Human Activity Recognition has been researched in thousands of papers so far, with mobile / environmental sensors in ubiquitous / pervasive domains, and with cameras in vision domains. As well, Human Behavior Analysis is also explored for long-term health care, rehabilitation, emotion recognition, human interaction, and so on.

However, many research challenges remain for realistic settings, such as complex and ambiguous activities / behavior, optimal sensor combinations, (deep) machine learning, data collection, platform systems, and killer applications.

In this conference, we comprehend such research domains as ABC: Activity and Behavior Computing, and provide an open and a confluent place for discussing various aspects and the future of the ABC.

JIZAI Body:

beyond human limits

Masahiko Inami

University of Tokyo

Scope

• Mobile sensor-based ABC
  
• Environmental sensor-based ABC
  
• Vision-based ABC
  
• Multimodal ABC
  
• Physical / semantic analysis of ABC
  
• Gait analysis
  
• Sleep analysis
  
• Emotion recognition / analysis
  
• ABC with deep learning
  
• ABC data mining
  
• Data collection
  
• ABC systems
  
• Interactive ABC
  
• Healthcare applications
  
• Nursing applications
• Elderly care applications
• Sports applications
  
• Business applications
  
• Tools for industry
  
• ABC in the wild
  

Categories

• Regular papers (4-10 pages): full technical content papers (published in IEEE proceedings or J-stage open access journal).
  
• Position papers (2-4 pages): describe the challenges and future directions of ABC based on problems that arise when systems are deployed in real settings (Not to be published).
• Challenge papers: we will provide a dataset and accept results for a recognition challenge with papers describing the methods and the results.
  

[ABC Challenge ]

Important Dates

• (Optional) Title: Jan. 31, 2024
• Paper deadline: Feb. 29, 2024
  
• Decision: Mar. 27, 2024
• Position paper: Apr. 12, 2024
  
• Resubmission: Apr. 12, 2024
• Camera ready: May. 1, 2024
• Conference: May. 28-31, 2024
  

Format

• Please use the IEEE conference LaTeX template (button below for the template).
  
• Submit from Microsoft CMT service (button below) and select the ABC.
  
• Note that the author information should be removed from the paper, for double blind reviews.
  

Activity Recognition of Nurse Training Activity

Using Skelton and Video Dataset with Generative AI

Challenge papers:

• Tutorials: Jan. 17, 2024
  
• Registration closes: Mar. 6, 2024
  
• Submission of results: Mar. 23, 2024
  
• Submission of paper: Apr. 10, 2024
  
• Camera ready: May. 1st, 2024
  

Domestic Service Robots (DSRs) are developed to support our daily lives: they tidy up the room, welcome guests, and serve dishes. In this hands-on, we brainstorm new functions required for DSRs, and collect data using TOYOTA HSR, with the support of a world-leading robot development team. The effectiveness of the functions and feasibility of solutions will be evaluated. Collected data can be utilized for future robot task development of yours.

• Application for participation: May 1st, 2024
  
• Acceptance: May 8th, 2024
• Hands-on: May. 28, 2024 (Day 0)
  

Registration fee (Online and On-site):

• Regular (to publish paper in IEEE Xplore) 450USD
  
• Regular (including J-Stage/Challenge/Position) 350USD
  
• Student (to publish paper in IEEE Xplore) 300USD
  
• Student (including J-Stage/Challenge/Position) 200USD
  

For IEEE authors, one participant should select “IEEE Xplore” per paper for the processing fee.

At least one registration per paper is needed.

Please do both of below for each participant.

Day0

May. 28 (Tue)

Kitakyushu

Domestic robot Hands on

(Kyutech Wakamatsu Campus)

2:00 PM Hands on (Introduction, ROS basics)

3:00 PM Coffee break

3:20 PM Hands on (Brain storming and data collection)

5:00 PM End

6:00 PM Reception

Day1

May. 29 (Wed)

Kitakyushu

8:00 AM Registration

8:30 AM Breakfast

9:00 AM Welcome

9:20 AM Session 1: SS: Nursing Activity and Analysis

11:00 AM Coffee break

11:20 AM Session 2: Recognition and Modality

12:30 PM LUNCH break

1:50 PM Session 3: SS: Dynamic Systems Theory (DST) of the Human as Long-Term Measurement

3:10 PM Coffee break

3:30 PM Session 4: Sports and Sign

4:50 PM Break

5:10 PM Keynote: Prof. Inami

6:20 PM End

7:00 PM Banquet (Kokura castle)

Day2

May. 30 (Thu)

Kitakyushu - Nakatsu

8:30 AM Breakfast

9:00 AM Session 5: SS: Sensing and Recognition of Work Activities

10:30 AM --- Move to Nakatsu --- (Nakatsu castle?)

12:30 PM LUNCH break

2:00 PM Session 6: LLM and Augmentation

3:30 PM Coffee break

3:40 PM Session 7: Home and Environment

5:00 PM Break

5:10 PM Session 8: Stress and Health

6:30 PM End

7:00 PM Banquet (Nakatsu)

Town hall Meeting (in the Banquet)

Day3

May. 31 (Fri)

Nakatsu

8:30 AM Breakfast

9:00 AM Session 9: Gaze and Emotion

10:40 AM Coffee break

10:50 AM Challenge

12:30 PM Townhall Meeting with LUNCH

1:30 PM Awards + Closing

2:00 PM　End

3:00 PM Excursion → Kokura

Advisory Board

Anind Dey, University of Washington, USA

Björn W. Schuller, Imperial College London, UK and University of Augsburg, Germany

Jeffry Cohn, University of Pittsburgh, USA

Kristof Van Laerhoven, University of Siegen, Germany

Michael Beigl, Karlsruhe Institute of Technology, Germany

Paul Lukowicz, RPTU / DFKI, Germany

Thomas Plötz, Georgia Institute of Technology, USA

General Chairs

Sozo Inoue, Kyushu Institute of Technology / AUTOCARE LLC, Japan

Md Atiqur Rahman Ahad, University of East London, UK

Program Chairs

Guillaume Lopez, Aoyama Gakuin University, Japan

Björn W. Schuller, Imperial College London, UK and Technical University of Munich, Germany

Award Chair

Tahera Hossain Aoyama Gakuin University, Japan

Publication Chair

Tahera Hossain, Aoyama Gakuin University, Japan

Journal Publication Chair

Kaori Yoshida, Kyushu Institute of Technology, Japan

Organizing Chairs

Atsushi Inoue, Kyushu Institute of Technology, Japan

Minoru Ikebe, Oita University, Japan

Secretary

Nazmun Nahid, Kyushu Institute of Technology, Japan

Min Xinyi, Kyushu Institute of Technology, Japan

Hands-on Chairs

Hakaru Tamukoh, Kyushu Institute of Technology, Japan

Akinobu Mizutani, Kyushu Institute of Technology, Japan

Publicity Chairs

East Asia

Sungho Su, DFKI, Germany

Shiqi Yu, SUST, China

South Asia

Abdullah Al Nahid, Khulna University Bangladesh.

Middle East

Fady Alnajjar, UAE University

USA

Swapnil Saha, STMicroelectronics

American Continents

Paula Lago, Concordia University, Canada

Europe

Vitor Fortes Rey, DFKI, Germany

Bian Sizhen, ETH, Switzerland

UK

Guan Yu, University of Warwick

Kaori Fujinami, Tokyo University of Agriculture and Technology, Japan

Moe Matsuki, Fujitsu Lab., Japan

Anja Exler, Adastra, Germany

Shigeyuki Miyagi, The University of Shiga Prefecture, Japan

Hiroki Watanabe, Hokkaido University, Japan

Kazutaka Shimada, Kyushu Institute of Technology, Japan

Takuya Maekawa, Osaka University, Japan

Kazuya Murao, Ritsumeikan University, Japan

Sungho Suh, DFKI, Germany

Bian Sizhen, ETH, Switzerland

Muhammad Fikry, Malikussaleh University, Indonesia

Katsuhiko Kaji, Aichi Institute of Technology, Japan

Yu Enokibori, Nagoya University, Japan

Yuuki Nishiyama, University of Tokyo, Japan

Shiqi Yu, SusTech, China

Baharul Islam, American University of Malta, Malta

Abdullah Al Nahid, Khulna University, Bangladesh

Christopher Nugent, Ulster University, UK

Seyed Ali Ghorashi, University of East London, UK

Paula Lago, Concordia University, Canada

Defry Hamdhana, Kyushu Institute of Technology, Japan

Gyanendra Nath Tripathi, Panasonic, Japan

Tobias Röddiger, Karlsruhe Institute of Technology, Japan

Wakamatsu Campus,

Kyushu Institute of Technology

Kitakyushu International

Conference Center

Nakatsu Lil Dream

Carved Tunnel of Ao

ABC 2020 @Kitakyushu, Japan

ABC 2021

@Online

Bento 2021:

Bento Packaging Activity Recognition Challenge in ABC2021

ABC 2022

@London,UK

Nurse 2022:

Fourth Nurse Care Activity Recognition Challenge - in ABC2022

Nurse 2021:

Third Nurse Care Activity Recognition Challenge - Can we Do from Bigdata? - in HASCA2021

Kyushu Institute of Technology