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2008
Springer

Incremental evolution of a signal classification hardware architecture for prosthetic hand control

9 years 1 days ago
Incremental evolution of a signal classification hardware architecture for prosthetic hand control
Evolvable Hardware (EHW) is a new method for designing electronic circuits. However, there are several problems to solve for making high performance systems. One is the limited scalability of the ordinary approach. To reduce this problem, a novel digital signal classification architecture has been developed that allows for incremental evolution. This is based on initially evolving subcircuits for each category to be detected. The architecture is applied for classifying sensor data in a prosthetic hand controller. By applying the proposed method, the best performance achieved is substantially better than that obtained by more ordinary approaches. Analysis of the best circuit shows the importance of having an architecture containing some gates with random connections. Results of the analysis can also be used to collect better training data from users in the future.
Jim Torresen
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where KES
Authors Jim Torresen
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