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Displaying 1-23 out of 23 total
Cooperative Communities (CoCo): Exploiting Social Networks for Large-scale Modeling of Human Behavior
Found in: IEEE Pervasive Computing
By Nicholas Lane,Ye Xu,Hong Lu,Shane Eisenman,Tanzeem Choudhury,Andrew Campbell
Publication Date: September 2011
pp. N/A
Human behavior modeling at a large-scale and under real-world conditions is still an open problem. Existing classification models do not always perform well on a diverse population. Training personalized models that incorporate different contextual conditi...
Sensing and Modeling Human Networks using the Sociometer
Found in: Wearable Computers, IEEE International Symposium
By Tanzeem Choudhury, Alex Pentland
Issue Date:October 2003
pp. 216
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applications. We are developing methods to automatically and unobtrusively learn the so...
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Found in: Pattern Recognition, International Conference on
By Tanzeem Choudhury, James M. Rehg, Vladimir Pavlović, Alex Pentland
Issue Date:August 2002
pp. 30789
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with efficient algorithms for inference and learning. Earlier work has demonstrated that boosted parameter learning could be used to ...
Learning Your Life: Wearables and Familiars
Found in: Development and Learning, International Conference on
By Brian Clarkson, Sumit Basu, Nathan Eagle, Tanzeem Choudhury, Alex Pentland
Issue Date:June 2002
pp. 0235
The wearable platform is an important perspective from which to collect developmental data. While not an agent of its own accord, it is like the mythical
Face Recognition for Smart Environments
Found in: Computer
By Alex (Sandy) Pentland, Tanzeem Choudhury
Issue Date:February 2000
pp. 50-55
<p>Smart environments, wearable computers, and ubiquitous computing in general are the coming
From Smart to Cognitive Phones
Found in: IEEE Pervasive Computing
By Andrew Campbell,Tanzeem Choudhury
Issue Date:July 2012
pp. 7-11
As smartphones get smarter by pushing intelligence to the phone and computing cloud, they'll start to understand our life patterns, reason about our health and wellbeing, help us navigate our day, and intervene on our behalf. Here, the authors present vari...
Exploiting Social Networks for Large-Scale Human Behavior Modeling
Found in: IEEE Pervasive Computing
By Nicholas D. Lane,Ye Xu,Hong Lu,Andrew T. Campbell,Tanzeem Choudhury,Shane B. Eisenman
Issue Date:October 2011
pp. 45-53
The Cooperative Communities (CoCo) learning framework leverages everyday social connections between people to personalize classification models. By exploiting social networks, CoCo spreads the burden of providing training data over an entire community.
Beyond Context Awareness
Found in: IEEE Pervasive Computing
By Paul Lukowicz,Tanzeem Choudhury,Hans Gellersen
Issue Date:October 2011
pp. 15-17
Much of the past pervasive computing research has been devoted to systems composed of a small number of devices that interact with a single individual or a small group of users. Body-worn sensors and sensors embedded in the user's environment were used to ...
A Scalable Approach to Activity Recognition based on Object Use
Found in: Computer Vision, IEEE International Conference on
By Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg
Issue Date:October 2007
pp. 1-8
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where many activities involve similar actions, object-use information can be a valua...
Motion Field Histograms for Robust Modeling of Facial Expressions
Found in: Pattern Recognition, International Conference on
By Tanzeem Choudhury, Alex Pentland
Issue Date:September 2000
pp. 2929
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Features are based on local receptive field histograms, which are robust against errors in rotation, translation and scale changes during image...
Technology Development for Building Flexible Silicon Functional Fibres
Found in: Wearable Computers, IEEE International Symposium
By Tanzeem Choudhury, Alex Pentland
Issue Date:October 2003
pp. 210
Most of everyday clothing consists of textile fibres woven together to produce a fabric.Their primary purpose is structural and aesthetic. Fibres can have added functionality by the integration of computing power into the material that forms them. The purp...
MoodRhythm: tracking and supporting daily rhythms
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Donald Hu, Ellen Frank, Geri Gay, John Weinrich, Mark Matthews, Mashfiqui Rabbi, Matthew Green, Mengxi (Chrissie) Xi, Prashama Patil, Saeed Abdullah, Stephen Voida, Tanzeem Choudhury, Tauhidur Rahman, Won Jun Jang
Issue Date:September 2013
pp. 67-70
Rhythms guide our lives. Our biological clocks tell us when we need to sleep, eat and wake. But our use of technology can interrupt and obstruct these rhythms, making it difficult for our bodies to get what they need to stay healthy and balanced. Our MoodR...
Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Andrew Campbell, Giuseppe Cardone, Hong Lu, Mu Lin, Nicholas Lane, Tanzeem Choudhury, Ye Xu, Zhenyu Chen
Issue Date:September 2013
pp. 69-76
Reliable smartphone app prediction can strongly benefit both users and phone system performance alike. However, real-world smartphone app usage behavior is a complex phenomena driven by a number of competing factors. In this pa- per, we develop an app usag...
StressSense: detecting stress in unconstrained acoustic environments using smartphones
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Andrew T. Campbell, Daniel Gatica-Perez, Denise Frauendorfer, Gokul T. Chittaranjan, Hong Lu, Marianne Schmid Mast, Mashfiqui Rabbi, Tanzeem Choudhury
Issue Date:September 2012
pp. 351-360
Stress can have long term adverse effects on individuals' physical and mental well-being. Changes in the speech production process is one of many physiological changes that happen during stress. Microphones, embedded in mobile phones and carried ubiquitous...
Mobile sensing: challenges, opportunities and future directions
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Feng Zhao, Nicholas D. Lane, Tanzeem Choudhury
Issue Date:September 2011
pp. 637-638
The emerging field of mobile sensing has engaged computer scientists from a variety of existing communities, such as, mobile systems, machine learning and human computer interaction. Each community approaches the challenges of mobile sensing research with ...
Passive and In-Situ assessment of mental and physical well-being using mobile sensors
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Ethan Berke, Mashfiqui Rabbi, Shahid Ali, Tanzeem Choudhury
Issue Date:September 2011
pp. 385-394
The idea of continuously monitoring well-being using mobile-sensing systems is gaining popularity. In-situ measurement of human behavior has the potential to overcome the short comings of gold-standard surveys that have been used for decades by the medical...
Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Andrew T. Campbell, Feng Zhao, Hong Lu, Nicholas D. Lane, Shaohan Hu, Tanzeem Choudhury, Ye Xu
Issue Date:September 2011
pp. 355-364
Sensor-enabled smartphones are opening a new frontier in the development of mobile sensing applications. The recognition of human activities and context from sensor-data using classification models underpins these emerging applications. However, convention...
Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Danny Wyatt, James A. Kitts, Jeff Bilmes, Tanzeem Choudhury
Issue Date:January 2011
pp. 1-41
New technologies have made it possible to collect information about social networks as they are acted and observed in the wild, instead of as they are reported in retrospective surveys. These technologies offer opportunities to address many new research qu...
The Jigsaw continuous sensing engine for mobile phone applications
Found in: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys '10)
By Andrew T. Campbell, Hong Lu, Jun Yang, Nicholas D. Lane, Tanzeem Choudhury, Zhigang Liu
Issue Date:November 2010
pp. 71-84
Supporting continuous sensing applications on mobile phones is challenging because of the resource demands of long-term sensing, inference and communication algorithms. We present the design, implementation and evaluation of the Jigsaw continuous sensing e...
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
Found in: Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld '10)
By Andrew Campbell, Hong Lu, Mashfiqui Rabbi, Matthew K. Mukerjee, Rajeev D.S. Raizada, Shaohan Hu, Tanzeem Choudhury
Issue Date:August 2010
pp. 3-8
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control mobile phones for hands-free, silent and effortless human-mobile interaction. Until recently, devices for detecting neural signals have been costly, bulky an...
Activity-aware ECG-based patient authentication for remote health monitoring
Found in: Proceedings of the 2009 international conference on Multimodal interfaces (ICMI-MLMI '09)
By David Kotz, Janani C. Sriram, Minho Shin, Tanzeem Choudhury
Issue Date:November 2009
pp. 297-304
Mobile medical sensors promise to provide an efficient, accurate, and economic way to monitor patients' health outside the hospital. Patient authentication is a necessary security requirement in remote health monitoring scenarios. The monitoring system nee...
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Found in: Proceedings of the 7th international conference on Mobile systems, applications, and services (Mobisys '09)
By Andrew T. Campbell, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Wei Pan
Issue Date:June 2009
pp. 1-2
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sensing applications. Perhaps the most ubiquitous and unexploited sensor on mobi...
Towards the automated social analysis of situated speech data
Found in: Proceedings of the 10th international conference on Ubiquitous computing (UbiComp '08)
By Danny Wyatt, James A. Kitts, Jeff Bilmes, Tanzeem Choudhury
Issue Date:September 2008
pp. N/A
We present an automated approach for studying fine-grained details of social interaction and relationships. Specifically, we analyze the conversational characteristics of a group of 24 individuals over a six-month period, explore the relationship between c...