Schedule

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Program

ABSTRACTS are available.

Times are in GMT+2,

Sep. 7th (Thursday), 2023

Registration, 8:00am-8:30am

Breakfast, 8:30am-9:00am

Welcome, 9:00am-9:20am

Session 1: Sports, 9:20am-10:40am

Session Chair: Kazuya Murao, Ritsumeikan University
Pitcher Identification Method using an Accelerometer and Gyroscope embedded In a Baseball, Goro Mizuno (Ritsumeikan University)*; Kazuya Murao (Ritsumeikan University); Akinori Nagano (Ritsumeikan University); Shohei Shibata (Mizuno Corporation); Yuki Yamada (Mizuno Corporation)
Design and Implementation of a Long-casting Support System for Lure Fishing using an Accelerometer, Takashi Ogawa (Ritsumeikan University)*; Kazuya Murao (Ritsumeikan University)
Estimation of Muscle Activation during Complex Movement using Unsupervised Motion Primitives Decomposition of Limb Kinematics, Mainul Islam Labib (Khulna University ); Md. Johir Raihan (Electronics and Communication Engineering Discipline, Khulna University ); Abdullah-Al Nahid (Khulna University, Khulna-9208, Bangladesh)*
SIMUAug: Variability-aware Data Augmentation for Wearable IMU using Physics Simulation, Nobuyuki Oishi (University of Sussex)*; Daniel Roggen (University of Sussex); Phil Birch (University of Sussex); Paula Lago (Concordia University)

Keynote 1, 11:00am-12:00am

Session Chair: Guillaume Lopez, Aoyama Gakuin University, Japan
Paul Lukowicz (Deutsche Forschungszentrum für Künstliche Intelligenz GmbH), Will Advances in Foundational Models Solve Human Activity Recognition?

Lunch Break, 12:00-1:30pm

Behavior Transformation by IoT International Workshop, 1:30pm-2:45pm

Session Chair: Tadashi Okoshi, Keio University, Japan
Effect of Real-Time Feedback on Posture Improvement during Core Training, Keisuke Sato (Aoyama Gakuin University)*; Guillaume Lopez (Aoyama Gakuin University)
Subjective Stress and Heart Rate Variability Patterns: A Study on Harassment Detection, Takahiro Ueno (Fukuoka University)*; Masayoshi Ohashi (Fukuoka University)
False-Modesty Dialogue system: Knowledge level control of dialogue agents that induces user assistance behavior, Masaki Shuzo (Tokyo Denki University)*; Yuta Kitabayashi (Tokyo Denki University); Eisaku Maeda (Tokyo Denki University)
Let's Do as Friends Do: An Approach for Encouraging Social Behavior Transformation, Akinari Sakai (NTT DOCOMO, INC.)*; Takashi Hamatani (NTT DOCOMO, INC.); Keiichi Ochiai (NTT DOCOMO, INC.); Toru Otaki (NTT DOCOMO, INC.); Takashi Suzuki (NTT DOCOMO, INC.); Satoshi Hiyama (NTT DOCOMO, INC.); Akira Yamada (NTT DOCOMO, INC.); Takuya Shirai (NTT DOCOMO, INC.); Yutaka Arakawa (Kyushu University)
Development of a Smartphone Case for Horror Movie Experience Augmentation, Takeshi Shiba (Aoyama Gakuin University)*; Reika Takeshita (Aoyama Gakuin University); Guillaume Lopez (Aoyama Gakuin University)

Keynote 2, 3:05pm-4:05pm

Session Chair: Sozo Inoue, Kyushu Institute of Technology, Japan
Michael Beigl (Karlsruhe Institute of Technology, Germany), Computers Closer to Your Body: Sensing, Machine Learning and Innovative Applications in Earables and Wearables

Session 2: Nursing and Elderly Care, 4:25pm -5:45pm

Session Chair: Ren Ohmura, Toyohashi Institute of Technology
Toward Recognizing Nursing Activity in Endotracheal Suctioning Using Video-based Pose Estimation, Hoang Anh Vy Ngo (Kyushu Institute of Technology)*; Quynh N Phuong Vu (Kyushu Institute of Technology); Noriyo Colley (Hokkaido University); Shinji Ninomiya (Hiroshima International University); Satoshi Kanai (Hokkaido University); Shunsuke Komizunai (Kagawa University); Atsushi Konno (Hokkaido University); Misuzu Nakamura (JIKEI University); Sozo Inoue (Kyushu Institute of Technology)
Daily Gait Recording Using Infrared Analog Sensors, Satoshi Nozu (Hokkaido University)*; Mineichi Kudo (Hokkaido University); Keigo Kimura (Hokkaido University)
Analysis of Physiological Variances in Thermal Comfort among Individuals, Kazuki K Honda (Aoyama Gakuin University)*; Tahera Hossain (Aoyama Gakuin University); Yusuke Kawasaki (Aoyama Gakuin University); Guillaume Lopez (Aoyama Gakuin University)
Older Adults Daily Mobility and Its Connection to DEMMI, Björn Friedrich (Carl von Ossietzky Universität)*; Lena Elgert (Peter L. Reichertz Institut); Daniel Eckhoff (City University of Hong Kong); Jürgen Martin Bauer (University of Heidelberg); Andreas Hein (Carl von Ossietzky Universität)

Sep. 8th (Friday), 2023

Breakfast, 8:30am-9:00am

Session 3: Behavior, 9:00am-10:20am

Session Chair: Yutaka Arakawa, Kyushu University, Japan
A data-driven approach extracting unique scales for a target group activity, Kazuaki Kondo (Kyoto University)*; Takuya Arimoto (Kyoto Universiy); Kei Shimonishi (Kyoto University); Yuichi Nakamura (Kyoto University)
Eye-Tracking for Estimation of Concentrating on Reading Texts, Saki Tanaka (Tokyo University of Agriculture and Technology)*; Airi Tsuji (Tokyo University of Agriculture and Technology); Kaori Fujinami (Tokyo University of Agriculture and Technology)
Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning, RASHMI ALUR RAMACHANDRA (RPTU, Kaiserslautern)*; Jayasankar Santhosh (DFKI, Kaiserslautern and RPTU, Kaiserslautern); Andreas Dengel (DFKI GmbH); Shoya Ishimaru (Osaka Metropolitan University, Japan)
Synchronizing an AR Robot Simulator with a Real Industrial Robot, Naoya Ryoke (Kyushu Institute of Technology)*; Nazmun Nahid (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology)

Session 4: Original Devices, 10:40am-12:00

Session Chair: Masayoshi Ohashi, Fukuoka University, Japan
Forecasting Sit-to-Stand Transitions in Wheelchair Patients: a Textile Pressure Sensor-based Approach, Tahia Tazin (Kyushu Institute of Technology)*; John Noel Victorino (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology); Yu Enokibori (Nagoya University)
PressureTansferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps, Lala Shakti Swarup Ray (DFKI)*; Vitor Fortes Rey (DFKI); Bo Zhou (DFKI GmbH); Sungho Suh (DFKI); Paul Lukowicz (DFKI GmbH, Germany)
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR, Dominique Nshimyimana (DFKI, RPTU)*; Vitor Fortes Rey (DFKI); Paul Lukowicz (DFKI GmbH, Germany)
Abacus Manipulation Understanding by Behavior Sensing Utilizing Document Camera as a Sensor, Yuki Matsuda (Nara Institute of Science and Technology)*

Poster with Lunch, 12:00-1:30pm

CZS Summer School on Sustainable Embedded AI,

Keynote 3, 1:30pm-2:30pm

Session Chair: Atiqur Rahman Ahad, University of East London, UK
Sozo Inoue (Kyushu Institute of Technology / AUTOCARE LLC, Japan), Toward Care Forecasting Services Utilizing IoT, Bigdata, and Generative AI

Session 5: Interesting Applications, 2:50pm-4:30pm

Session Chair: Sungho Suh, DFKI, Germany
Estimation Method of Doneness for Boiled Eggs and Diced Steaks using Active Acoustic Sensing, daiki takahashi (Ritsumeikan university)*; Kazuya Murao ()
Evaluation of Functional Estimation Methods in IoT Devices at Intervals of a Few Seconds by Communication Traffic Analysis, Yuichi Hattori (Kyushu Institute of Technology)*; Yutaka Arakawa (Kyushu University); Sozo Inoue (Kyushu Institute of Technology)
Gantt-Chart based ADL Flow-Line Model to Integrate Spatial and Temporal Distance for Transmission Routes Analysis, Masayuki Numao (The University of Electro Communications)*; Kinnosuke Tanaka (The University of Electro Communications)
Appearance-Based Gaze Estimation with Deep Neural Networks: From Data Collection to Evaluation, Ankur Bhatt (RPTU/ DFKI GmbH)*; Ko Watanabe (RPTU/DFKI GmbH); Andreas Dengel (DFKI GmbH); Shoya Ishimaru (Osaka Metropolitan University)
A Relabeling Approach to Signal Patterns for Beacon-based Indoor Localization in Nursing Care Facility, Chrisitina A Garcia (Kyushu Institute of Technology)*; Quynh N Phuong Vu (Kyushu Institute of Technology); Haru Kaneko (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology)

Town Hall Meeting, 4:30pm-5:30pm

Session Chair: Atiqur Rahman Ahad, University of East London, UK

Banquet at Bremerhof, 7pm

Sep. 9th (Saturday), 2023

Breakfast, 8:30am-9:00am

Heatstroke Challenge, 9:00am-10:00am

Session Chair: Tahera Hossain, Aoyama Gakuin University, Japan
Challenge Summary, Tahera Hossain (Aoyama Gakuin University, Japan)
Personal Thermal Assessment using Feature Reduction and Machine Learning Techniques, Afsana Mimi (East West University)*; Md. Golam Rasul (University of Potsdam, Germany); Tanjila Alam Sathi (Islamic University of Technology ); Lutfun Nahar Lota (Islamic University of Technology )
Analysis of Personal Thermal State using Machine Learning Algorithms to Prevent Heatstroke, Afroza Rahman (University of Asia Pacific)*; Md Ibrahim Mamun (Northumbria University); Shahera Hossain (University of Asia Pacific, Bangladesh); Md Atiqur Rahman Ahad (University of East London, UK)
Ensemble Learning Models-Based Prediction of Personal Thermal Assessment Aimed at Heatstroke Prevention, Motoki SAKAI (Nihon University)*; Masaki Shuzo (Tokyo Denki University)
Predicting Heatstroke Risk and Preventing Health Complications: An Innovative Approach Using Machine Learning and Physiological Data, Md Imran Hosen (Bahçeşehir Üniversitesi)*; Abdullah Abdullah (Bahcesehir University); Tarkan Aydın (Bahçeşehir Üniversitesi); Md Atiqur Rahman Ahad (University of East London); MD BAHARUL ISLAM (Bahcesehir University)
Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier, Md. Mamun Sheikh (University of Dhaka)*; Shahera Hossain (University of Asia Pacific, Bangladesh); Md Atiqur Rahman Ahad (University of East London)
Clustering-based Feature Selection and Stacked Generalization Method to Offset Imbalanced Data for Thermal Stress Assessment, Iqbal Hassan (Ahsanullah University of Science and Technology)*; Shahera Hossain (University of Asia Pacific, Bangladesh); Md Atiqur Rahman Ahad (University of East London, UK)
Enhancing Personalized Heatstroke Prevention: Forecasting Thermal Comfort Sensations through Data-driven Models, Md. Samiur Rahman(University of Asia Pacific), Ziaul Karim Asfi (University of Asia Pacific), Md. Atik Shams (University of Asia Pacific), Md. Ifaj Hos- san Omi American International University- Bangladesh, Md. Akhtaruzzaman Adnan (University of Asia Pacific), Shahera Hossain (University of Asia Pacific)

Parkinson Challenge, 10:20am-11:05am

Session Chair: Christina A Garcia, Kyushu Institute of Technology, Japan
Challenge Summary, Haru Kaneko (Kyushu Institute of Technology, Japan)
Intrapatient Forecasting of Parkinson’s Wearing-off by Analyzing Data from Wrist-worn Fitness Tracker and Smartphone, Nhat Tan Le (Ho Chi Minh City University of Technology, Vietnam National University)*; Duy Nguyen Khuong Cong (HCMUT); Duy Nhat Vo (Ho Chi Minh city University Of technology); Tan Thi Pham (Ho Chi Minh City University of Technology, Vietnam National University)
Foreseeing wearing-off state in Parkinson’s disease patients, a multimodal approach with the usage of machine learning and wearables, Justyna Skibinska (Brno University of Technology & Tampere University)*; Zaigham Abbas Shah Abbas Shah (MUET ); Asma Channa ( University POLITEHNICA of Bucharest & University Mediterranea of Reggio Calabria ); Muhammad Shehram Shah Syed (Mehran University of Engineering and Technology); Zafi Sherhan Syed (Mehran University of Engineering & Technology); Jiri Hosek (Brno University of Technology)
Wearable Technology-Enabled Prediction of Wearing-Off Phenomenon in Parkinson's Disease: A Personalized Approach Using LSTM-Based Time-Series Analysis, Md. Ifaj Hossan Omi (American International University-Bangladesh (AIUB))*; Md Atik Shams (University of Asia Pacific); Md. Samiur Rahman (University of Asia Pacific); Ziaul Karim Asfi (University of Asia Pacific (UAP)); Akhtaruzzaman Adnan (UAP); Shahera Hossain (University of Asia Pacific, Bangladesh)
Forecasting Parkinson’s Patient’s Wearing-off Periods by Employing Stacked Super Learner, Iqbal Hassan (Ahsanullah University of Science and Technology)*; Shahera Hossain (University of Asia Pacific, Bangladesh); Md Atiqur Rahman Ahad (University of East London, UK)
Forecasting Wearing-Off in Parkinson’s Disease: An Ensemble Learning Approach Using Wearable Data, Md Imran Hosen (Bahçeşehir Üniversitesi)*; MD BAHARUL ISLAM (Bahcesehir University)

WiP Papers, 11:05am-11:45

Session Chair: Vitor Fortes Rey, DFKI, Germany
An Input Interface for Wearable Devices using Pulse Wave Control by Manually Compressing the Upper Arm, Yuma Akimoto (Ritsumeikan Univeresity); Kazuya Murao ()*
Analysis of Cat Activity for Estimating Cat Urine Volume using Multiple Weight Sensors, Tetsuhiro Yamaguchi (Kyushu Institute of Technology)*; Namiko Nakashima (Toletta Cats Inc.); Takeshi Shigemori (Toletta Cats Inc. ); Teruki Hirahata (Toletta Cats Inc. ); Sozo Inoue (Kyushu Institute of Technology)

Awards + Closing, 11:45pm-12:15