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ORCID8th iWOAR 2023: Lübeck, Germany
- Denys J. C. Matthies
, Marcin Grzegorzek, Arjan Kuijper, Heike Leutheuser:
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2023, Lübeck, Germany, September 21-22, 2023. ACM 2023 - Lasse R. Andersen, Lukas J. Jacobsen, David Campos:
Compressed, Real-Time Voice Activity Detection with Open Source Implementation for Small Devices. 1:1-1:10 - Theresa Götz, Pulkit Arora, F. X. Erick, Nina Holzer, Shrutika S. Sawant:
Self-supervised representation learning using multimodal Transformer for emotion recognition. 2:1-2:8 - Robert Schumann, Frédéric Li, Marcin Grzegorzek:
WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. 3:1-3:8 - Davy P. Y. Wong, Pai H. Chou:
TongueMendous: IR-Based Tongue-Gesture Interface with Tiny Machine Learning. 4:1-4:8 - Sudhir Kumar Dubey, Dimitri Kraft, Nicola Drueeke, Gerald Bieber:
Survey on food intake methods using visual technologies. 5:1-5:11 - Angelina Schmidt, Hassan Shahid, Dimitri Kraft, Gerald Bieber, Michael Fellmann:
Interactive Exercises for Computer-based Work Using a Webcam. 6:1-6:8 - Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi:
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection. 7:1-7:9 - Shiyuan Chen, Xue Qin, Zeyd Boukhers, John See, Wei Sui, Cong Yang:
Pedestrian Collision Prediction Using a Monocular Camera. 8:1-8:8 - Davy P. Y. Wong, Sheng-Chieh Yang:
Exploring False Statement Detection with Force Plate. 9:1-9:2 - Moritz Krause, Michael Zöllner:
HomeGrid - Experimental Displays for SmartHome Devices and Interfaces. 10:1-10:4 - Paulo J. S. Ferreira, João Mendes Moreira, João M. P. Cardoso:
A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System. 11:1-11:6 - Tomasz Sosnowski, Teodor Stoev, Thomas Kirste, Kristina Yordanova:
Challenges in Modelling Cooking Task Execution for User Assistance. 12:1-12:4 - Marco Torge Gabrecht, Hengyu Wang, Denys Jörg Christian Matthies:
PneuShoe: A Pneumatic Smart Shoe for Activity Recognition, Terrain Identification, and Weight Estimation. 13:1-13:5 - Felicia Bader, Laura Liebenow, Axel Steinhage:
Using Deep Learning to Identify Persons by their Movement on a Sensor Floor. 14:1-14:5 - Szymon Siecinski, Muhammad Tausif Irshad, Md. Abid Hasan, Ewaryst Tkacz, Marcin Grzegorzek:
Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction. 15:1-15:5 - Michael Zöllner, Moritz Krause:
Preliminary studies of measuring skateboarding forces by combining inertial sensors and camera-based pose estimation. 16:1-16:4 - Kathinka von Möller, Rebecca Herzog, Christina Bolte, Alexander Münchau, Tobias Bäumer, Anne Weissbach:
The impact of cerebellar transcranial alternating current stimulation (tACS) and simultaneous motor network activation via motor sequence learning (MSL) on movements and muscle strength. 17:1-17:5 - Gabriela Ciortuz, Marcin Grzegorzek, Sebastian J. F. Fudickar:
Effects of Time-Series Data Pre-processing on the Transformer-based Classification of Activities from Smart Glasses. 18:1-18:4 - Robin Dönnebrink, Fernando Moya Rueda, Rene Grzeszick, Maximilian Stach:
Miss-placement Prediction of Multiple On-body Devices for Human Activity Recognition. 19:1-19:8 - Md. Abid Hasan, Frédéric Li, Artur Piet, Philip Gouverneur, Muhammad Tausif Irshad, Marcin Grzegorzek:
Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. 20:1-20:7 - Orhan Konak, Alexander Wischmann, Robin Van De Water, Bert Arnrich:
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition. 21:1-21:6 - Aditi Site, Jari Nurmi, Elena Simona Lohan:
Classification of freezing of gait using accelerometer data: A systematic performance evaluation approach. 22:1-22:11 - Lennart Jablonski, Torge Jensen, Greta M. Ahlemann, Xinyu Huang, Vivian V. Tetzlaff-Lelleck, Artur Piet, Franziska Schmelter, Valerie S. Dinkler, Christian Sina, Marcin Grzegorzek:
Sensor-Based Detection of Food Hypersensitivity Using Machine Learning. 23:1-23:8 - Jonas Burian, Helmut Tödtmann, Marian Haescher, Mario Aehnelt, Arjan Kuijper:
Making Noise - Improving Seismocardiography Based Heart Analysis With Denoising Autoencoders. 24:1-24:9
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