MAPPING GESTURES TO SPEECH USING THE KINECT

被引:0
作者
Muttena, Sanjivi [1 ]
Sriram, S. [1 ]
Shiva, R. [1 ]
机构
[1] Panimalar Engn Coll, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
来源
2014 International Conference on Science Engineering and Management Research (ICSEMR) | 2014年
关键词
Kinect; Gestures; Speech Synthesizers; Text to speech converter;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Statistics state that approximately, one in 1000 people are born mute. In a population of 7.046 billion worldwide, the number is a staggering 7 million. Of all the form of disabilities, the mute have the going tough. The inability of fellow mortals to comprehend what they hope to express serves as a constant remainder of the misfortune that had befallen them. This catastrophe often bars them from finding jobs which meet their skills. Speech synthesizers which are commonly used require the usage of EEG signals which are not always portable. Economy is also a factor which acts against them. Hence, these people mostly resign to the usage of sign language to communicate with others. Taking all these factors into consideration, the system under consideration maps the gestures that are made by these people to words. Using a suitable text to speech converter software, the gestures are translated to speech. To map these gestures, the Microsoft Kinect, an economical yet reliable depth sensing camera is used. The proposed system could be deployed in auditoriums, classrooms and other addressing environments.
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页数:5
相关论文
共 17 条
  • [1] Abhishek Kar, 2013, SKELETAL TRACKING US
  • [2] Alsheakhali M., 2011, INFORM COMMUNICATION
  • [3] [Anonymous], INT J ADV COMPUTING
  • [4] [Anonymous], 2012, AUTOMATIC RECOGNITIO
  • [5] Bengalur, 2013, ADV COMPUTING COMMUN
  • [6] Biswas K. K., 2012, GESTURE RECOGN UNPUB
  • [7] Chaudhary Ankit, 2011, INT J COMPUTER SCI E, V2
  • [8] Chen Xi, 2013, ELM2013
  • [9] dos Santos Anjo Mauro, IHC 2012 P
  • [10] Ghotkar A., 2012, INT J HUMAN COMPUTER