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An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition
| Content Provider | MDPI |
|---|---|
| Author | Spieker, Veronika Ganguly, Amartya Haddadin, Sami Piazza, Cristina |
| Copyright Year | 2021 |
| Description | Over the last few decades, pattern recognition algorithms have shown promising results in the field of upper limb prostheses myoelectric control and are now gradually being incorporated in commercial devices. A widely used approach is based on a classifier which assigns a specific input value to a selected hand motion. While this method guarantees good performance and robustness within each class, it still shows limitations in adapting to different conditions encountered in real-world applications, such as changes in limb position or external loads. This paper proposes an adaptive method based on a pattern recognition classifier that takes advantage of an augmented dataset—i.e., representing variations in limb position or external loads—to selectively adapt to underrepresented variations. The proposed method was evaluated using a series of target achievement control tests with ten able-bodied volunteers. Results indicated a higher median completion rate >3.33% for the adapted algorithm compared to a classical pattern recognition classifier used as a baseline model. Subject-specific performance showed the potential for improved control after adaptation and a ≤13% completion rate; and in many instances, the adapted points were able to provide new information within classes. These preliminary results show the potential of the proposed method and encourage further development. |
| Starting Page | 7404 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21217404 |
| Journal | Sensors |
| Issue Number | 21 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-07 |
| Access Restriction | Open |
| Subject Keyword | Sensors Industrial Engineering Upper-limb Prostheses Myoelectric Control Pattern Recognition Limb Effect Linear Discriminant Analysis Multi-modal Control |
| Content Type | Text |
| Resource Type | Article |
