Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities

Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities

The mission of the research presented in this thesis is to give computers the power to sense and react to human activities. Without the ability to sense the surroundings and understand what humans are doing, computers will not be able to provide active, timely, appropriate, and considerate services...

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Bibliographic Details
Main Author: Cheng, Heng-Tze
Format: Others
Published: Research Showcase @ CMU 2013
Subjects:
Activity recognition
machine learning
zero-shot learning
active learning
semantic attributes
feature extraction
probabilistic graphical models
context-aware systems
ubiquitous computing
mobile computing
user behavior modeling
sensor data analysis
artificial intelligence
Electrical and Computer Engineering
Online Access:http://repository.cmu.edu/dissertations/293
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1283&context=dissertations

Internet

http://repository.cmu.edu/dissertations/293
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1283&context=dissertations

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