Implementation of face detection and recognition of Indonesian language in communication between humans and robots

Abstract

Communication between man and machine is a challenging subject. In general, the communication between man and machine is done with rigid language (inhuman). Many scientists are trying to create a way of communication between humans and machines charmer, more personal and interactive. This paper presents the results of research work that implements interactive communication between humans and machines (robots). Communication becomes more personal by using face detection to the speaker (human). Communication is also done with more interactive by adding the ability for robots to communicate using Indonesian language. We utilize the NAO robot as a machine that can interact with humans. We employ speech Engine System consisted of Speech to Text, dialog machine, and Text to Speech which make NAO Robot can speak and understand simple human speech in Indonesian Language. The resulted system was able to perform face detection continuously on angles of range between 0° and 30°, detect human speech accurately by 80.45%, and give response to human speech appropriately by 47.58%.