Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living
Julia Richter, Christian Wiede, Gangolf Hirtz
2015
Abstract
The European population will steadily be growing older in the following decades. At the same time, the risk of getting dementia increases with higher age. Both these factors are apt to cause serious problems for the society, especially with regard to the caring sector, which also suffers from the lack of qualified personnel. As technical support systems can be of assistance to medical staff and patients, a mobility assessment system for demented people is presented in this paper. The grade of mobility is measured by means of the person’s pose and movements in a monitored area. For this purpose, pose estimation and movement detection algorithms have been developed. These process 3-D data, which are provided by an optical stereo sensor installed in a living environment. In order to train and test a discriminative classifier a variety of labelled training and test data was recorded. Moreover, we designed a discriminative and universal feature vector for pose estimation. The experiments demonstrated that the algorithms work robustly. In connection with a human machine interface, the system facilitates a mobilisation as well as a more valid assessment of the patient’s medical condition than it is presently the case.
References
- Agarwal, A. and Triggs, B. (2006). Recovering 3D human pose from monocular images. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(1):44-58.
- Belbachir, A. N., Litzenberger, M., Schraml, S., Hofstatter, M., Bauer, D., Schon, P., Humenberger, M., Sulzbachner, C., Lunden, T., and Merne, M. (2012). CARE: a dynamic stereo vision sensor system for fall detection. In Circuits and Systems (ISCAS), 2012 IEEE International Symposium on, pages 731-734. IEEE.
- Berlin Institut für Bevölkerung und Entwicklung (2011). Demenz-Report. http://www.berlininstitut.org/fileadmin/user upload/Demenz/Demenz online.pdf. Accessed: 2014-07-07.
- Bradski, G. and Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV library. O'Reilly Media.
- Clement, J., Ploennigs, J., and Kabitzsch, K. (2013). Erkennung verschachtelter ADLs durch Smartmeter. Lebensqualität im Wandel von Demografie und Technik.
- Ferrari, V., Marin-Jimenez, M., and Zisserman, A. (2008). Progressive search space reduction for human pose estimation. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8. IEEE.
- Haritaoglu, I., Beymer, D., and Flickner, M. (2002). Ghost 3d: detecting body posture and parts using stereo. In Motion and Video Computing, 2002. Proceedings. Workshop on, pages 175-180. IEEE.
- Kalfhues, A. J., Hübschen, M., Löhrke, E., Nunner, G., Perszewski, H., Schulze, J.-E., and Stevens, T. (2012). JUTTA-JUsT-in-Time Assistance: Betreuung und Pflege nach Bedarf. In Technologiegestützte Dienstleistungsinnovation in der Gesundheitswirtschaft, pages 325-349. Springer.
- Kirchner, N., Alempijevic, A., and Virgona, A. (2012). Head-to-shoulder signature for person recognition. In Robotics and Automation (ICRA), 2012 IEEE International Conference on, pages 1226-1231. IEEE.
- Link, N., Steiner, B., Pflüger, M., Kroll, J., and Egeler, R. (2013). safe@ home-Erste Erfahrungen aus dem Praxiseinsatz zur Notfallerkennung mit optischen Sensoren. Lebensqualität im Wandel von Demografie und Technik.
- Ning, H., Xu, W., Gong, Y., and Huang, T. (2008). Discriminative learning of visual words for 3D human pose estimation. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8. IEEE.
- Richter, J., Findeisen, M., and Hirtz, G. (2014). Assessment and Care System Based on People Detection for Elderly Suffering From Dementia. In Consumer Electronics Berlin (ICCE-Berlin), 2014. ICCEBerlin 2014. IEEE Fourth International Conference on Consumer Electronics, pages 59-63. IEEE.
- Scanaill, C. N., Carew, S., Barralon, P., Noury, N., Lyons, D., and Lyons, G. M. (2006). A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment. Annals of Biomedical Engineering, 34(4):547-563.
- Steen, E.-E., Frenken, T., Frenken, M., and Hein, A. (2013). Functional Assessment in Elderlies Homes: Early Results from a Field Trial. Lebensqualität im Wandel von Demografie und Technik.
- Ye, M., Wang, X., Yang, R., Ren, L., and Pollefeys, M. (2011). Accurate 3d pose estimation from a single depth image. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 731-738. IEEE.
- Zivkovic, Z. (2004). Improved adaptive gaussian mixture model for background subtraction. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, volume 2, pages 28-31. IEEE.
Paper Citation
in Harvard Style
Richter J., Wiede C. and Hirtz G. (2015). Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 22-29. DOI: 10.5220/0005178700220029
in Bibtex Style
@conference{icpram15,
author={Julia Richter and Christian Wiede and Gangolf Hirtz},
title={Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={22-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005178700220029},
isbn={978-989-758-077-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living
SN - 978-989-758-077-2
AU - Richter J.
AU - Wiede C.
AU - Hirtz G.
PY - 2015
SP - 22
EP - 29
DO - 10.5220/0005178700220029