Drinking Behavior Detection

Title

Drinking Behavior Detection: Using both Static and Dynamic information

 Author

Teng, Xiang (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Hung, Hayley (mentor)
Cabrera Quiros, Laura (mentor)

Degree granting institution

Delft University of Technology

 Date

2019-06-18

 Abstract

This work gives a method which can use both motion and shape information for drinking action detection. Drinking action is differ from the other gestures. A complete drinking action duration could be divided into 3 different stages. Motion-based features and shape-based features are complement with each other in each stage. By using this feature, we have defined a fusion strategy that can use both the advantage of the strength of each part at a different stage.

 To reference this document use:

http://resolver.tudelft.nl/uuid:f5840f75-2786-4c67-84e6-1effbec42865

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2019 Xiang Teng
Files
PDF MSc_Thesis_Final1.pdf 896.01 KB
Close viewer