@article{MAKHILLAJIT2006525066,
    title = {Hybrid Technique to Enhance Voice Command for an Electric Wheelchair},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {2},
    pages = {139-144},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.139.144},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.139.144},
    author = {Mohamed Fezari,Mounir Bousbia-salah and},
    keywords = {Speech recognition,hybrid methods,DTW,voice command},
    abstract = {In  this  study   we propose a simple approach to small vocabulary word recognition applied to control  a  wheelchair.  The  methodology   adopted   is  based  on hybrid techniques used in speech recognition  which  are  zero  crossing  and  extremes  with  dynamic  time warping followed by a decision system  based  on  independent  methods  test  results.  To test the approach on a real application, a PC interface  was  designed  to  control  the  movement   of  a  wheelchair for a  handicapped person by simple vocal  messages.  Tests  showed  that  the  decision  system  outputs  follow  a  logic  in  line  with  the  words uttered.  The  experiment  aimed  to  find  any  problems  for  running tests in outdoor environments. Also, it was  checked  whether  the  basic  commands used  would  be  enough  to  control the vehicle. Some experiments  are  tested by  actually  running a powered-toy vehicle.}
    }