Program of iWOAR 2024
Time schedule
Thursday, September 26

9.00 - 9.30
Registration & Coffee
9.30 - 9.45
Opening (General Chairs & Host Institution Representatives)
9.45 - 10.45
Keynote (Prof. Dr. Thomas Plötz)
10.45 - 11.15
Coffee Break
11.15 - 12.35 Session #1: Advances in Human Activity Recognition(Chair: To be announced)
12:35 - 13:45
Lunch Break
13:45 - 15:05



Session #2: Vision-Based Recognition and AI Applications(Chair: To be announced)
Leveraging Vision Language Models for Facial Expression Recognition in Driving Environment
(Ibtissam Saadi, Abdenour Hadid, Douglas W. Cunningham, Abdelmalik Taleb-Ahmed and Yassin El Hillali)
Supporting Thermal Imaging for Activity and Health Recognition by a Constant Temperature Device
(Gerald Bieber, Erik Endlicher, Christopher Wald, Peter Gross and Bastian Kubsch)
Estimation of Psychosocial Work Environment Exposures Through Video Object Detection
(Claus D Hansen, Thuy Hai Le and David Campos)
FlyAI - The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making
(Denys J.C. Matthies, Ruben Schlonsak, Hanzhi Zhuang and Rui Song)
15:05 - 16:05



Coffee Break & Poster Session(Chair: To be announced)
SurfSole: Demonstrating Real-Time Surface Identification via Capacitive Sensing with Neural Networks
(Patrick Willnow, Max Sternitzke, Ruben Schlonsak, Marco Gabrecht and Denys J.C. Matthies)
ShoeTect2.0: Real-time Activity Recognition using MobileNet CNN with Multisensory Smart Footwear
(Ruben Schlonsak, Tengyunhao Yang, Marco Gabrecht and Denys J.C. Matthies)
Optimal 2D-LiDAR-Sensor Coverage of a Room
(Noel D'Avis and Silvia Faquiri)
Using Wearable Sensors in Stroke Rehabilitation
(Justin Albert, Lin Zhou, Kristina Kirsten, Bert Arnrich, Nurcennet Kaynak, Torsten Rackoll, Alexander Heinrich Nave, Tim Walz, David Weese and Rok Kos)
16:05 - 16:20
Wrap-up & Transition Time
16:20 - 16:50
Walk to the Griebnitzsee boat dock(30-minute buffer to ensure everyone arrives on time)
17:10 - 18:20
Boat Ride(Griebnitzsee to Wannsee)
19.00 - 20.30
Best Paper Banquet & Dinner



Friday, September 27

9.45 - 10.45
Keynote (Prof. Dr. Özlem Durmaz Incel)
10:45 - 11.15
Coffee Break
11:15 - 12:15



Session #3: Innovative Methods in Human Behavior Analysis(Chair: To be announced)
Objective Measurement of Stress Resilience: Is RSA a Possible Indicator?
(Erik Endlicher, Gerald Bieber, Angelina Schmidt, Michael Fellmann and Edda Jaleel)
The Supervised Learning Dilemma: Lessons Learned from a Human-Activity-Recognition Study in-the-Wild
(Kristina Kirsten, Robin Burchard, Olesya Bauer, Marcel Miché, Philipp Scholl, Karina Wahl, Roselind Lieb, Kristof van Laerhoven and Bert Arnrich)
Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection
(Robin Burchard and Kristof Van Laerhoven)
12:15 - 13.15
Lunch Break
13:15 - 14:35



Session #4: Specialized Applications in Sensor-based Technologies(Chair: To be announced)
Equimetrics - Applying HAR Principles to Equestrian Activities
(Jonas Pöhler and Kristof Van Laerhoven)
Similarities of Motion Patterns in Skateboarding and Hydrofoil Pumping
(Michael Zöllner, Moritz Krause and Jan Gemeinhardt)
Advances in Activity Recognition: Identifying Stair and Lift Usage through Sensor Data Analysis
(Hrishikesh Balkrishna Karande, Ravikiran Arasur Thippeswamy Shivalingappa, Abdelhafid Nassim Yaici, Iman Haghbin, Niravkumar Bavadiya, Robin Burchard and Kristof Van Laerhoven)
Analyzing Exercise Repetitions: YOLOv8-enhanced Dynamic Time Warping Approach on InfiniteRep Dataset
(Aleksandra Nekhviadovich, Michal Slupczynski, Nghia Duong-Trung and Stefan Decker)
14.35 - 14.50
Closing Remarks

Important Dates
Poster Submission Deadline
August 1, 2024 - 23.59 (CET)

Paper Submission Deadline
June 15, 2024 - 23.59 (CET)
July 7, 2024 - 23.59 (CET)

Author‘s Notification
July 31, 2024 - 23.59 (CET)

Author Registration Deadline
Sept. 20, 2024 - 23.59 (CET)

Begin of Event
Sept. 26, 2024 - 9.00 (CET)

Organized by
In cooperation with
© Copyright by Hasso-Plattner-Institut für Digital Engineering gGmbH, Universität Potsdam, Fraunhofer IGD • ImpressumData Protection