EXPERIMENT 10: Signal
Processing Application
The aim of this experiment was to implement any Signal
Processing operation on one dimensional Signal.
We formed a group of 5 students. The members were Nikita
Pagar, Golappagouda Patil, Anushree Mhatre, Apoorva Raut and Sahil Rai. The
topic we selected was “Detection and Processing of Electromyography signals”.
The title of the paper is “Machine Learning Algorithms for
Characterization of EMG Signals” written by Bekir Karlık, Member, IACSIT.
The patent selected was “Wearable electromyography-based
controllers for human-computer interface”.
Inventors:
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Tan; Desney (Kirkland, WA), Saponas; T. Scott (Seattle,
WA), Morris; Dan (Bellevue, WA), Turner; Jim (Monroe,
WA)
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Assignee:
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Microsoft Corporation (Redmond,
WA)
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Family ID:
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42729058
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Appl. No.:
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12/404,223
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Filed:
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March 13, 2009
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Description: A "Wearable Electromyography-Based
Controller" includes a plurality of Electromyography (EMG) sensors and
provides a wired or wireless human-computer interface (HCl) for interacting
with computing systems and attached devices via electrical signals generated by
specific movement of the user's muscles.
Application: Simulate one type of EMG signal in
MATLAB. Compare
that signal with existing samples using cross-correlation. If the signal is similar to the samples
available then display the output.
This was less of an experiment and more of research but nevertheless it was a wonderful experience. We got to read a lot of literature on DSPP which we otherwise would not have read. We also learned about the application of DSPP in the real-world and how it affects our lives.
This was less of an experiment and more of research but nevertheless it was a wonderful experience. We got to read a lot of literature on DSPP which we otherwise would not have read. We also learned about the application of DSPP in the real-world and how it affects our lives.
Links: PAPER
Interesting application on correlation of signals.
ReplyDeleteAre the samples stored in a database?
ReplyDeleteThanks Nikita. This was helpful. Good summarization. You should write blogs often.
ReplyDeletegood...I agree with natasha
ReplyDeleteThis application is very useful in the medical field.
ReplyDeleteAn electromyograph an instrument to detect emg signals detects the electrical potential generated by muscle cells when these cells are electrically or neurologically activated.
ReplyDeleteThis has applications in prosthetics and wearable devices
ReplyDelete