Mandos: A User Interaction Method in Embedded Applications for Mobile Telephony

2008 ◽  
Author(s):  
Mauro Teofilo ◽  
Lucas Cordeiro ◽  
Raimundo Barreto ◽  
Jose Raimundo Pereira ◽  
Ayres Mardem ◽  
...  
Keyword(s):  
User Interaction ◽  
Mobile Telephony ◽  
Interaction Method ◽  
Embedded Applications

An intuitive user interaction method using multi-sensors for pencil drawing filter of NPR rendering in mobile devices

2015 ◽  
Vol 74 (7) ◽  
pp. 2371-2389
Author(s):  
Jong-Jin Jung ◽  
Ji-Yeon Kim ◽  
Hyun-Sook Chung ◽  
Pan-Seop Shin
Keyword(s):  
Mobile Devices ◽  
User Interaction ◽  
Interaction Method ◽  
Pencil Drawing

Multi-modal user interaction method based on gaze tracking and gesture recognition

2013 ◽  
Vol 28 (2) ◽  
pp. 114-126 ◽  
Author(s):  
Heekyung Lee ◽  
Seong Yong Lim ◽  
Injae Lee ◽  
Jihun Cha ◽  
Dong-Chan Cho ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
User Interaction ◽  
Interaction Method ◽  
Gaze Tracking

An Automatic Interaction Method Using Part Recognition Based on Deep Network for Augmented Reality Assembly Guidance

2018 ◽  
Author(s):  
Xuyue Yin ◽  
Xiumin Fan ◽  
Jiajie Wang ◽  
Rui Liu ◽  
Qiang Wang
Keyword(s):  
Neural Network ◽  
Augmented Reality ◽  
Real Time ◽  
Deep Neural Network ◽  
Back Propagation ◽  
User Interaction ◽  
Guidance System ◽  
Assembly Process ◽  
Interaction Method ◽  
Assembly Guidance

Assembly process of complex electromechanical products can be quite complicated and time consuming because of high quality demands. Aiming at improving the efficiency of the manual assembly process, this paper proposes an automatic interaction method using part recognition for augmented reality (AR) assembly guidance, which improves both the accuracy of part picking and the interaction efficiency of AR guidance system. Taking sample images of similar parts as input and part types as output, a deep neural network model Part R-CNN for part recognition is build based on Faster R-CNN and is further fine-tuned by back propagation. By recognizing the assembly part, the augmented assembly guidance information of the corresponding parts assembly process is triggered in real-time without direct user interaction. Experimental results show that the deep neural network based part recognition method reaches 94% on mean average precision and the average recognition speed is 200ms per image frame. The average speed of AR guidance content triggering is about 20fps. All system performance satisfies the accuracy and real-time requirements of the AR-aided assembly system.

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

An Inertial Device-based User Interaction with Occlusion-free Object Handling in a Handheld Augmented Reality

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Goh Eg Su ◽  
◽  
Mohd Sharizal Sunar ◽  
Rino Andias ◽  
Ajune Wanis Ismail ◽  
...  
Keyword(s):  
Augmented Reality ◽  
User Interaction ◽  
Free Object
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