Verifying the Location of a Mobile Device User

2012 ◽  
pp. 57-68 ◽  
Author(s):  
Jack Brassil ◽  
Pratyusa K. Manadhata
Keyword(s):  
Mobile Device ◽  
Device User

Know Your World Better

2018 ◽  
pp. 777-793
Author(s):  
Srinivasa K. G. ◽  
Satvik Jagannath ◽  
Aakash Nidhi
Keyword(s):  
Information Retrieval ◽  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
Sensitive Information ◽  
Context Sensitive ◽  
Close Proximity ◽  
Augmented Reality Application ◽  
Device User

Mobile devices are changing the way people live. Users have everything on their fingertips and to support them, there are scores of application which add to the usability and comfort. “Know your world better” is an Augmented Reality application developed for Android. This application helps the user to find friends and locate places in close proximity. In this paper we talk about an application that describes a method of augmenting Point of Interests (POI's) on a mobile device. User has to move his phone pointing in a direction of his choice and POI's if any are shown in real time. The user's interest with respect to the environment is inferred from speech or by selecting from the choices; this data is used for information retrieval from the cloud. The result of context-sensitive information retrieval is augmented onto the view of the mobile and provides speech output.

Future mobile device user interfaces

2000 ◽  
Author(s):  
Satu Ruuska ◽  
Kaisa Väänänen Vainio Mattila ◽  
Matthias Schneider Hufschmidt ◽  
Bruno Von Niman
Keyword(s):  
Mobile Device ◽  
User Interfaces ◽  
Device User

scholarly journals Option of Control of Access to Information Resources Based on Implicit Authentication

2020 ◽  
Vol 24 (2) ◽  
pp. 108-121
Author(s):  
A. L. Marukhlenko ◽  
A. V. Plugatarev ◽  
M. O. Tanygin ◽  
L. O. Marukhlenko ◽  
M. Yu. Shashkov
Keyword(s):  
Mobile Device ◽  
User Authentication ◽  
Experimental Studies ◽  
Threshold Value ◽  
Mean Value ◽  
Mobile Users ◽  
Behavioral Factors ◽  
Public Data ◽  
Device User ◽  
Current Block

Purpose of research is to build a model of a system for effective authentication of mobile users based on public data of the user and his behavioral factors as well as to study algorithms for calculating the threshold value at which the authentication of a mobile device user is considered successful.Methods. When analyzing the behavioral factors of a user who needs to be authenticated when interacting with mobile devices, application of the following methods for calculating the threshold value are proposed: dynamic methods for determining the threshold value of user authentication based on the standard deviation and the calculation of the aggregate mean score; the method based on the standard when the system divides the aggregate flow of estimates into several blocks of the same length, where the first block is used for training, and the calculated threshold is used in the second block (this sequence of actions is repeated continuously, that is, the previous block provides training results for calculating the threshold for the current block); a method for calculating the aggregate mean score, where instead of using a single total score as input, the system uses the mean value of the current block, and the new calculated threshold is used as the threshold for decision making for the next block. A mathematical model that balances the speed and reliability of mobile users authentication is proposed.Results. The result of the research is the development of an effective system for calculating the threshold value of successful authentication of a mobile device user based on behavioural features which adapts to changes of the user's behavioural factors. Experimental studies and comparisons with analogs confirming the completeness and correctness were carried out as well as various variants of the proposed solutions.Conclusion. The proposed method of implicit authentication for mobile access control is easy to implement, easy to use, and adaptive to changes in input data. Options for calculating the threshold value at which implicit authentication is considered successful are also proposed. 

Know Your World Better

2016 ◽  
Vol 7 (2) ◽  
pp. 1-15
Author(s):  
Srinivasa K. G. ◽  
Satvik Jagannath ◽  
Aakash Nidhi
Keyword(s):  
Information Retrieval ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
Sensitive Information ◽  
Context Sensitive ◽  
Speech Output ◽  
Close Proximity ◽  
Augmented Reality Application ◽  
Device User

Mobile devices are changing the way people live. Users have everything on their fingertips and to support them, there are scores of application which add to the usability and comfort. “Know your world better” is an Augmented Reality application developed for Android. This application helps the user to find friends and locate places in close proximity. In this paper we talk about an application that describes a method of augmenting Point of Interests (POI's) on a mobile device. User has to move his phone pointing in a direction of his choice and POI's if any are shown in real time. The user's interest with respect to the environment is inferred from speech or by selecting from the choices; this data is used for information retrieval from the cloud. The result of context-sensitive information retrieval is augmented onto the view of the mobile and provides speech output.

scholarly journals Dc Motor Control System Through Android Application Using Arduino Nano

2021 ◽  
Vol 21 (1) ◽  
pp. 31-34
Author(s):  
A.C. Gheorghe ◽  
M. I. Matei
Keyword(s):  
Motor Control ◽  
Control System ◽  
Mobile Device ◽  
Android Application ◽  
Turn On ◽  
Dc Motor Control ◽  
Device User ◽  
Motor Control System ◽  
Control Application ◽  
Bluetooth Communication

Abstract The study aims for the development of a control system for D.C motors through an application made for Android mobile devices. The D.C motors are represented by a robot model car and the control application communicates with the system via Bluetooth technology. The Android mobile device user must install an application on his mobile device, then, the user must turn on the Bluetooth communication on the mobile device. The user can use various commands to control the robot model car such as front, back, stop, left, right. These commands are sent from the Android mobile device to the Bluetooth receiver, which is interfaced with the control system. The control system has a Bluetooth HC-06 receiver that receives commands from the control application and sends them to the Arduino Nano microcontroller to control the motors through two L298N drivers.

Advances in Region-of-Interest Video and Image Processing

2013 ◽  
pp. 76-123
Author(s):  
Dan Grois ◽  
Ofer Hadar
Keyword(s):  
Image Processing ◽  
Mobile Device ◽  
Scalable Video Coding ◽  
Region Of Interest ◽  
Video Stream ◽  
Video Content ◽  
Device User ◽  
Device Applications ◽  
Processing Techniques ◽  
To Receive

The advent of cheaper and more powerful devices with the ability to play, create, and transmit video content has led to a dramatic increase in the multimedia content distribution on both wireline and wireless networks. Also, the reduction of cost of digital video cameras along with the development of user-generated video sites (e.g., iTunes™, YouTube™) stimulated a new user-generated video content sector and made unprecedented demands for high-quality and low-delay video communication. The Region-of-Interest (ROI) is a desirable feature in many future scalable video coding applications, such as mobile device applications, which have to be adapted to be displayed on a relatively small screen; thus, a mobile device user may wish to extract and track only a predefined ROI within the displayed video. At the same time, other users having a larger mobile device screen may wish to extract other ROIs to receive higher video stream resolution. Therefore, to fulfill these requirements, it would be beneficial to simultaneously transmit or store a video stream in a variety of ROIs, as well to enable efficiently tracking of the predefined Region-of-Interest. This chapter presents recent advances in Region-of-Interest video and image processing techniques for multimedia applications, while making a special emphasis on a scalable extension of the H.264/AVC standard. The detailed observations and conclusions, which are presented in this chapter, are supported by authors’ personal experience in this field, thereby presenting a variety of experimental results.

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