A novel human robot interaction using the Wiimote

Author

Balakrishna, D. ; Sailaja, P.V. ; Rao, RVV Prasad ; Indurkhya, Bipin

Author_Institution

Int. Inst. of Inf. Technol., Hyderabad, India

fYear

2010

fDate

14-18 Dec. 2010

Firstpage

645

Lastpage

650

Abstract

In this paper, we present a human-robot interaction using Wiimote-based gestures. Our system uses the Nintendo Wii Remote Controller to interact with a real robot. First, the user trains the system using Wii Remote in order to recognize future gestures. For the recognition process, we implemented WEKA Naive Bayes Classifier in C#. The evaluation shows that our algorithm achieves accuracy of 99% with 10 training samples per gesture and 95% with only one training sample per gesture. The novelty of this paper lies in 1) adopting natural gestures compared to traditional perfect geometrical shapes, which are not user friendly, 2) improved accuracy.

Keywords

Bayes methods; gesture recognition; human-robot interaction; image classification; interactive devices; mobile robots; Nintendo Wii remote controller; WEKA Naive Bayes classifier; Wiimote-based gestures; human robot interaction; Accelerometers; Bluetooth; Classification algorithms; Gesture recognition; Service robots; Training; Accelerometer; Gesture Recognition; Human-Robot Interaction; Low cost robot; Wiimote;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-9319-7

Type

conf

DOI

10.1109/ROBIO.2010.5723402

Filename

5723402