Abstract
We present a novel system for the markerless shape analysis of bicipital contraction. The study of the soft tissue deformation due to the biceps muscular activity is achieved by analysing video sequences obtained from a RGB-D sensor and applying geometric morphometrics and parallel transport algorithms. In particular, we tested for differences between genders in soft tissue deformation during isometric contraction. Tests on 20 subjects (10 males, 10 females) in biceps brachii isometric contraction have been performed. The obtained results, in terms of size and shape deformations, are in accordance with biomechanical and physiological studies. The performance of the proposed method is particularly encouraging for its application to elderlies, in the bio-medical investigations as well as in rehabilitation of the upper limb.
The original version of this chapter was inadvertently published with an incorrect chapter pagination 628–633 and DOI 10.1007/978-3-319-32703-7_121. The page range and the DOI has been re-assigned. The correct page range is 634–639 and the DOI is 10.1007/978-3-319-32703-7_122. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260
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Goffredo, M., Piras, P., Varano, V., Gabriele, S., D’Anna, C., Conforto, S. (2016). Shape Analysis of Bicipital Contraction by Means of RGB-D Sensor, Parallel Transport and Trajectory Analysis. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_122
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