This is a project developed by Phedes lab
Please contact us by using: info@balancedgait.com
The principal researcher is Gracián Triviño Barros

Scientific publications

  • Daniel Sanchez-Valdes, Alberto Alvarez-Alvarez, Gracian Trivino. Walking pattern classification using a granular linguistic analysis. Applied Soft Computing 33: 100-113, 2015.
  • Daniel Sanchez-Valdes and Gracian Trivino. Computational Perceptions of uninterpretable data. A case study on the linguistic modeling of human gait as a quasi-periodic phenomenon. Fuzzy Sets and Systems 253 (2014) 101-121.
  • Alberto Alvarez-Alvarez and Gracian Trivino. Linguistic description of the human gait quality. Engineering Applications of Artificial Intelligence, 26(1):13–23, January 2013.
  • Alberto Alvarez-Alvarez, Gracian Trivino, and Oscar Cordón. Human gait modeling using a genetic fuzzy finite state machine. Fuzzy Systems, IEEE Transactions on, 20(2):205–223, April 2012.
  • Gracian Trivino, Alberto Alvarez-Alvarez, and Gonzalo Bailador. Application of the computational theory of perceptions to human gait pattern recognition. Pattern Recognition, 43(7):2572–2581, July 2010

APP main changes list

BalancedGait 0.7:
– Fix problems to recognize several gait types.
– Now the Test duration can be modified by using the setting “number of cycles to analyze”.
– Now detailed data are sent by Internet to the Private Area where they are showed in a table.

BalancedGait 0.8:
– An important improvement in the algorithm allows to obtain more stable parameters, i.e., when the Test is repeated by the same person in similar conditions the results are similar.

BalancedGait 0.9:
– Now parameters in the diagram correspond with frontal accelerations and the swing phase. Experimentation shows these parameters are relevant to distinguish between pathological and healthy gaits.
– The first functional version of Private Area is available. It includes a printable report that can be delivered to the patient.
– Translations to Spanish and English are completed.