Mobile Device Usage Recommendation based on User Context Inference Using Embedded Sensors

2020 ◽  
Author(s):  
Cong Shi ◽  
Xiaonan Guo ◽  
Ting Yu ◽  
Yingying Chen ◽  
Yucheng Xie ◽  
...  
Keyword(s):  
Mobile Device ◽  
Embedded Sensors ◽  
User Context

scholarly journals On Using Multiple Disabilities Profiles to Adapt Multimedia Documents

2020 ◽  
Vol 15 (3) ◽  
pp. 34-60
Author(s):  
Asma Saighi ◽  
Zakaria Laboudi ◽  
Philippe Roose ◽  
Sébastien Laborie ◽  
Nassira Ghoualmi-Zine
Keyword(s):  
Experimental Study ◽  
Mobile Device ◽  
Multiple Disabilities ◽  
Multimedia Content ◽  
Multimedia Documents ◽  
Physical Handicap ◽  
Multiple User ◽  
User Context ◽  
Adaptation Action ◽  
Context Constraints

Currently, advanced technological hardware can offer mobile devices which fits in the hand with a capacity to consult documents at anytime and anywhere. Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content. In this article, the authors propose a new graph-based method for adapting multimedia documents in complex situations. Each contextual situation could correspond to a physical handicap and therefore triggers an adaptation action using ontological reasoning. Consequently, when several contextual situations are identified, this leads to multiple disabilities and may give rise to inconsistency between triggered actions. Their method allows modeling relations between adaptation-actions to select the compatible triggerable ones. In order to evaluate the feasibility and the performance of their proposal, an experimental study has been made on some real scenarios. When tested and compared with some existing approaches, their proposal showed improvements according to various criteria.

scholarly journals On Using Multiple Disabilities Profiles to Adapt Multimedia Documents

2022 ◽  
pp. 173-201
Author(s):  
Asma Saighi ◽  
Zakaria Laboudi ◽  
Philippe Roose ◽  
Sébastien Laborie ◽  
Nassira Ghoualmi-Zine
Keyword(s):  
Experimental Study ◽  
Mobile Device ◽  
Multiple Disabilities ◽  
Multimedia Content ◽  
Multimedia Documents ◽  
Physical Handicap ◽  
Multiple User ◽  
User Context ◽  
Adaptation Action ◽  
Context Constraints

Currently, advanced technological hardware can offer mobile devices which fits in the hand with a capacity to consult documents at anytime and anywhere. Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content. In this article, the authors propose a new graph-based method for adapting multimedia documents in complex situations. Each contextual situation could correspond to a physical handicap and therefore triggers an adaptation action using ontological reasoning. Consequently, when several contextual situations are identified, this leads to multiple disabilities and may give rise to inconsistency between triggered actions. Their method allows modeling relations between adaptation-actions to select the compatible triggerable ones. In order to evaluate the feasibility and the performance of their proposal, an experimental study has been made on some real scenarios. When tested and compared with some existing approaches, their proposal showed improvements according to various criteria.

scholarly journals InContexto: Multisensor Architecture to Obtain People Context from Smartphones

2012 ◽  
Vol 8 (4) ◽  
pp. 758789 ◽  
Author(s):  
Gonzalo Blázquez Gil ◽  
Antonio Berlanga ◽  
José M. Molina
Keyword(s):  
Mobile Phones ◽  
Embedded Sensors ◽  
Context Information ◽  
Distributed Architecture ◽  
Sensory Data ◽  
User Context ◽  
Android Os ◽  
Made In ◽  
The Way

The way users intectact with smartphones is changing after the improvements made in their embedded sensors. Increasingly, these devices are being employed as tools to observe individuals habits. Smartphones provide a great set of embedded sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and camera. This paper aims to describe a distributed architecture, called inContexto, to recognize user context information using mobile phones. Moreover, it aims to infer physical actions performed by users such as walking, running, and still. Sensory data is collected by HTC magic application made in Android OS, and it was tested achieving about 97% of accuracy classifying five different actions (still, walking and running).

Serum and MRI Biomarkers in Mobile Device Texting: A Pilot Study

2012 ◽  
Author(s):  
Judith E. Gold ◽  
Feroze B. Mohamed ◽  
Sayed Ali ◽  
Mary F. Barbe
Keyword(s):  
Pilot Study ◽  
Mobile Device

Analisis Forensik Smartphone Android Menggunakan Metode NIST dan Tool MOBILedit Forensic Express

2020 ◽  
Vol 5 (1) ◽  
pp. 89
Author(s):  
Nasirudin Nasirudin ◽  
Sunardi Sunardi ◽  
Imam Riadi
Keyword(s):  
Mobile Device ◽  
Rapid Development ◽  
Rapid Progress ◽  
Data Backup ◽  
Technological Advances ◽  
Smartphone Technology ◽  
Case Simulation ◽  
Device Technology

Technological advances are growing rapidly, including mobile device technology, one of which is an Android smartphone that is experiencing rapid progress with a variety of features so that it can spoil its users, with the rapid development of smartphone technology, many users benefit, but many are disadvantaged by the growing smartphone. technology, so that many perpetrators or persons who commit crimes and seek profits with smartphone facilities. Case simulation by securing Samsung Galaxy A8 brand android smartphone evidence using the MOBILedit forensic express forensic tool with the National Institute of Standards and Technology (NIST) method which consists of four stages of collection, examination, analysis and reporting. The results of testing the Samsung Galaxy A8 android smartphone are carried out with the NIST method and the MOBILedit Forensic Express tool obtained by data backup, extraction and analysis so that there are findings sought for investigation and evidence of crimes committed by persons using android smartphone facilities.

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