The automatic generation of graphical user interfaces

2003 ◽  
Author(s):  
R. Gabriel
Keyword(s):  
User Interfaces ◽  
Automatic Generation ◽  
Graphical User Interfaces

Protecting User Interfaces

2017 ◽  
Author(s):  
Noam Shemtov
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
User Interfaces ◽  
Patent Protection ◽  
The United States ◽  
Graphical User Interfaces ◽  
Unfair Competition ◽  
European Patent ◽  
Intellectual Property Rights Protection

This chapter examines the scope of protection to which graphical user interfaces may be eligible under various intellectual property rights: namely, trade marks, unfair-competition laws, design rights, copyright, and patents. It first considers the extent of copyright protection over a software product’s ‘look-and-feel’ elements, with particular emphasis on graphical user interfaces protection under US and EU laws. It then discusses trade-mark, trade-dress, and unfair-competition protection for graphical user interfaces, along with intellectual property rights protection for design patents and registered designs. Finally, it describes the patent protection for graphical user interfaces in the United States and at the European Patent Office.

epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks

2020 ◽  
pp. 247263032097745
Author(s):  
Roman Bruch ◽  
Paul M. Scheikl ◽  
Ralf Mikut ◽  
Felix Loosli ◽  
Markus Reischl
Keyword(s):  
Social Interactions ◽  
User Interfaces ◽  
Particle Tracking ◽  
Group Behavior ◽  
Correction Method ◽  
Graphical User Interfaces ◽  
Study Group ◽  
Automated Tracking ◽  
User Friendly ◽  
Track Analysis

Behavioral analysis of moving animals relies on a faithful recording and track analysis to extract relevant parameters of movement. To study group behavior and social interactions, often simultaneous analyses of individuals are required. To detect social interactions, for example to identify the leader of a group as opposed to followers, one needs an error-free segmentation of individual tracks throughout time. While automated tracking algorithms exist that are quick and easy to use, inevitable errors will occur during tracking. To solve this problem, we introduce a robust algorithm called epiTracker for segmentation and tracking of multiple animals in two-dimensional (2D) videos along with an easy-to-use correction method that allows one to obtain error-free segmentation. We have implemented two graphical user interfaces to allow user-friendly control of the functions. Using six labeled 2D datasets, the effort to obtain accurate labels is quantified and compared to alternative available software solutions. Both the labeled datasets and the software are publicly available.

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