Abstract
The article presents the Living Labs for Human Motion Analysis and Synthesis (LivMASS), which is a shareconomy resource. It is intended to integrate local and geographically distributed stakeholders. The current resources and potential of LivMASS are described, including its laboratories, research activities, specific projects, collaborations and the collected datasets. A telepresence infrastructure is used to support research activities across Poland, within the Pionier Network and in Europe within the GEANT Network. The funding resources and planned funding strategies include targeted programs for research based on a LivMASS network, a communication campaign, and programs to foster networking and the inclusion of SMEs, universities, medical institutions and other prospective stakeholders.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Geijtenbeek, T., Steenbrink, F., Otten, B., Even-Zohar, O.: D-flow: immersive virtual reality and real-time feedback for rehabilitation. In: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI 11). ACM, New York, pp. 201–208 (2011)
van den Bogert, A.J., Geijtenbeek, T., Even-Zohar, O., Steenbrink, F., Hardin, E.C.: A real-time system for biomechanical analysis of human movement and muscle function. Med. Biol. Eng. Comput. 51(10), 1069–1077 (2013). (Springer, Berlin, Heidelberg)
http://www.entrepreneurial-insights.com/introduction-to-sharing-economy/
Hamari, J., Sjöklint, M., Ukkonen, A.: The sharing economy: why people participate in collaborative consumption. J. Assoc. Inf. Sci. Technol. (2015)
Schiederig, T., Herstatt, C.: Shareconomy—Performance-oriented Systems as a Strategy. Schiederig/Herstatt. Working Paper No. 77, pp. 1–13 (2014)
Kulbacki, M., Segen, J., Wereszczynski, K., Gudys, A.: VMASS: massive dataset of multi-camera video for learning, classification and recognition of human actions. ACIIDS 2014, 565–574 (2014)
Automated Assessment of Joint Synovitis Activity from Medical Ultrasound and Power Doppler Examinations using Image Processing and Machine Learning Methods http://eeagrants.org/project-portal/project/PL12-0015
Segen, J., Kulbacki, M., Wereszczynski, K.: Registration of ultrasound images for automated assessment of synovitis activity. ACIIDS 2015, 307–316 (2015)
Kulbacki, M., Koteras, R., Szczesna, A., Daniec, K., Bieda, R., Slupik, J., Segen, J., Nawrat, A., Polanski, A., Wojciechowski, K.: Scalable, Wearable, Unobtrusive Sensor Network for Multimodal Human Monitoring with Distributed Control. In: Lackovic, I., Vasic, D. (eds.) IFMBE Proceedings, pp. 914–917 (2015)
Filipowicz, W., Habela, P., Kaczmarski, K., Kulbacki, M.: A generic approach to design and querying of multi-purpose human motion database. ICCVG 2010, 105–113 (2010)
Kulbacki, M., Janiak, M., Kniec, W.: Motion data editor software architecture oriented on efficient and general purpose data analysis. ACIIDS 2014, 545–554 (2014)
Janiak, M., Kulbacki, M., Kniec, W., Nowacki, J.P., Drabik, A.: Data flow processing framework for multimodal data environment software. New Trends Intell. Inf. Database Syst. 2015, 353–362 (2015)
Acknowledgments
This work has been supported by the National Centre for Research and Development (project POIG.02.03.00-24-149/13 “Interdisciplinary laboratories for human motion analysis and synthesis in shareconomy model”).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kulbacki, M., Wereszczyński, K., Segen, J., Bąk, A., Wojciechowska, M., Nowacki, J.P. (2016). Living Labs for Human Motion Analysis and Synthesis in Shareconomy Model. In: Król, D., Madeyski, L., Nguyen, N. (eds) Recent Developments in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-31277-4_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-31277-4_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31276-7
Online ISBN: 978-3-319-31277-4
eBook Packages: EngineeringEngineering (R0)