Body gesture based control system for humanoid robot
M. Anwar Ma'sum, M. Sakti Alvissalim, Fredric Sanjaya, Andros, Wisnu Jatmiko;
2012 International conference on advanced computer science and information systems (ICACSIS 2012) Depok, December 1st and 2nd 2012 Crystal of knowledge building Universitas Indonesia
Lokasi : Perpustakaan Fakultas Ilmu Komputer
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An intuitive control system based on gesture recognition for humanoid robot has been developed. The gesture of a human operator can be recognized successfully with 99,87% accuracy using fuzzy Neural Generalized Learning Vector Quantization (FNGLVQ) algorithm. A total of 13 distinct gesture were trained onto the system to represent 13 different actions. The system maps the recognized gestures to 13 different sequences of movements which will be executed by the humanoid robot. This system can be used in settings where tele-operation of humanoid robot is needed. The use of gesture to give commands to humanoid robot will decrease the learning curve of the operator by providing a more intuitive control mechanism. This system eliminate the need to memorize a set of complex procedures. Another possible application is for teaching children with autism basic social interactioction as a complement for human tutor.