[comp.ai.neural-nets] application of motion detection

farjamit@eecs.cs.pdx.edu (Tom Farjami) (04/07/91)

     Greatings,

     I only got two emails in this regard so  I  am  posting
this again. I am working on design and fabrication of a CMOS
motion detector IC that I have classified  as  being  fuzzy.
The  following  is  a description of the circuit.  It has 10
digital inputs and a final output. A strong voltage  on  the
output  (near  VDD)  means  that majority of the inputs were
fired in  the  preferred  direction,  otherwise   output  is
silent.   There  is  no feedbacks and therefor no neural-net
like back props in this circuit. It detects motion  in  real
time.   Circuit  is  biologically  motivated and operates in
subthreshold.

     In  my  previous  posting   I   asked   the   following
question,"Basically  what  are  some  of the applications of
this circuit in real life ?". I  have  thought  of  waveform
detection  in  scopes,  pattern  recognition and even speech
recognition myself. How would that be?.  Consider  the  fol-
lowing.  If inputs of the motion detector came from a set of
comparators such that all of the comparators were  comparing
the same analog input signal( say a speech signal) against a
constant (programmable) voltages. That  is  each  comparator
has a different reference voltage but takes in the same ana-
log signal as  other  comparators  do.  Now  if  the  analog
waveform  matched the wright pattern in the preferred direc-
tion ( which is basically what you programmed  the  compara-
tors with), motion detector will turn on and we have pattern
detection. Ofcourse for this I need  more  that  10  inputs,
perhaps  hundreds  to  give  me  high resolution and a state
machine plus a A/D converter to program  my  reference  vol-
tages; but this can be.

     I especially like to hear  comments  from  those  doing
speech and pattern recognition.

     Regards,

     Tom Farjami

     Portland State University

                       April 6, 1991