All Projects → mkjung99 → biomechanics_dataset

mkjung99 / biomechanics_dataset

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Information of public available data sets for biomechanics.

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Biomechanics dataset

Information of public available data sets for biomechanics.
Please check the license of invidual data set before using it.

[Kinematics + forces + EMG] data sets

With C3D files

  • CAMS-Knee: https://cams-knee.orthoload.com/
  • Moreira, L., Figueiredo, J., Fonseca, P., Vilas-Boas, J. P., & Santos, C. P. (2021). Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Scientific Data, 8(1), 1-11. https://doi.org/10.1038/s41597-021-00881-3 (data)
  • Schreiber, C., & Moissenet, F. (2019). A multimodal dataset of human gait at different walking speeds established on injury-free adult participants. Scientific data, 6(1), 1-7. https://doi.org/10.1038/s41597-019-0124-4 (data)
  • Fregly, B. J., Besier, T. F., Lloyd, D. G., Delp, S. L., Banks, S. A., Pandy, M. G., & D'lima, D. D. (2012). Grand challenge competition to predict in vivo knee loads. Journal of Orthopaedic Research, 30(4), 503-513. https://simtk.org/projects/kneeloads

Other file formats

  • Averta, G., Barontini, F., Catrambone, V., Haddadin, S., Handjaras, G., Held, J. P., ... & Bianchi, M. (2021). U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions. GigaScience, 10(6), giab043. https://doi.org/10.1093/gigascience/giab043
  • Camargo, J., Ramanathan, A., Flanagan, W., & Young, A. (2021). A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions. Journal of Biomechanics, 119, 110320. https://doi.org/10.1016/j.jbiomech.2021.110320
  • R Macaluso, K Embry, D Villarreal, R Gregg, "Human Leg Kinematics, Kinetics, and EMG during Phase-Shifting Perturbations at Varying Inclines", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/12hp-e249
  • Lencioni, T., Carpinella, I., Rabuffetti, M., Marzegan, A., & Ferrarin, M. (2019). Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks. Scientific data, 6(1), 1-10. https://doi.org/10.1038/s41597-019-0323-z (data)
  • K. Embry, D. Villarreal, R. Macaluso, R. Gregg, "The Effect of Walking Incline and Speed on Human Leg Kinematics, Kinetics, and EMG", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/gk32-e868
  • Wang, W., Li, K., Yue, S., Yin, C., & Wei, N. (2017). Associations between lower-limb muscle activation and knee flexion in post-stroke individuals: A study on the stance-to-swing phases of gait. PLoS One, 12(9), e0183865. https://doi.org/10.1371/journal.pone.0183865

[Kinematics + forces/EMG] data sets

With C3D files

  • Orthoload: https://orthoload.com/
  • Laboratory for Movement Biomechanics, ETH Zürich: https://movement.ethz.ch/data-repository.html
  • University of Pennsylvania SIG Center for Computer Graphics Multi Modal Motion Capture Library: https://fling.seas.upenn.edu/~mocap/
  • Szczęsna, A., Błaszczyszyn, M., & Pawlyta, M. (2021). Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes. Scientific Data, 8(1), 1-12. https://doi.org/10.1038/s41597-021-00801-5 (data)
  • Liang, P., Kwong, W. H., Sidarta, A., Yap, C. K., Tan, W. K., Lim, L. S., ... & Ang, W. T. (2020). An Asian-centric human movement database capturing activities of daily living. Scientific Data, 7(1), 1-13. https://doi.org/10.1038/s41597-020-00627-7 (data)
  • Hood, S., Ishmael, M. K., Gunnell, A., Foreman, K. B., & Lenzi, T. (2020). A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds. Scientific Data, 7(1), 1-8. https://doi.org/10.1038/s41597-020-0494-7 (data)
  • Horst, F., Lapuschkin, S., Samek, W., Müller, K. R., & Schöllhorn, W. I. (2019). Explaining the unique nature of individual gait patterns with deep learning. Scientific reports, 9(1), 1-13. https://doi.org/10.1038/s41598-019-38748-8 (data)
  • Matijevich, E. S., Branscombe, L. M., Scott, L. R., & Zelik, K. E. (2019). Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: Implications for science, sport and wearable tech. PloS one, 14(1), e0210000. https://doi.org/10.1371/journal.pone.0210000 (data)
  • Honert, E. C., & Zelik, K. E. (2019). Foot and shoe responsible for majority of soft tissue work in early stance of walking. Human movement science, 64, 191-202. https://doi.org/10.1016/j.humov.2019.01.008 (data)
  • Caravan A, Scheffey JO, Briend SJ, Boddy KJ. 2018. Surface electromyographic analysis of differential effects in kettlebell carries for the serratus anterior muscles. PeerJ 6:e5044 https://doi.org/10.7717/peerj.5044 (data)
  • Deborah A. Jehu, Hiram Cantu, Allen Hill, Caroline Paquette, Julie N. Cote, & Julie Nantel. (2018). Standing repetitive pointing task in individuals with and without Parkinson's disease (Version v1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1199647
  • Ozkaya, G., Jung, H. R., Jeong, I. S., Choi, M. R., Shin, M. Y., Lin, X., ... & Lee, K. K. (2018). Three-dimensional motion capture data during repetitive overarm throwing practice. Scientific data, 5(1), 1-6. https://doi.org/10.1038/sdata.2018.272 (data)
  • Lunn, David and Chapman, Graham and Redmond, Anthony (2018) Motion analysis in total joint replacement patients: Data Release 1. University of Leeds. [Dataset] https://doi.org/10.5518/345
  • Fukuchi, Claudiane; Fukuchi, Reginaldo; Duarte, Marcos (2018): A public data set of overground and treadmill walking kinematics and kinetics of healthy individuals. figshare. Dataset. https://doi.org/10.6084/m9.figshare.5722711.v4
  • Fukuchi, Reginaldo; Fukuchi, Claudiane; Duarte, Marcos (2017): A public data set of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics. figshare. Dataset. https://doi.org/10.6084/m9.figshare.4543435.v4

Other file formats

[Kinematics only] data sets

With C3D files

Other file formats

[Other] data sets

  • AMASS: https://amass.is.tue.mpg.de/
  • WhoLoDance: http://www.wholodance.eu/
  • AIST Gait Database 2019: https://unit.aist.go.jp/harc/ExPART/GDB2019_e.html
  • Malešević, N., Olsson, A., Sager, P., Andersson, E., Cipriani, C., Controzzi, M., ... & Antfolk, C. (2021). A database of high-density surface electromyogram signals comprising 65 isometric hand gestures. Scientific Data, 8(1), 1-10. https://doi.org/10.1038/s41597-021-00843-9
  • Brokoslaw Laschowski, Reza Sharif Razavian, John McPhee, "Measurement and Simulation of Human Sitting and Standing Movement Biomechanics ", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/ky0b-fe94. Accessed: Aug. 06, 2020.
  • Ilaria Mileti, Aurora Serra, Nerses Wolf, Victor Munoz-Martel, Antonis Ekizos, Eduardo Palermo, … Alessandro Santuz. (2020). Muscle activation patterns are more constrained and regular in treadmill than in overground human locomotion (Version 1.1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3932768
  • Santuz, Alessandro, Ekizos, Antonis, Kunimasa, Yoko, Kijima, Kota, Ishikawa, Masaki, & Arampatzis, Adamantios. (2020). Lower complexity of motor primitives ensures robust control of high-speed human locomotion (Version 1.2.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3785077
  • Santuz, Alessandro, Ekizos, Antonis, Janshen, Lars, Mersmann, Falk, Bohm, Sebastian, Baltzopoulos, Vasilios, & Arampatzis, Adamantios. (2020). Modular control of human movement during running: an open access data set (Version 1.3.0) [Data set]. Frontiers in Physiology | Exercise Physiology. Zenodo. http://doi.org/10.5281/zenodo.3785076
  • Santuz, Alessandro, Brüll, Leon, Ekizos, Antonis, Schroll, Arno, Eckardt, Nils, Kibele, Armin, … Arampatzis, Adamantios. (2020). Neuromotor dynamics of human locomotion in challenging settings (Version 2.3.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3785065
  • Wang, Huawei, & van den Bogert, Antonie. (2020). Standing Balance Experiment with Long Duration Random Pulses Perturbation (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3819630
  • Horsak, Brian; Slijepcevic, Djordje; Raberger, Anna-Maria; Schwab, Caterine; Worisch, Marianne; Zeppelzauer, Matthias (2020): GaitRec: A large-scale ground reaction force dataset of healthy and impaired gait. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4788012.v1
  • Hug, Francois; Vogel, Clément; Tucker, Kylie; Dorel, Sylvain; Deschamps, Thibault; Carpentier, Eric le; et al. (2019): Individuals have unique muscle activation signatures as revealed during gait and pedaling. figshare. Dataset. https://doi.org/10.6084/m9.figshare.8273774.v3
  • Mohr, Maurice; von Tscharner, Vinzenz; Emery, Carolyn ; Nigg, Benno (2019), “Data for: Surface EMG muscle activation patterns of the lower extremities during gait in individuals with and without a knee injury history”, Mendeley Data, v1 http://dx.doi.org/10.17632/f2fv7gb577.1
  • Kerkman, Jennifer, Daffertshofer, Andreas, & Boonstra, Tjeerd. (2018). Muscle activity, ground reaction forces and pointing performance during postural control tasks in healthy adults [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1185196
  • Liew, Bernard; Yu, Yue (Ryan); Cescon, Corrado; Barbero, Marco; Falla, Deborah (2018), “HDsEMG data analysis using R-INLA”, Mendeley Data, v1 http://dx.doi.org/10.17632/8hdb83vdvt.1

C3D libraries

C3D applications

Python

MATLAB

References

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