Adaptive and Linear Energy Based Detector for a Virtual Mouse Control

The paper describes a system for controlling a virtual mouse using the mioelectric signal from voluntary contractions of the masseter and temporal muscles. The average energy of each of the data packets is compared to a threshold, established by a process of personal calibration executed before start- ing the system. The threshold energy value was computed using two different adaptive techniques: Linear Energy Based Detector (LED) and Adaptive Linear Energy Based Detector (ALED). Two volunteers were submitted to 90 facial contractions in order to control the mouse and test the system with the proposed techniques. The Linear Energy Based detector presented 17% of failures, the adaptive Linear Energy Based Detector presented 15% of failures and the static threshold presented 26% of failures during the commands detection. Thus the preliminary results have shown that adaptive techniques are robust alternatives for threshold events detection.

[1]  S.G. Tanyer,et al.  Voice activity detection in nonstationary Gaussian noise , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

[2]  Beverly A. Fraser.  Determining Device Access for Persons with Physical Disabilities. , 1995 .

[3]  Wonyong Sung,et al.  A statistical model-based voice activity detection , 1999, IEEE Signal Processing Letters.

[4]  Howell O. Istance,et al.  Why are eye mice unpopular? A detailed comparison of head and eye controlled assistive technology pointing devices , 2003, Universal Access in the Information Society.

[5]  Andrzej Drygajlo,et al.  Entropy based voice activity detection in very noisy conditions , 2001, INTERSPEECH.

[6]  E. Rocon,et al.  Application of inertial sensors in rehabilitation robotics , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[7]  C. Manresa-Yee,et al.  Non-verbal communication by means of head tracking , 2006 .

[8]  H.S. Jamadagni,et al.  VAD techniques for real-time speech transmission on the Internet , 2002, 5th IEEE International Conference on High Speed Networks and Multimedia Communication (Cat. No.02EX612).