Human Motion Analysis in Treadle Pump Devices

  • C. Pereira
  • J. Malça
  • M. C. Gaspar
  • F. Ventura
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 221)


Poverty and hunger are common problems in developing countries where agriculture is seriously affected by lacking of irrigated land. The treadle pump is an effective low cost device, which combines higher water discharge rates with ease of operation. Improving the performance of the treadle pump, considering dimensional and structural requirements, manufacturing and maintenance aspects, cost reduction and ergonomics is the aim of the authors. A human centered approach is proposed to enhance the performance of these pumps, firstly because the user’s influence on the treadle pump’s design has not been completely analyzed so far and secondly because water discharge depends significantly on the user’s perforlnance. A parametric study was carried out. It was found that a comfortable pumping position requires feet angular positions between -10° and +10° and treadles must be large enough to allow different pumping positions and operator’s height. A new numerical approach is proposed for modeling the user’s movement.


Angular Position Biomechanical Model Irrigation Technology Human Motion Analysis Human Body Movement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Daka A.: Development of a Technological Package for Sustainable Use of Dambos by Small-Scale Farmers, PhD Thesis, University of Pretoria, South Africa. (2001)Google Scholar
  2. 2.
    Molden D, Amarasinghe U, Hussain I.: Water for Rural Development. International Water Management Institute. (2001).Google Scholar
  3. 3.
    Kay M, Brabben T.: Food and Agriculture Organization of the United Nations. Treadle pumps for irrigation in Africa, synthesis report. Rome. (2000).Google Scholar
  4. 4.
    Thomas, T.H.: The Performance Testing of Treadle Pumps. Working Paper no. 39, DTU, Department of Engineering, University of Warwick, Coventry, UK. (1993).Google Scholar
  5. 5.
    Srinivas S, Jalajakshi C.: Alternatives to Micro-Irrigation: Evaluation of the Treadle Pump. Economic and Political Weekly, September 18, (2004) 4271–4275.Google Scholar
  6. 6.
    Chigerwe J, Manjengwa N, van der Zaag P, Zhakata W, Rockstrom J.: Low head drip irrigation kits and treadle pumps for smallholder farmers in Zimbabwe: a technical evaluation based on laboratory tests. Physics and Chemistry of the Earth, 29: (2004) 1049–1059.Google Scholar
  7. 7.
    Perry E.: Low-cost irrigation technologies for food security in sub-Saharan Africa. In: Proceedings of the Workshop “Irrigation Technology Transfer in Support of Food Security”, Harare, Zimbabwe, 14–17 April. (1997).Google Scholar
  8. 8.
    DTU-Development Technology Unit, The Treadle Pump, Working Paper 34, Dept of Engineering, Univ. of Warwick, Coventry, UK, (1991).Google Scholar
  9. 9.
    Panero, J., Zelnik, M.: Dimensionamento humano para espacos interiores, Ed. Gustavo Gili, S.A., Barcelona, (2002).Google Scholar
  10. 10.
    Silva, M.P.T., Ambrosio, J.A.C., Pereira, M.S.: Biomechanical Model with Joint Resistance for Impact Simulation. Multiboby System Dynamics. Vol.1 (1997) 65–84.Google Scholar
  11. 11.
    Cappozzo, A., Croce, U.D., Leardini, A., Chiari, L.: Human movement analysis using stereophotogrammetry-Part 1: theoretical background. Gait & Posture. Vol 21. (2004) 186–196.Google Scholar
  12. 12.
    Theobalt, C. Carranza, J., Magnor, M. A., Seidel, H.-P.: Combining 3D flow fields with silhouette-based human motion capture for immersive video. Graphical Models. Vol.66 (2004) 333–351.Google Scholar
  13. 13.
    Ayoub, M.M.: A 2-D Simulation Model for Lifting Activities. Computers ind. Engng. Vol.35, (1998), 619–622.Google Scholar
  14. 14.
    Hostens, I. Ramon, H.: Descriptive analysis of combine cabin vibrations and their effect on the human body. Journal of Sound and Vibration. Vol.266 (2003) 453–464.Google Scholar
  15. 15.
    Wu, G.: Age-related differences in body segmental movement during perturbed stance in humans. Clinical Biomechanics. Vol. 13 (1998) 300–307.Google Scholar
  16. 16.
    Aggarwal, J. K., Cai, Q.: Human Motion Analysis: A Review. Computer Vision and Image Understanding. Vol.7. (1999) 428–440.Google Scholar
  17. 17.
    Luo, Y., Wu, T.-, Hwang, J.-N.: Object-based analysis and interpretation of human motion in sports video sequences by dynamic bayesian networks. Computer Vision and Image Understanding. Vol.92. (2003) 196–216.Google Scholar
  18. 18.
    Pers, J., Bon, M., Kova, S., Sibila, M., Dezman, B.: Observation and analysis of large-scale human motion. Human Movement Science. Vol.21. (2002) 295–311.Google Scholar
  19. 19.
    Ning, H., Tan, T., Wang, L., Hu, W.: Kinematics-based tracking of human walking in monocular video sequences. Image and Vision Computing. Vol.22. (2004) 429–441.Google Scholar

Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • C. Pereira
    • 1
  • J. Malça
    • 2
  • M. C. Gaspar
    • 3
  • F. Ventura
    • 4
  1. 1.Departamento de Engenharia MecânicaInstituto Superior de Engenharia de CoimbraCoimbraPortugal
  2. 2.Departamento de Engenharia MeânicaInstituto Superior de Engenharia de CoimbraCoimbraPortugal
  3. 3.Departamento de Engenharia IndustrialEscola Superior de TecnologiaCastelo BrancoPortugal
  4. 4.Departamento de Engenharia MeânicaFaculdade de Ciências e Tecnologia da Universidade de CoimbraCoimbraPortugal

Personalised recommendations