Title :
Voice actuation with context learning for intelligent machine control
Author :
Sepe, Raymond B., Jr. ; Pace, James F.
Author_Institution :
Electro Stand. Labs., Cranston, RI, USA
Abstract :
This paper develops an interactive voice actuated control system for a materials testing machine. Voice commands are passed through a user-command predictor and integrated with a graphical user interface control panel to allow hands-free operation. The user-command predictor learns operator command patterns on-line and predicts the most likely next action. It assists less experienced operators by recommending the next command, and it adds robustness to the voice command interpreter by verbally asking the operator to repeat unlikely commanded actions. The voice actuated control system applies to industrial machines whose normal operation is characterized by a nonrandom series of commands
Keywords :
graphical user interfaces; intelligent control; interactive systems; materials testing; physical instrumentation control; speech recognition; speech recognition equipment; speech-based user interfaces; context learning; graphical user interface control panel; hands-free operation; industrial machines; intelligent machine control; interactive voice actuated control system; materials testing machine; nonrandom commands; normal operation; operator command patterns; user-command predictor; voice actuation; voice commands; voice recognition; Control systems; Electrical equipment industry; Graphical user interfaces; Industrial control; Intelligent control; Learning systems; Machine control; Machine learning; Materials testing; Speech recognition;
Conference_Titel :
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5589-X
DOI :
10.1109/IAS.1999.799970
