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BEYOND REALITY

Eduardo Cuervo
2017 GetMobile Mobile Computing and Communications  
There are plenty of open challenges in wireless networking, cloud computing, security, and privacy, as well as opportunities to create novel applications. Photo,  ...  Head-Mounted Displays (HMDs) have finally reached the point where they can comfortably and affordably transport people to virtual worlds or transform their physical reality by feeding timely information  ...  Acknowledgements My work with virtual and mixed reality wouldn't have been possible without the brilliant contributions and talent of many colleagues, including Bernhard Reinert, Kevin Boos, Tan  ... 
doi:10.1145/3131214.3131218 fatcat:2z2x7wrjnvfepdmakbukmvotgq

Mobile Systems Research with Drones

Luca Mottola, Kamin Whitehouse
2017 GetMobile Mobile Computing and Communications  
This paper provides an overview specifically for researchers who want to explore the mobile computing challenges made available by drones, such as reliability, energy management, mobile communication,  ...  Robot vehicle platforms, often called "drones", offer exciting new opportunities for mobile computing.  ...  (SHELL) of the Italian Ministry for University and Research.  ... 
doi:10.1145/3081016.3081024 fatcat:ynp6escqzfbtjdimgg2kq5v2pi

uLink

Tanzirul Azim, Oriana Riva, Suman Nath
2017 GetMobile Mobile Computing and Communications  
October 2016 | Volume 20, Issue 4 GetMobile GetMobile October 2016 | Volume 20, Issue 4 Photo, istockphoto.com October 2016 | Volume 20, Issue 4 GetMobile  ...  Her research interests revolve around mobile systems, including the programming abstractions, developer tools and cloud infrastructures required to expand their role in the computing world.  ... 
doi:10.1145/3081016.3081028 fatcat:3e6duzciqvevngtxf4qz52wzfi

Indoor Localiza tion

Paramvir Bahl
2015 GetMobile Mobile Computing and Communications  
I drew from these and developed a modified self-learning Kalman filter to predict the next state space, which included the position and speed of the mobile.  ...  No one would argue with this assertion, yet after more than 15 years of research, there are no pervasive products and the research community continues to work on this problem. Why?  ... 
doi:10.1145/2786984.2786993 fatcat:445qz5jo7ze6llh7teaukg5diy

EkhoNet

Pengyu Zhang, Pan Hu, Vijay Pasikanti, Deepak Ganesan
2015 GetMobile Mobile Computing and Communications  
Backscatter reader Sensor Backscatter communication Backscatter is extremely efficient because the device is reflecting the signal rather than generating a signal.  ...  Thus, the crux of our argument is the following: backscatter drives down the optimal cross-over point between computation vs communication, such that communication of raw data may be preferable to computation  ...  Figure 2 : 2 1 bit adder and 1 bit shift register circuit. Figure 3 : 3 Computational blocks on exis backscatter-based sensors.  ... 
doi:10.1145/2817761.2817766 fatcat:ghmiwstexbcqjgmzbvpzrulnsi

SmartGPA

Rui Wang, Peilin Hao, Xia Zhou, Andrew T. Campbell, Gabriella Harari
2016 GetMobile Mobile Computing and Communications  
, conversational interaction, mobility, class attendance, studying, and partying.  ...  The SmartGPA study uses passive sensing data and self-reports from students' smartphones to understand individual behavioral differences between high and low performers during a single 10-week term.  ...  RELATED WORK In the computer science community, many efforts have been made to predict grades from students' self-report data and e-learning behaviors using various machine learning models.  ... 
doi:10.1145/2904337.2904343 fatcat:clcib7szjbfl3ajhqb75ykpbwq

BodyBeat

Tauhidur Rahman, Alexander T. Adams, Mi Zhang, Erin Cherry, Tanzeem Choudhury
2015 GetMobile Mobile Computing and Communications  
The BodyBeat mobile sensing system consists of a custom-built piezoelectric microphone and a distributed computational framework that utilizes an ARM microcontroller and an Android smartphone.  ...  Some studies aim to solve the problem with a camera and computer vision algorithms while some studies resort to online crowdsourcing platform (e.g. PlateMate [7] ).  ... 
doi:10.1145/2786984.2786989 fatcat:twd7ne2osjfypksrni5xggogyi

Datasets for Mobile, Wearable and IOT Research

Reza Rawassizadeh, David Kotz
2017 GetMobile Mobile Computing and Communications  
Acknowledgement We appreciate Tristan Henderson and Aruna Balasubramanian's useful hints, feedback and dataset links that significantly enriched the quality of this paper.  ...  SUMMARY In short, there are a variety of public datasets that can benefit the Ubicomp and Mobile Computing community.  ...  and communication capabilities has led to the proliferation of computing paradigms, such as the Internet of Things (IoT), mobile devices, and wearable technologies.  ... 
doi:10.1145/3081016.3081018 fatcat:cshzgupztzbb5nxkxskjuxs37m

EARP

Yuanzhong Xu, Tyler Hunt, Youngjin Kwon, Martin Georgiev, Vitaly Shmatikov, Emmett Witchel
2017 GetMobile Mobile Computing and Communications  
Modern mobile apps need to store and share structured data, but the coarse-grained access-control mechanisms in existing mobile operating systems are inadequate to help apps express and enforce their protection  ...  We design, implement, and evaluate a prototype of Earp, a new mobile platform that uses the relational model as the unified OS-level abstraction for both storage and inter-app services.  ...  This work was partially supported by NSF grants CNS-1223396 and 140894 and the NIH grant R01 LM011028-01.  ... 
doi:10.1145/3036699.3036709 fatcat:uofueq2xsnapress7f36fvi6fq

Interpretable Machine Learning for Mobile Notification Management

Abhinav Mehrotra, Robert Hendley, Mirco Musolesi
2017 GetMobile Mobile Computing and Communications  
Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner Today's mobile phones are highly personal devices characterized by always--on connectivity and high--speed data  ...  Most of the previous studies propose interruptibility management systems that leverage the concept of anticipatory computing [8] to predict opportune moments by using context [9] and content [6] .  ... 
doi:10.1145/3131214.3131225 fatcat:eesgyd5vbrcbrkrj3zvpby4h4a

PowerForecaster

Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Inseok Hwang, Junehwa Song
2016 GetMobile Mobile Computing and Communications  
His research interests include mobile and ubiquitous computing, mobile sensing systems, and IoT. Hwang received a PhD in computer science from KAIST.  ...  His research interests include mobile and pervasive computing systems, mobile sensing and context monitoring, human computer interaction, and IoT. Yoo is pursuing a PhD at KAIST.  ... 
doi:10.1145/2972413.2972424 fatcat:ajl2us5cabbodemdedex7g4774

PASSIVE WI-FI

Bryce Kellogg, Vamsi Talla, Joshua R. Smith, Shyamnath Gollakot
2017 GetMobile Mobile Computing and Communications  
Passive Wi-Fi transmissions can be decoded on any Wi-Fi device including routers, mobile phones and tablets.  ...  Wi-Fi has traditionally been considered a power-consuming communication system and has not been widely adopting in the sensor network and IoT space.  ...  We thank Ben Ransford and our shepherd Jon Howell. This work was funded in part by NSF under awards CNS-1452494 and CNS-1407583 and a Qualcomm fellowship.  ... 
doi:10.1145/3036699.3036711 fatcat:eju2x6vj4zakdhmxj2pnnbnzbu

eMergence of the iot gateWaY platforM

Prabal Dutta, Iqbal Mohomed
2015 GetMobile Mobile Computing and Communications  
Second, limited operating system support for crossapplication communications makes deviceto-device data sharing and orchestration diffi cult to achieve, even when mobile apps have been pre-installed.  ...  user mobility?  ... 
doi:10.1145/2867070.2867084 fatcat:ofbqt7zsgrcxlf5en4tzdxkhjq

Practical Human Sensing in the Light

Tianxing Li, Qiang Liu, Xia Zhou
2017 GetMobile Mobile Computing and Communications  
StarLight enables a new unobtrusive sensing paradigm to augment today's mobile sensing for continuous and accurate behavioral monitoring.  ...  Experiments show that StarLight achieves 13.6 • mean angular error for five body joints and reconstructs a mobile skeleton at a high frame rate (40 FPS).  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the funding agencies or others.  ... 
doi:10.1145/3081016.3081027 fatcat:5cdzvlpnbnffxiaxvbynhcaqj4

Scikit-learn

G. Varoquaux, L. Buitinck, G. Louppe, O. Grisel, F. Pedregosa, A. Mueller
2015 GetMobile Mobile Computing and Communications  
and computer science.  ...  Finally, support for mobile platforms such as Android is determined by those platforms' support for Python and the standard C/C++ build chain.  ... 
doi:10.1145/2786984.2786995 fatcat:rt5h6ei55vdy5c4gzsb4xbqtqe
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