Probability, random processes, and estimation theory for engineers
Probability, random processes, and estimation theory for engineers
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Using the Experience Sampling Method to Evaluate Ubicomp Applications
IEEE Pervasive Computing
Email as spectroscopy: automated discovery of community structure within organizations
Communities and technologies
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The design of a portable kit of wireless sensors for naturalistic data collection
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Modeling human behavior from simple sensors in the home
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
The Kullback-Leibler divergence rate between Markov sources
IEEE Transactions on Information Theory
Daily Routine Classification from Mobile Phone Data
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Interaction pattern and motif mining method for doctor-patient multi-modal dialog analysis
Proceedings of the ICMI-MLMI '09 Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing
Discovering routines from large-scale human locations using probabilistic topic models
ACM Transactions on Intelligent Systems and Technology (TIST)
A multi-modal dialogue analysis method for medical interviews based on design of interaction corpus
Personal and Ubiquitous Computing
Abstract rendering of human activity in a dynamic distributed learning environment
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
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In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected in a wireless network observing a medium-sized office space populated with almost 100 people for a period of almost a year. We use a tracklet graph representation of the data in the sensor network, which allows us to efficiently evaluate gross patterns of office-wide social behavior of its occupants during expected seasonal changes in the workforce as well as unexpected social events that affect the entire population of the space. We present our experiments with a method based on Kullback-Leibler metric applied to the office activity modelled as a Markov process. Using this approach we detect gross deviations of short term office-wide behavior patterns from previous long-term patterns spanning various time intervals. We compare detected deviations to the company calendar and find and provide some quantitative analysis of the relative impact of those disruptions across a range of temporal scales. We also present a favorable comparison to results achieved by applying the same analysis to email logs.