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5th iWOAR 2018: Berlin, Germany
- Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, iWOAR 2018, Berlin, Germany, September 20-21, 2018. ACM 2018
Keynotes
- Albrecht Schmidt:
Is artificial intelligence (AI) taking over the world?: Are humans losing out to AI in the work place? 1:1 - Alex Mihailidis:
We all want to remain in our own homes ... 2:1
Improving biometric and vital data sensing
- Michaela Murauer, Michael Haslgrübler
, Alois Ferscha:
Natural Pursuits for Eye Tracker Calibration. 3:1-3:10 - Jochen Kempfle, Kristof Van Laerhoven
Respiration Rate Estimation with Depth Cameras: An Evaluation of Parameters. 4:1-4:10 - Florian Wolling
Fewer Samples for a Longer Life Span: Towards Long-Term Wearable PPG Analysis. 5:1-5:10
Enhancing daily living for elderly people
- Marian Haescher, Denys J. C. Matthies, Karthik Srinivasan, Gerald Bieber:
Mobile Assisted Living: Smartwatch-based Fall Risk Assessment for Elderly People. 6:1-6:10 - Eduardo Casilari
Analysis of a Public Repository for the Study of Automatic Fall Detection Algorithms. 7:1-7:10 - Gerald Bieber, Marian Haescher, Paul Hanschmann, Denys J. C. Matthies:
Exploring Accelerometer-based Step Detection by using a Wheeled Walking Frame. 8:1-8:6
Smarter environments
- Markus Nordén, Philipp Müller, Thomas Schauer
Real-Time Joint Axes Estimation of the Hip and Knee Joint during Gait using Inertial Sensors. 9:1-9:6 - Christopher Reining
Attribute Representation for Human Activity Recognition of Manual Order Picking Activities. 10:1-10:10 - Chi Tai Dang, Andreas Seiderer
Theodor: A Step Towards Smart Home Applications with Electronic Noses. 11:1-11:7
Recognizing playful activities
- David Dalmazzo
A Machine Learning Approach to Violin Bow Technique Classification: a Comparison Between IMU and MOCAP systems. 12:1-12:8 - Alexander Hoelzemann, Kristof Van Laerhoven
Using Wrist-Worn Activity Recognition for Basketball Game Analysis. 13:1-13:6 - Johann-Peter Wolff, Florian Grützmacher, Arne Wellnitz, Christian Haubelt
Activity Recognition using Head Worn Inertial Sensors. 14:1-14:7
Novel classification techniques
- Amit Kumar, Kristina Y. Yordanova
Combining off-the-shelf Image Classifiers with Transfer Learning for Activity Recognition. 15:1-15:9 - Rawya Al-Akam, Dietrich Paulus:
Dense 3D Optical Flow Co-occurrence Matrices for Human Activity Recognition. 16:1-16:8 - Nitin Nair, Chinchu Thomas, Dinesh Babu Jayagopi
Human Activity Recognition Using Temporal Convolutional Network. 17:1-17:8
Accepted Posters
- Konstantinos Tsiakas, Michalis Papakostas, James C. Ford, Fillia Makedon:
Towards a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks. 18:1-18:3 - Michael Fellmann
IT-supported Stress Management: Mediating between Sensor Data and Individual Appraisal. 19:1-19:2 - Denys J. C. Matthies:
Outlining a Novel Framework for Monitoring User's Vital Signs and Activity Data in Caregiving Facilities. 20:1-20:2 - Stefan Lüdtke, Alejandro Molina
Gaussian Lifted Marginal Filtering. 21:1-21:3 - Hiroto Ishikawa, Wataro Takahashi, Yoshito Tobe:
FinD: Detection of Finger Movement using Smart Watch. 22:1-22:3
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