CPHS.group

Cyber Physical & Human Systems group

Cyber-Physical & Human Systems (CPHS) consist of cyber-physical computer systems and humans. Cyber-Physical Systems (CPS) arise from the networking of embedded systems through wired or wireless communication networks. The multidisciplinary research of CPS sees the following fields of application: medical systems, assistance systems, control-, automation-, and logistics-systems, security systems, systems for influencing and monitoring the environment, communication, and culture, e.g. in the context of a digital twin. Cyber-Physical & Human Systems (CPHS) additionally focus on the interactions between CPS and humans. The interactions between technology and humans take place on different levels, physically and digitally in cyberspace and represent the basis of “hybrid intelligence” in which humans use the capabilities of technology and vice versa, such as in modern assistance systems.

How can new technologies be used sensibly to further improve CPHS?

How can systems and people grow together in a human-machine symbiosis in a meaningful way?

What new opportunities do CPHS open up in the fields of industry and health?

What role does artificial intelligence play in a CPHS and how can it be used beneficially?

Focus

The Cyber-Physical & Human Systems group combines two focal points: 1. the cyber-physical system and 2. the human system, which are not just connected in space and time, but also increasingly on a cyber-digital level as a digital twin. The cyber-digital level also includes the use of artificial intelligence (AI), which e.g. enables smart assistance for the user in the real world, such as augmented reality. The AI is a link between the cyber-physical and human system, which is being researched by this specialist group on the basis of different applications.


Focus 1: Cyber-Physical System

The first professional focus is on the technical capabilities of the systems. The increasing performance of embedded systems and the advancing miniaturization of hardware including sensors enable new types of systems in prototype and product development. Especially in the field of mobile systems, wireless transmission technologies facilitate convenient use and the necessary user acceptance.

We develop solutions for:

  • Networking of systems, in particular using wireless technologies
  • Autonomous and embedded systems with hardware and software components
  • Digital twin of physical entities
  • Modeling, design and implementation of distributed AI systems in computer networks and innovative end devices such as wearables


Focus 2: Human System

The second specialist focus is on the augmentation of humans in order to expand their capacities in cyber-physical space. In particular, this will enable assistive augmentation in the future with mobile systems, which on the one hand requires a seamless integration of technological systems with our body and on the other hand the expansion of our cognitive, perceptual and motor skills, as well as the ability of a system to implicitly relate to the human context understand, enables. This performance is only made possible by the supply of artificial intelligence, which links the digital twins.

We develop solutions for:

  • Prevention - to identify diseases early and avoid them,
  • Substitution - to technologically replace impaired functions, such as a disability,
  • Extension - to expand the ability to interact with our environment.

People

The CPHS.group is jointly headed by the Professors Horst Hellbrück and Denys Matthies.

Horst Hellbrück

Professor

Denys J.C. Matthies

Professor

Swen Leugner

Research Associate

Sebastian Hauschild

Research Associate

Marco Gabrecht

Research Associate

Publications

2024

Cooray, S., Hettiarachchi, C., Nanayakkara, V., Matthies, D., Samaradivakara, Y. and Nanayakkara, S. (2024). Kavy: Fostering Language Speaking Skills and Self-Confidence Through Conversational AI. In Proceedings of the Augmented Humans International Conference 2024. pp. 226–236. https://doi.org/10.1145/3652920.3652944 [pdf]

2023

Matthies, DJ., Kothandan, J., Sun, W. and Dittmar, A. (2023). User Generated Inverted Item Evaluation (UGIIE). In Proceedings of 25rd HCI International Conference (HCII 2023). [pdf]

Matthies, D., Sellhorn, O., Gabrecht, M., Schuljak, J. and Hellbrück, H. (2023). NOSEwrist: Natural Olfactory Substitution and Extension wrist. Chapter in Proceedings of Mensch und Computer 2023. pp. 370–374. https://doi.org/10.1145/3603555.3608528 [pdf]

Matthies, DJ., Gabrecht, M. and Hellbrück, H. (2023). Cyber-Physical & Human Systems (CPHS)–A Review and Outlook. In Proceedings of Mensch und Computer 2023. pp. 364–369. https://doi.org/10.1145/3603555.3608527 [pdf]

Gabrecht, MT., Wang, H. and Matthies, DJC. (2023). PneuShoe: A Pneumatic Smart Shoe for Activity Recognition, Terrain Identification, and Weight Estimation. In Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence. pp. 1–5. https://doi.org/10.1145/3615834.3615853 [pdf]

Sun, D., Xi, Y., Yaqot, A., Hellbrück, H. and Wu, H. (2023). Throughput Maximization Using Deep Complex Networks for Industrial Internet of Things. In Sensors. MDPI. vol. 23. no. 2. pp. 951.

John, F., Sievers, B., Sellhorn, OH. and Hellbrueck, H. (2023). Two Industrial Reference Demonstrators for High Throughput and Low Latency in 5G Standalone Network Setups. In Mobile Communication-Technologies and Applications; 27th ITG-Symposium. pp. 1–6.

Cimdins, M., Schmidt, SO., John, F., Constapel, M. and Hellbrück, H. (2023). MA-RTI: Design and Evaluation of a Real-World Multipath-Assisted Device-Free Localization System. In Sensors. vol. 23. no. 4. https://doi.org/10.3390/s23042199 [url]

Matthies, DJ., Schmidt, SO., He, Y., Yu, Z. and Hellbrueck, H. (2023). LoomoRescue: An Affordable Rescue Robot for Evacuation Situations. In HCI International 2023. pp. 1-20. [pdf]

2022

Matthies, DJ., Saffaryazdi, N. and Billinghurst, M. (2022). Wearable Sensing of Facial Expressions and Head Gestures. In Workshop of Nordic Human-Computer Interaction Conference (NordiCHI ’22). pp. 5. https://doi.org/10.13140/RG.2.2.26960.38408/2 [pdf]

Matthies, DJ. and Li, X. (2022). ShoeTect: Detecting Body Posture, Ambulation Activity, Gait Abnormalities, and Terrain with Multisensory Smart Footwear. In 7th international Workshop on Sensor-based Activity Recognition and Artificial Intelligence (iWOAR ’22). https://doi.org/10.1145/3558884.3558904 [pdf]

Elvitigala, DS., Boldu, R., Nanayakkara, S. and Matthies, DJ. (2022). TickleFoot: Design, Development and Evaluation of a Novel Foot-tickling Mechanism that Can Evoke Laughter. In ACM Transactions on Computer-Human Interaction (TOCHI). ACM New York, NY, USA. vol. 29. no. 3. pp. 20. https://doi.org/10.1145/3490496 [pdf] [video]

Vosteen, L., John, F., Schuljak, J., Sievers, B., Hanemann, A. and Hellbrück, H. (2022). Practical Security Analysis and Measures for 5G Private Industrial Standalone (SA) Deployments. In 26. VDE/ITG Fachtagung Mobilkommunikation. pp. 1–6.

Angelstein, R., Schmidt, SO., John, F. and Hellbrück, H. (2022). Evaluation and Error Correction of Position Tracking Systems of Autonomous Vehicles for Indoor Localization.

Petersen, H., John, F. and Hellbrück, H. (2022). Effect of Object Diameter Specific Reflections to Underwater Ultrasonic Multipath Diffraction Measurements.

Mulkerin, G., John, F. and Hellbrück, H. (2022). Feature Identifier for Underwater Ultrasonic Multipath Diffraction Model.

Schön, LP., John, F. and Hellbrück, H. (2022). Underwater Ultrasonic Multipath Diffraction Model for Short Range Communication and Sensing Applications with Reflector.

Schmidt, SO., John, F. and Hellbrück, H. (2022). Evaluation of 3-dimensional Electrical Impedance Tomography-Arrays for Underwater Object Detection. In OCEANS Conference 2022 - Chennai. pp. 1–6.

John, F., Schmidt, SO. and Hellbrück, H. (2022). Spectral Ultrasonic Underwater Buried Object Detection and Localization. In OCEANS Conference 2022 - Chennai. pp. 1–7.

Schmidt, SO., John, F. and Hellbrück, H. (2022). Evaluation of an Electrical Impedance Tomography Model for Underwater Object Detection. In OCEANS 2022, Hampton Roads. pp. 1-6. https://doi.org/10.1109/OCEANS47191.2022.9976985

Schmidt, SO., John, F. and Hellbrück, H. (2022). Evaluation of 3-dimensional Electrical Impedance Tomography-Arrays for Underwater Object Detection. In OCEANS 2022 - Chennai. pp. 1-6. https://doi.org/10.1109/OCEANSChennai45887.2022.9775412

John, F., Schuljak, J., Vosteen, LB.., Sievers, B., Hanemann, A. and Hellbrück, H. (2022). A Reference Deployment of a Minimal Open-Source Private Industry and Campus 5G Standalone (SA) System. In 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN). pp. 1-9. https://doi.org/10.1109/ICICN56848.2022.10006563

John, F., Schmidt, SO. and Hellbrück, H. (2022). Multisensor Platform for Underwater Object Detection and Localization Applications. In OCEANS 2022, Hampton Roads. pp. 1-7. https://doi.org/10.1109/OCEANS47191.2022.9977032

John, F., Schmidt, SO. and Hellbrück, H. (2022). Spectral Ultrasonic Underwater Buried Object Detection and Localization. In OCEANS 2022 - Chennai. pp. 1-7. https://doi.org/10.1109/OCEANSChennai45887.2022.9775292

Cimdins, M., Schmidt, SO., Bartmann, P. and Hellbrück, H. (2022). Exploiting Ultra-Wideband Channel Impulse Responses for Device-Free Localization. In Sensors. vol. 22. no. 16. https://doi.org/10.3390/s22166255 [url]

Soukieh, A., Yaqot, A. and Hellbrueck, H. (2022). HLS: Hierarchical Lossless Segmentation - A New Approach for Bilevel Image Compression. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). pp. 1-6. https://doi.org/10.1109/ICECCME55909.2022.9988021

Schmidt, SO., Cimdins, M. and Hellbrueck, H. (2022). SALOS - a UWB Single Anchor Localization System based on CIR-vectors - Design and Evaluation. In International Conference for Indoor Positioning and Navigation (IPIN) 2022. pp. 1-16. [pdf]

Hauschild, S. and Hellbrück, H. (2022). Latency and Energy Consumption of Convolutional Neural Network Models from IoT Edge Perspective. Chapter in Internet of Things. Springer International Publishing. pp. 385–396. https://doi.org/10.1007/978-3-031-20936-9_31

2021

Muthukumarana, S., Messerschmidt, MA., Matthies, DJ., Steimle, J., Scholl, PM. and Nanayakkara, S. (2021). ClothTiles: A Prototyping Platform to Fabricate Customized Actuators on Clothing using 3D Printing and Shape-Memory Alloys. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM. pp. 1–12. https://doi.org/10.1145/3411764.3445613 [pdf] [video]

Matthies, DJ., Woodall, A. and Urban, B. (2021). Prototyping Smart Eyewear with Capacitive Sensing for Facial and Head Gesture Detection. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. pp. 476–480. https://doi.org/10.1145/3460418.3479361 [pdf]

Matthies, DJ., Elvitigala, DS., Fu, A., Yin, D. and Nanayakkara, S. (2021). mobiLLD: Exploring the Detection of Leg Length Discrepancy and Altering Gait with Mobile Smart Insoles. In The 14th PErvasive Technologies Related to Assistive Environments Conference. ACM. pp. 37–47. https://doi.org/10.1145/3453892.3453896 [pdf] [video]

Matthies, DJ., Haescher, M., Chodan, W. and Bieber, G. (2021). DIY-PressMat: A Smart Sensor Mat for Posture Detection Applicable for Bed-exit Intention Detection, Pressure Ulcer Prevention, and Sleep Apnea Mitigation. In The 14th PErvasive Technologies Related to Assistive Environments Conference. ACM. https://doi.org/10.1145/3453892.3454001 [pdf] [video]

Matthies, DJ., Weerasinghe, C., Urban, B. and Nanayakkara, S. (2021). CapGlasses: Untethered Capacitive Sensing with Smart Glasses. In Proceedings of the Augmented Humans International Conference 2021 (AHs '21). ACM. https://doi.org/10.1145/3458709.3458945 [pdf] [video]

Kaluarachchi, T., Sapkota, S., Taradel, J., Thevenon, A., Matthies, DJ. and Nanayakkara, S. (2021). EyeKnowYou: A DIY Toolkit to Support Monitoring Cognitive Load and ActualScreen Time using a Head-Mounted Webcam. In Adjunct Publication of the 23rd International Conference on Mobile Human-Computer Interaction (MobileHCI '21). ACM. https://doi.org/10.1145/3447527.3474850 [pdf] [video]

Elvitigala, DS., Matthies, DJ., Weerasinghe, C. and Nanayakkara, S. (2021). GymSoles++: Combining Google Glass with Smart Insoles to Improve Body Posture when Performing Squats. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021). ACM. pp. 48–54. https://doi.org/10.1145/3453892.3453898 [pdf] [video]

Cimdins, M., John, F. and Hellbrück, H. (2021). Flexible Data Acquisition with LoRaWAN and MQTT for Small and Medium-sized Enterprises. In Mobile Communication - Technologies and Applications; 25th ITG-Symposium. pp. 1-6. https://doi.org/ [url]

John, F., Schmidt, SO. and Hellbrück, H. (2021). Flexible Arbitrary Signal Generation and Acquisition System for Compact Underwater Measurement Systems and Data Fusion. In Global Oceans 2021: San Diego - Porto. pp. 1-6. [url]

John, F., Schmidt, SO. and Hellbrück, H. (2021). High Precision Open Laboratory 3D Positioning System for Automated Underwater Measurements. In Global Oceans 2021: San Diego - Porto. pp. 1-5. [url]

John, F., Cimdins, M. and Hellbrück, H. (2021). Underwater Ultrasonic Multipath Diffraction Model for Short Range Communication and Sensing Applications. In IEEE Sensors Journal. vol. 21. no. 20. pp. 22934-22943. https://doi.org/10.1109/JSEN.2021.3110005 [url]

Sievers, B., Hauschild, S. and HellbrÜck, H. (2021). Inference and Performance Analysis of Convolutional Neural Networks used for Human Gesture Recognition on IoT-Devices. Technical report, Technische Hochschule LÜbeck. LÜbeck. [pdf]

Elsner, C., John, F. and HellbrÜck, H. (2021). Gigahertz Ground Penetrating Radar (GPR) for Sediment Exploration. Technical report, Technische Hochschule LÜbeck. LÜbeck. [pdf]

Lindenberg, AV., Ardelt, G., John, F. and Hellbrück, H. (2021). Object Localization in Seawater via Electrical Impedance Measurements. Technical report, Technische Hochschule Lübeck. Lübeck. [pdf]

Kniesel, JP., Schmidt, SO. and HellbrÜck, H. (2021). Modeling the Interference of Ultra-Wideband Signals in Multipath Propagation Channels. Technical report, Technische Hochschule LÜbeck. LÜbeck. [pdf]

Schramm, S., Schmidt, SO. and HellbrÜck, H. (2021). Modeling the Path Losses of Ultra-Wideband Signals in Multipath Propagation Channels. Technical report, Technische Hochschule LÜbeck. LÜbeck. [pdf]

Winkel, T., Schmidt, SO. and HellbrÜck, H. (2021). Modeling UWB Multipath Propagation considering Material-Dependent Reflection Effects. Technical report, Technische Hochschule LÜbeck. LÜbeck. [pdf]

Matthies, DJ.C.., Harder, T., Bretterbauer, F., Ginter, V. and Hellbrück, H. (2021). FitFone: Tracking Home Workout in Pandemic Times. In The 14th PErvasive Technologies Related to Assistive Environments Conference. Association for Computing Machinery. New York, NY, USA. pp. 272–276. https://doi.org/10.1145/3453892.3461334 [url]

Leugner, S. and Hellbrück, H. (2021). Location Awareness in the Internet of Things. In Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 1. pp. 249–265.

Meusel, M., Wegerich, P., Bode, B., Stawschenko, E., Kusche-Vihrog, K., Hellbrück, H. and Gehring, H. (2021). Measurement of Blood Pressure by Ultrasound - The Applicability of Devices, Algorithms and a View in Local Hemodynamics. In Diagnostics. vol. 11. no. 12. https://doi.org/10.3390/diagnostics11122255 [url]

Hellbrück, H., Ardelt, G., Wegerich, P. and Gehring, H. (2021). Brachialis Pulse Wave Measurements with Ultra-Wide Band and Continuous Wave Radar, Photoplethysmography and Ultrasonic Doppler Sensors. In Sensors. Multidisciplinary Digital Publishing Institute (MDPI). vol. 21. no. 165. https://doi.org/10.3390/s21010165

Hauschild, S. and Hellbrück, H. (2021). Sind portable intelligente Geräte für die Diagnostik in der Hausarztpraxis geeignet?. Chapter in Deutsche Gesellschaft für Allgemeinmedizin und Familienmedizin. 55. Kongress für Allgemeinmedizin und Familienmedizin. German Medical Science GMS Publishing House. https://doi.org/10.3205/21degam204

Wewetzer, L., Hauschild, S., Blickle, P., Hellbrück, H. and Steinhäuser, J. (2021). Interoperabilität, technische Schnittstellen…? Ein Beitrag zum Verständnis von Praxisinformationssystemen. In Zeitschrift für Allgemeinmedizin. vol. 11. pp. 464-470.

Cimdins, M., Schmidt, SO. and Hellbrück, H. (2021). Comparison of I/Q- and Magnitude-based UWB Channel Impulse Responses for Device-free Localization. In International Conference on Localization and GNSS.

Schmidt, SO. and Hellbrueck, H. (2021). Detection and Identification of Multipath Interference with Adaption of Transmission Band for UWB Transceiver Systems. In International Conference for Indoor Positioning and Navigation (IPIN) 2021. pp. 1-16. [pdf]

2020

Muthukumarana, S., Elvitigala, DS., Forero Cortes, JP., Matthies, DJ. and Nanayakkara, S. (2020). Touch me gently: recreating the perception of touch using a shape-memory alloy matrix. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM. pp. 1–12. https://doi.org/10.1145/3313831.3376491 [pdf] [video]

Elvitigala, DS., Matthies, DJ. and Nanayakkara, S. (2020). StressFoot: Uncovering the Potential of the Foot for Acute Stress Sensing in Sitting Posture. In Sensors. MDPI. vol. 20. no. 10. pp. 2882. https://doi.org/10.3390/s20102882 [pdf] [video]

Boldu, R., Matthies, DJ., Zhang, H. and Nanayakkara, S. (2020). AiSee: An Assistive Wearable Device to Support Visually Impaired Grocery Shoppers. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM. vol. 4. no. 4. pp. 1–25. https://doi.org/10.1145/3432196 [pdf] [video]

John, F., Kusche, R., Adam, F. and Hellbrück, H. (2020). Differential Ultrasonic Detection of Small Objects for Underwater Applications. In Global Oceans 2020: Singapore – U.S. Gulf Coast. pp. 1-7. https://doi.org/10.1109/IEEECONF38699.2020.9389186 [url]

Cimdins, M., Schmidt, SO. and Hellbrück, H. (2020). MAMPI-UWB—Multipath-Assisted Device-Free Localization with Magnitude and Phase Information with UWB Transceivers. In Sensors. Multidisciplinary Digital Publishing Institute. vol. 20. no. 24. pp. 7090.

Cimdins, M., Schmidt, SO. and Hellbrück, H. (2020). MAMPI – Multipath-assisted Device-free Localization with Magnitude and Phase Information. In International Conference on Localization and GNSS.

Kusche, R., John, F., Cimdins, M. and Hellbrück, H. (2020). Contact-Free Biosignal Acquisition via Capacitive and Ultrasonic Sensors. In IEEE Access. Institute of Electrical and Electronics Engineers (IEEE). vol. 8. pp. 95629–95641. https://doi.org/10.1109/access.2020.2995861 [pdf]

Kusche, R. and Hellbrück, H. (2020). Verfahren zur kontaktlosen Messung wenigstens eines Vitalparameters eines Patienten. Offenlegungsschrift, DE102020103911.5.