Research on Integrated Application of Multi-Display Technology in the Mobile Terminal

2014 ◽  
Vol 989-994 ◽  
pp. 3411-3414
Author(s):  
Xiao Meng Mao ◽  
Jin Gao Liu
Keyword(s):  
Mobile Devices ◽  
Mobile Terminal ◽  
Development Stage ◽  
Paper Analysis ◽  
The Other ◽  
3D Display ◽  
Human Machine Interaction ◽  
Display Devices ◽  
Display Technology ◽  
Machine Interaction

Nowadays, the mobile display devices have become the most significant section of the mobile terminal. During nearly a decade development, lots of display technologies have been maturely applied in the mobile terminal instrument. This paper analysis the integrated application of several display technology utilized in mobile devices according to their characteristics, and predict the tendency of their development in the rapidly development stage of 3D display. Mobile terminal has become the mainstream of IT equipment, including intelligent mobile phone, pad computer and so on which is at a rapidly developing stage. On the other hand, currently technology on human machine interaction is concentrated in display devices, touch screen for instance.

scholarly journals Interpassivity and the Joy of Delegated Play in Idle Games

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Sonia Fizek
Keyword(s):  
Video Games ◽  
Digital Games ◽  
The Self ◽  
Game Studies ◽  
The Other ◽  
Current Understanding ◽  
Human Machine Interaction ◽  
Alternative Perspective ◽  
Other Hand ◽  
Machine Interaction

This paper examines the youngest video games genre, the so called idle (incremental) game, also referred to as the passive, self-playing or clicker game, which seems to challenge the current understanding of digital games as systems, based on a human-machine interaction where it is the human who actively engages with the system through meaningful choices. Idle games, on the other hand, tend to play themselves, making the player’s participation optional or, in some cases, entirely redundant. Interactivity and agency – qualities extensively theorised with reference to digital games – are questioned in the context of idling. In this paper the author will investigate the self-contradictory genre through the lens of interpassivity, a concept developed by Robert Pfaller and Slavoj Žižek to describe the aesthetics of delegated enjoyment. This contribution aims at introducing interpassivity to a wider Game Studies community, and offers an alternative perspective to reflect upon digital games in general and self-playing games in particular.

scholarly journals Emotion based human-robot interaction

2018 ◽  
Vol 161 ◽  
pp. 01001 ◽  
Author(s):  
Karsten Berns ◽  
Zuhair Zafar
Keyword(s):  
Humanoid Robot ◽  
Humanoid Robots ◽  
Verbal Communication ◽  
Human Robot Interaction ◽  
The Other ◽  
Robot Interaction ◽  
Human Machine Interaction ◽  
Verbal Cues ◽  
Perception System ◽  
Machine Interaction

Human-machine interaction is a major challenge in the development of complex humanoid robots. In addition to verbal communication the use of non-verbal cues such as hand, arm and body gestures or mimics can improve the understanding of the intention of the robot. On the other hand, by perceiving such mechanisms of a human in a typical interaction scenario the humanoid robot can adapt its interaction skills in a better way. In this work, the perception system of two social robots, ROMAN and ROBIN of the RRLAB of the TU Kaiserslautern, is presented in the range of human-robot interaction.

XML-based man-machine interaction engine for mobile devices

2010 ◽  
Vol 30 (9) ◽  
pp. 2362-2364
Author(s):  
Bao-wei WANG ◽  
Bo SHEN ◽  
Rong CHEN
Keyword(s):  
Mobile Devices ◽  
Machine Interaction

Concise CNN model for face expression recognition

2021 ◽  
pp. 1-9
Author(s):  
Harshadkumar B. Prajapati ◽  
Ankit S. Vyas ◽  
Vipul K. Dabhi
Keyword(s):  
Network Architecture ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Face Expression ◽  
Computational Overhead ◽  
Average Accuracy ◽  
Proposed Model ◽  
Face Expression Recognition ◽  
Expression Classification ◽  
Machine Interaction

Face expression recognition (FER) has gained very much attraction to researchers in the field of computer vision because of its major usefulness in security, robotics, and HMI (Human-Machine Interaction) systems. We propose a CNN (Convolutional Neural Network) architecture to address FER. To show the effectiveness of the proposed model, we evaluate the performance of the model on JAFFE dataset. We derive a concise CNN architecture to address the issue of expression classification. Objective of various experiments is to achieve convincing performance by reducing computational overhead. The proposed CNN model is very compact as compared to other state-of-the-art models. We could achieve highest accuracy of 97.10% and average accuracy of 90.43% for top 10 best runs without any pre-processing methods applied, which justifies the effectiveness of our model. Furthermore, we have also included visualization of CNN layers to observe the learning of CNN.

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