Martin Leonard Tangel

Dental classification for periapical radiograph based on multiple fuzzy attribute

Dental classification for periapical radiograph based on multiple fuzzy attribute is proposed, where each tooth is analyzed based on multiple criteria such as area/perimeter ratio and width/height ratio. A classification method on special type of dental image called periapical radiograph is studied and classification is done without speculative classification (in case of ambiguous object), therefore an accurate and assistive result can be obtained due to its capability to handle ambiguous tooth. Experiment results on 78 periapical dental radiographs from University of Indonesia indicates 82.51% total classification accuracy and 84.29% average classification rate per input radiograph. The proposed classification method is planned to be implemented as a submodule for an under developing dental based personal identification system.

Multimodal gesture recognition based on Choquet integral

A multimodal gesture recognition method is proposed based on Choquet integral by fusing information from camera and 3D accelerometer data. By calculating the optimal fuzzy measures for the camera recognition module and the accelerometer recognition module, the proposal obtains enough recognition rate 92.7% in average for 8 types of gestures by improving the recognition rate approximate 20% compared to that of each module. The proposed method aims to realize the casual communication from humans to robots by integrating nonverbal gesture messages and verbal messages.