The Catcher
Updated 3 years ago
In development
Windows; Mac; Linux
The game, called "The Catcher'', was developed for robotic rehabilitation in combination with single Degree of Freedom (DoF) robots. The game is then used to perform the difficulty balancing experiments using Evolutionary Algorithm (EA) and other EA to optimize the coefficients of the objective function of the first EA. The objective of the player in "The Catcher'' is to control the squirrel (game character) towards falling hazelnuts (target object). The player should direct the character to collect as many objects as possible during a therapy session. The character only moves in the horizontal axis of the screen - corresponding to the flexion of the wrist (palmarflexion) or wrist extension (dorsiflexion).

Some articles published with this game

  • K. d. O. Andrade, T. B. Pasqual, G. A. P. Caurin and M. K. Crocomo, "Dynamic difficulty adjustment with Evolutionary Algorithm in games for rehabilitation robotics," 2016 IEEE International Conference on Serious Games and Applications for Health (SeGAH), Orlando, FL, 2016, pp. 1-8.
  • Kleber de O. Andrade, Guilherme Fernandes, Glauco A.P. Caurin, Adriano A.G. Siqueira, Roseli A.F. Romero, Rogerio de L. Pereira, "Dynamic Player Modelling in Serious Games Applied to Rehabilitation Robotics", Robotics: SBR-LARS Robotics Symposium and Robocontrol (SBR LARS Robocontrol) 2014 Joint Conference on, pp. 211-216, 2014.
  • K. de O. Andrade, G. Fernandes, J. Martins, V. C. Roma, R. C. Joaquim and G. A. P. Caurin, "Rehabilitation robotics and serious games: An initial architecture for simultaneous players," 2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), Rio de Janerio, 2013, pp. 1-6.
Kleber de Oliveira Andrade
PhD. / Game Design - Programmer
Game Languages
Portuguese, Brazil
Supported Platforms
Windows; Mac; Linux