Information Technology Reference
In-Depth Information
0.06, 1 and 0.38 respectively. Therefore, the FRBS will conclude that the quality
of the gait is medium with a validity degree of 0.26 and high with a validity degree
of 0.74. Moreover, thanks to the hierarchical design of our system, we can pick up
the rule with the maximum firing degree ( R 5 ) to build the linguistic report as fol-
lows: “The quality of the gait during these 20 cycles is high because few times the
homogeneity is low and few times the symmetry is low”.
11.4
Concluding Remarks
This work is part of our research in the field of human gait modeling. Using ac-
celerometers, we can obtain many information that must be interpreted in order to
obtain useful conclusions about gait characteristics.
Here, we describe a quite simple and intuitive model that allows us to extract
relevant features about the gait of a person. We show how the homogeneity and the
symmetry of the human gait can be used to create a simple but useful model capable
of describing the quality of the gait.
In collaboration with orthopedics and physiotherapist, we believe that this work
opens possibilities of exploring relevant features of human gait, by combining rel-
evant variables within the FL formalism. Moreover, the help of these specialists
will allow us to refine our proposed system with the incorporation of their useful
knowledge.
Acknowledgement. This work has been funded by the Spanish Government (MICINN) un-
der project TIN2008-06890-C02-01.
References
1. Alvarez-Alvarez, A., Trivino, G., Cordón, O.: Body Posture Recognition By Means of
a Genetic Fuzzy Finite State Machine. In: Proceedings of the 5th IEEE International
Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), Paris, France, pp. 60-
65 (2011)
2. Alvarez-Alvarez, A., Alonso, J.M., Trivino, G., Hernández, N., Herranz, F., Llamazares,
A., OCaña, M.: Human Activity Recognition Applying Computational Intelligence
Techniques for Fusing Information Related to WiFi Positioning and Body Posture. In:
Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-
IEEE), Barcelona, July 18-23, pp. 1881-1885 (2010)
3. Alvarez-Alvarez, A., Trivino, G.: Comprehensible Model of a Quasi-periodic Signal.
In: Proceedings of the 9th International Conference on Intelligent Systems Design and
Applications (ISDA), pp. 450-455. IEEE Computer Society, Los Alamitos (2009)
4. lvarez-Alvarez, A., Trivino, G., Cordón, O.: Human Gait Modeling using a Genetic
Fuzzy Finite State Machine. European Centre for Soft Computing Research Report: AFE
2010-2008, CGC 2010-01, Mieres, Spain (2010) (submitted)
5. Begg, R., Lai, D.T.H., Palaniswami, M.: Computational Intelligence in Biomedical En-
gineering. CRC Press, Boca Raton (2007)
Search WWH ::




Custom Search