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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 2 Issue 1, January 2011

Introduction to the special issue on intelligent systems for activity recognition
Daqing Zhang, Matthai Philipose, Qiang Yang
Article No.: 1
DOI: 10.1145/1889681.1889682

Learning travel recommendations from user-generated GPS traces
Yu Zheng, Xing Xie
Article No.: 2
DOI: 10.1145/1889681.1889683

The advance of GPS-enabled devices allows people to record their location histories with GPS traces, which imply human behaviors and preferences related to travel. In this article, we perform two types of travel recommendations by mining multiple...

Discovering routines from large-scale human locations using probabilistic topic models
Katayoun Farrahi, Daniel Gatica-Perez
Article No.: 3
DOI: 10.1145/1889681.1889684

In this work, we discover the daily location-driven routines that are contained in a massive real-life human dataset collected by mobile phones. Our goal is the discovery and analysis of human routines that characterize both individual and group...

Probabilistic models for concurrent chatting activity recognition
Jane Yung-Jen Hsu, Chia-Chun Lian, Wan-Rong Jih
Article No.: 4
DOI: 10.1145/1889681.1889685

Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogues presents special challenges. To model the conversational dynamics...

Recognizing pair-activities by causality analysis
Yue Zhou, Bingbing Ni, Shuicheng Yan, Thomas S. Huang
Article No.: 5
DOI: 10.1145/1889681.1889686

In this article, beyond solo-activity analysis for single object, we study the more complicated pair-activity recognition problem by exploring the relationship between two active objects based on their trajectory clues obtained from video sensor....

Performance metrics for activity recognition
Jamie A. Ward, Paul Lukowicz, Hans W. Gellersen
Article No.: 6
DOI: 10.1145/1889681.1889687

In this article, we introduce and evaluate a comprehensive set of performance metrics and visualisations for continuous activity recognition (AR). We demonstrate how standard evaluation methods, often borrowed from related pattern recognition...

Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science
Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes, James A. Kitts
Article No.: 7
DOI: 10.1145/1889681.1889688

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...

FolderPredictor: Reducing the cost of reaching the right folder
Xinlong Bao, Thomas G. Dietterich
Article No.: 8
DOI: 10.1145/1889681.1889689

Helping computer users rapidly locate files in their folder hierarchies is a practical research problem involving both intelligent systems and user interface design. This article reports on FolderPredictor, a software system that can reduce the...