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Closed-Loop Decoder Adaptation Algorithms for Kalman Filters in Brain-Machine Interface Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dangi, Siddharth |
| Copyright Year | 2011 |
| Abstract | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. Acknowledgement The derivation of the main algorithms presented in this report-the Adaptive Kalman Filter and SmoothBatch and their variants-was largely my own contribution. However, it would not have been possible without important and fruitful interactions with fellow graduate students, namely Amy Orsborn and Suraj Gowda. The testing of the algorithms was joint work led by Amy. Amy conducted the analysis of the experimental data and created the figures used in this report. I am grateful to Amy and Helene Moorman for their tireless ee orts in training the non-human primates, running the day-today BMI experiments, and allowing the inclusion of the resulting experimental data in this report. Finally, I would like to thank my advisor, Jose Carmena, for his sound advice and helpful encouragement. The conception and derivation of the main algorithms presented in this report the Adaptive Kalman Filter and SmoothBatch and their variants, including the alternate update rules and normalized step-sizes, was largely my own contribution. However, it would not have been possible without important and fruitful interactions with fellow graduate students in the Brain-Machine The testing of the algorithms was joint work led by Amy Orsborn. Amy Orsborn conducted the analysis of the experimental data and created the gures used in this report. I am grateful to Amy Orsborn and Helene Moorman for their tireless eorts in training the non-human primates, running the day-today BMI experiments, and allowing the inclusion of the resulting experimental data in this report. Finally, I would like to thank my advisor, Jose Carmena, for his sound advice, helpful encouragement, and enormous passion for the BMI eld, which is highly contagious and serves as a constant reminder of why BMI research is so important. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2011-139.pdf |
| Alternate Webpage(s) | http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-139.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
