BiRD 2019 - International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019)

Due to the recent advances in sensing technologies, massive amounts of activity/behavior data is being collected from humans, animals, and automobiles. For example, activity and trajectory data of humans and automobiles can be easily collected by smart devices such as smartphones. In addition, small GPS and acceleration loggers enable us to collect behavior data from animals such as birds, bears, cattle, and turtles to better understand the ecology of the animals. Furthermore, activity recognition and indoor positioning techniques using the sensor data of humans have been actively studied in the PerCom community. However, computational methods for knowledge discovery in the sensory data and/or recognized behavior data have not yet been fully explored. Moreover, many pervasive computing researchers are eager to apply their state-of-the-art techniques to actual problems and contribute to scientific discovery. However, there are few academic conferences that mainly focus on knowledge discovery techniques for behavior/activity data, making it difficult for the researchers to develop methods that are actually used/needed.
This workshop solicits papers on the recognition and understanding of behavior data collected from various sources, such as humans, animals, and automobiles, towards scientific discovery (e.g., ecology and medical science) and/or actual business applications (e.g., industry, sports, healthcare, and stockbreeding). Because the organizers of this workshop are core members of an interdisciplinary project of engineer, computer science, biology, and neuroscience on behavior understanding (http://navi-science.org/english/) and one of the organizers is a biologist specialized in seabirds, we plan to invite biologists and neuroscientists who have collected and analyzed behavior data of various animals. While the biologists and neuroscientists have massive amounts of behavior data, they have limited knowledge on state-of-the-art behavior analysis techniques. Therefore, this workshop provides a good opportunity for the PerCom researchers to apply the developed state-of-the-art methods to actual problems. The topics of interest include, but are not limited to:
Data mining methods for behavior/activity data
Trajectory mining
Modeling behavior/activity
Behavior/activity data collection for scientific discovery and/or actual business
Data preparation and labeling for scientific discovery and/or actual business
Knowledge extraction from massive amounts of behavior/activity data
Behavior/activity monitoring and recognition systems for scientific discovery and/or actual business
Applications of activity recognition and/or indoor/outdoor localization
State-of-the-art indoor/outdoor localization techniques
State-of-the-art behavior/activity recognition and understanding techniques
Visualization of behavior/activity data for knowledge discovery