and multimedia computation
Human-centred computing
Machine learning
Sensors
Visualization
Activity recognition
Feature extraction
Cameras
Optical sensors
Optical network units
Human activity recognition
Deep learning
First-person vision
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