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Home / Proceedings / Papers from the 2012 AAAI Spring Symposium /

No. 5: Self-Tracking and Collective Intelligence for Personal Wellness

All Papers

  • Design Probes into Nutrigenomics: From Data to User Experiences

    Denisa Kera

    PDF
  • A Study on Twitter Usage for Fitness Self-Reporting via Mobile Apps

    Theodore A Vickey, John G. Breslin

    PDF
  • Exploring Individual Care Plan for a Good Sleep

    Keiki Takadama

    PDF
  • DIYgenomics Crowdsourced Health Research Studies: Personal wellness and Preventive Medicine through Collective Intelligence

    Melanie Swan

    PDF
  • Collective Views of the Workings and Significance of Experiences

    Yukiko Shiki

    PDF
  • Age-Based Sleep Stage Estimation by Evolutionary Algorithm

    Hiroyasu Matsushima, Shogo Minami, Keiki Takadama

    PDF
  • Knowledge Infrastructure for Knowledge Sharing among Patients, Doctors and Researchers

    Tetsuya Maeshiro, Shin-ichi Nakayama, Yuri Ozawa

    PDF
  • TrackIt: A Team-Based Application for Health and Wellness Monitoring

    Jason Loewy, Yu-Han Chang, Rajiv Maheswaran

    PDF
  • Self-Tracking Mindfulness Incorporating a Personal Genome

    Takashi Kido

    PDF
  • Brain Structure and Individual Differences in Social Behaviors

    Ryota Kanai

    PDF
  • Frequency-Based Sleep Stage Detections by Single EEG Derivation in Healthy Human Subjects

    Nobuhide Hirai, Seiji Nishino

    PDF
  • Phone in the Pocket: Pervasive Self-Tracking of Physical Activity Levels

    Jody Hausmann, Katarzyna Wac, Julien Bonjour

    PDF
  • Meditation Training and Neurofeedback Using a Personal EEG Device

    Rohan Dixit

    PDF
  • Self-Tracking for Distinguishing Evidence-Based Protocols in Optimizing Human Performance and Treating Chronic Illness

    Janet Chang

    PDF
  • Influenza Patients Are Invisible in the Web: Traditional Model Still Improves the State of the Art Web Based Influenza Surveillance

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    PDF
  • Smartphone-Based Self Management System for Type-2 Diabetes Patients

    Eiji Aramaki, Mai Miyabe, Kayo Waki, Hideo Fujita, Yuji Uchimura, Koji Omae, Masayo Hayakawa, Takashi Kadowaki, Kazuhiko Ohe

    PDF
  • Preface

    Takashi Kido, Keiki Takadama

    PDF
  • Invited Speaker and Special Presentation Abstracts

    Takashi Kido, Keiki Takadama

    PDF

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