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Robust Joint Torque Estimation for Using EMG Sensor Suit and High-speed Calibration
| Content Provider | Semantic Scholar |
|---|---|
| Author | Suzuki, Yousuke Tanaka, Takayuki Feng, Maria Q. Moromugi, Shunji |
| Copyright Year | 2006 |
| Abstract | A robust torque estimation system is developed for soft sensor suits embedded with Electromyogram (EMG) and a variety of sensors for measuring human muscle activities. The sensor suits serve as a man-machine interface for human power amplification. This paper focuses on the EMG part of the sensor suits to study the fundamental issue of torque estimation based on the sensor readings. A robust torque estimation system is developed in this study based on neural networks, where an universal database, rather than individual database for each operator, is proposed and as a result, the calibration time is dramatically decreased. The proposed system can also compensate for sensor positioning errors and individual differences. |
| Starting Page | 982 |
| Ending Page | 990 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| DOI | 10.9746/sicetr1965.42.982 |
| Volume Number | 42 |
| Alternate Webpage(s) | https://www.jstage.jst.go.jp/article/sicetr1965/42/8/42_8_982/_pdf/-char/en |
| Alternate Webpage(s) | https://doi.org/10.9746/sicetr1965.42.982 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
