Jochen Kempfle
Ubiquitous Computing, H-A 8106
Department of Electrical Engineering
and Computer Science
University of Siegen
Hölderlinstr. 3
57076 Siegen
Office: H-A | 8106
Office hours: open door policy
wearable sensing systems, on-body motion capturing, activity recognition
- 2017, University of Siegen, DE: PhD Student and Research Associate at the chair of Ubiquitous Computing
- 2013-2017, University of Freiburg, DE: (M.Sc.) Embedded Systems Engineering
- 2009-2013, University of Freiburg, DE: (B.Sc.) Embedded Systems Engineering
2021:
Breathing In-Depth: A Parametrization Study on RGB-D Respiration Extraction Methods, .Frontiers in Computer Science, 3: 109, 2021.[abstract][pdf][scholar][bibtex]
fastSW: Efficient Piecewise Linear Approximation of Quaternion-Based Orientation Sensor Signals for Motion Capturing with Wearable IMUs, .Sensors, 21(15), 2021.[abstract][pdf][scholar][bibtex]
Quaterni-On: Calibration-free Matching of Wearable IMU Data to Joint Estimates of Ambient Cameras, .In WristSense 2021: 7th Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices, Institute of Electrical and Electronics Engineers (IEEE), mar,2021.[abstract][pdf][scholar][bibtex][best paper]
Towards Breathing as a Sensing Modality in Depth-Based Activity Recognition, .Sensors, 20(14), 2020.[abstract][pdf][scholar][bibtex]
Respiration Rate Estimation with Depth Cameras: An Evaluation of Parameters, .In Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction, ACM Press, 2018.[abstract][pdf][scholar][bibtex]
Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove, .Informatics, 5(2), 2018.[abstract][pdf][scholar][bibtex]
PresentPostures: A Wrist and Body Capture Approach for Augmenting Presentations, .In Pervasive Computing and Communications Workshops (PerCom Workshops), 2017 IEEE International Conference on, IEEE, 2018.[abstract][pdf][scholar][bibtex]