SI Fabricating Pervasive Computing Systems is out
This category contains information about accepted publications.
In the paper “Synthesising Motion Sensor Data from Biomechanical Simulations to Investigate Motion Sensor Placement and Orientation Variations”, we investigate for the first time effects of sensor positioning and orientation variation using biomechanical simulations and motion data synthesis. ...
The chair is presenting three research papers at Ubicomp/ISWC 2018 conferences in Singapore.
For the first time we design eyeglasses temples and 3D print conductive lines and electromyography (EMG) electrodes on the temples according to personal head shapes. We demonstrate that the printed lines and electrodes provide adequate signal quality to acquire the Temporalis muscle activation during chewing.
We analyse for the first time a unique database of over 2000 runners regarding their 10km performance in relation to anthropometrics, resting heart rate (HR) and heart rate variability (HRV), and training patterns regularly acquired over two years using smartphones.
Paper: Convergence between body sides of hemiparesis patients? New publication in Front Bioeng Biotechnol
A new Frontiers publication: We are investigating whether wearable sensors can help track patients motor relearning progress in particular to regain walking performance. We developed a novel, intuitive marker "Convergence Point (CP)" that indicates the projected point in time at which patients move affected and less affected body sides similarly.
The newest issue of IEEE Pervasive Computing features the article 'How Wearable Computing Is Shaping Digital Health' by Oliver Amft.
We designed a wearable head-mounted egocentric camera setup for dietary data collection in free-living including a camera fixture and transfer learning on a deep neural network.
Paper: Regression-based, mistake-driven movement skill estimation in Nordic Walking using wearable inertial sensors
We propose a mistake-driven skill estimation approach for movement analysis in sports using wearable inertial measurement units (IMUs) and continuous regression models.
Three papers have been presented at this year's Biomedical Health Informatics (BHI) and Body Sensor Networks (BSN) conferences.