• International Workshop on

    Behavior analysis and Recognition for knowledge Discovery (BiRD 2019)

    in conjunction with the IEEE International Conference on Pervasive Computing and Communications (PerCom 2019), March 11-15, 2019 (Kyoto, Japan)

  • About

    BiRD workshop aims to provide a forum for presenting and discussing research 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).

    In addition, 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.

    Important dates

    • Workshop paper submissions: November 20, 2018 (extended!)

    • Paper notifications: December 22, 2018

    • Camera ready: January 11, 2019

    • Workshop day: Mar 11, 2019 (New!)

  • Workshop schedule (New!)

    Mar 11, 2019

    9:00 - 9:10: Opening Remarks

     

    9:10 - 10:00: Keynote

    Mining and Forecasting of Big Time-series Data
    Yasushi Sakurai (The Institute of Scientific and Industrial Research, Osaka University, Japan)

     

    10:30 - 11:30: Vision and trajectory

    Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning
    Tsubasa Hirakawa, Takayoshi Yamashita and Hironobu Fujiyoshi (Chubu University, Japan)
    Construction of a Route Choice Model for Application to a Pedestrian Flow Simulation
    Ryo Nishida (Tohoku University, Japan); Masaki Onishi (AIST, Japan); Koichi Hashimoto (Tohoku University, Japan)
    Object-based Activity Recognition Using Egocentric Video Based on Web Knowledge
    Tomoya Nakatani, Ryohei Kuga and Takuya Maekawa (Osaka University, Japan)

     

    11:30 - 12:00: Short presentations of poster papers (3 min)

     

    13:30 - 13:40: Human Behavior Challenge 2018 Ceremony

    Human Behavior Challenge Winning Solution
    Saket Kunwar (NARMA, Nepal)

     

    13:40 - 14:40: Behavior and activity

    Quantification of Aggregation and Associated Brain Areas in Drosophila Melanogaster
    Takuto Okuno, Koichi Hashimoto and Hiromu Tanimoto (Tohoku University, Japan)
    Estimating User Contexts from Mobile Application Usage Histories
    Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata and Takahiro Hara (Osaka University, Japan)
    Tracking Fluorescent Protein Transgenic Cells Using a Robot Microscope
    Toshiki Nozawa and Koichi Hashimoto (Tohoku University, Japan)

     

    15:30 - 17:30: Poster & discussion

    The Next Phase for Tracking and Predicting the Navigational Behavior Using Machine Learning
    Susumu Takahashi, Satoshi Hoshino and Kaoru Ide (Doshisha University, Japan)
    Preliminary Analysis of the Foraging Strategy of Seabirds on the Basis of Their Behavior and Physiological Cost
    Shiho Koyama, Yuichi Mizutani and Ken Yoda (Nagoya University, Japan)
    Investigation of Large-Scale Navigation Behavior of Echolocating Bats During Natural Foraging Using GPS and Acoustic-GPS Data-Loggers
    Emyo Fujioka and Genki Nakai (Doshisha University, Japan); Dai Fukui (The University of Tokyo, Japan); Ken Yoda (Nagoya University, Japan); Shizuko Hiryu (Doshisha University, Japan)
    Does Aging Change Foraging Behavior of Black-Tailed Gulls?
    Hirokazu Suzuki (Nagoya University, Japan); Yuichi Mizutani (Graduate School of Environmental Studies, Nagoya University, Japan); Akira Narita (Aomori-prefectureal Hachinohe Daiichi School for SNE, Japan); Ken Yoda (Nagoya University, Japan)
    Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System
    Shinsuke Kajioka, Takuto Sakuma and Ichiro Takeuchi (Nagoya Institute of Technology, Japan)
    Effects of Artificial Selection for Walking Movement on Reproductive Traits in the Red Flour Beetle Tribolium Castaneum
    Kentarou Matsumura and Takahisa Miyatake (Graduate School of Environmental and Life Science, Okayama University, Japan)
    Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning
    Kanon Takemura and Ken Yoda (Nagoya University, Japan); Yuichi Mizutani (Graduate School of Environmental Studies, Nagoya University, Japan); Hirokazu Suzuki and Michi Tsuruya (Nagoya University, Japan); Tsubasa Hirakawa (Chubu University, Japan)
    Recognizing Humans from Their Behavioral Patterns
    Sonia Sonia (Indian Institute of Technology Guwahati, India)

     

  • Call for papers

    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
     
  • Submission

    Authors are invited to submit full papers that are unpublished and not under review elsewhere. In addition, we solicit poster papers that mainly focus on real data and discuss experience/limitations of conventional analysis methods applied to the data.
     
    The papers for the workshops should be at most 6 pages in the IEEE template. Poster papers must be stated as such. Papers can be submitted via the following site.
     
    Each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only). For preparation of the camera ready paper, please refer to the instructions on the PerCom web site.
    Workshop papers will be included and indexed in the IEEE digital libraries (Xplore).
  • Organizers

    Takuya Maekawa (Osaka University)

    Ken Yoda (Nagoya University)

    Toru Tamaki (Hiroshima University)

    Program committee

    [Information science]

    John Krumm (Microsoft Research)

    Moustafa Youssef (E-JUST)

    Jiannong Cao (The Hong Kong Polytechnic University)

    Stephan Sigg (Aalto University)

    Ichiro Takeuchi (Nagoya Institute of Technology)

    Kazuya Murao (Ristumeikan University)

    Joseph Korpela (Osaka University)

    Teerawat Kumrai (Osaka University) 

    Daichi Amagata (Osaka University)

    Yasushi Iwatani (Hirosaki University)

    Hitoshi Habe (Kinki University)

    Keiji Yanai (The University of Electro-Communications)

    Masaki Onishi (AIST)

    Shinsuke Kajioka (Nagoya Institute of Technology)

     

    [Biology & neuroscience]

    Kotaro Kimura (Nagoya City University)

    Shizuko Hiryu (Doshisha University)

    Susumu Takahashi (Doshisha University)

    Hiroto Ogawa (Hokkaido University)

    About us: Systems Science of Bio-Navigation

    Grant-in-Aid for Scientific Research on Innovative Areas from 2016 to 2021

     

    Navigation is a fundamental behavior of animals including human. In navigation, the following three functions are required: the acquisition of dynamically-changing information from external and internal environment, the choice of route and destination based on the information, and the behavioral regulation to reach the destination. We aim for systems science of bio-navigation to understand the “algorithms” for the navigation of animals. To this end, we bring together experts from control engineering, data science, animal ecology, and neuroscience, and jointly work on how to measure, analyze, understand, and verify bio-navigation.

    Please visit our website.

  • Awards

    BEST PAPER AWARD

    • TAKUTO OKUNO, KOICHI HASHIMOTO AND HIROMU TANIMOTO, “Quantification of Aggregation and Associated Brain Areas in Drosophila Melanogaster”

    BEST STUDENT PAPER AWARD

    • TOMOYA NAKATANI, RYOHEI KUGA AND TAKUYA MAEKAWA, “Object-based Activity Recognition Using Egocentric Video Based on Web Knowledge”
    • TOSHIMITSU KAMIYA, TATSUYA NAKAMURA, TAKUYA MAEKAWA, DAICHI AMAGATA AND TAKAHIRO HARA, “Estimating User Contexts from Mobile Application Usage Histories”

    BEST POSTER AWARD

    • KENTAROU MATSUMURA AND TAKAHISA MIYATAKE, “Effects of Artificial Selection for Walking Movement on Reproductive Traits in the Red Flour Beetle Tribolium Castaneum”

    BEST STUDENT POSTER AWARD

    • HIROKAZU SUZUKI, YUICHI MIZUTANI, AKIRA NARITA, KEN YODA, “Does Aging Change Foraging Behavior of Black-Tailed Gulls?”
    • SHIHO KOYAMA, YUICHI MIZUTANI AND KEN YODA, “Preliminary Analysis of the Foraging Strategy of Seabirds on the Basis of Their Behavior and Physiological Cost”