Development of Artificial Intelligence in Activity Recognition-Reference-Cited by-同舟云学术

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Development of Artificial Intelligence in Activity Recognition

Published:2022-08-03 Issue: Volume:7 Page:251-254
ISSN:2791-0210
Container-title:Highlights in Science, Engineering and Technology
language:
Short-container-title:HSET

Author:

Tao Shuohan

Abstract

This essay focuses on how the technology of activity recognition has developed with the development of artificial intelligence. It illustrates three major solutions in activity recognition, including sensor-based solution, visual solutions, and Wi-Fi-based solutions, and discuss the pros and cons of each of the solutions.

Publisher

Darcy & Roy Press Co. Ltd.

Reference8 articles.

1. Activity recognition. (2022). In Wikipedia. Wikimedia Foundation. https: //en.wikipedia.org/wiki/ Activity_recognition.

2. Fuller, S. H., & Millett, L. I. (2011). Chapter 10. In the Future of Computing Performance: Game Over or Next Level? National Academies Press.

3. Hao Wang. (2016). Human respiration detection with commodity wifi devices: do user location and body orientation matter? UbiComp’16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 25–36.

4. Kinect. (2022). In Wikipedia. Wikimedia Foundation. https://en.wikipedia.org/wiki/Kinect.

5. Maxwell, D. R. (1983). Graphical Marionette: A Modern-day Pinocchio [Phdthesis].

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