Name
Title | ||
|---|---|---|
Towards Zero Re-training for Long-term Hand Gesture Recognition via Ultrasound Sensing. |
Abstract | ||
|---|---|---|
While myoelectric pattern recognition is a prevailing way for gesture recognition, the inherent nonstationarity of electromyography signals hinders its long-term application. This study aims to prove a hypothesis that morphological information of muscle contraction detected by ultrasound image is potentially suitable for long-term use. A set of ultrasound-based algorithms are proposed to realize robust hand gesture recognition over multiple days, with user training only at the first day. A markerless calibration algorithm is first presented to position the ultrasound probe during donning and doffing; an algorithm combining speeded-up robust features (SURF) and bag-of-features (BoF) model being immune to ultrasound probe shift and rotation is then introduced; a self-enhancing classification method is next adopted to update classification model automatically by incorporating useful knowledge from testing data; finally the performance of long-term hand gesture recognition with zero re-training is validated by a six-day experiment of six healthy subjects, whose outcomes strongly support the hypothesis with about 94% of gesture recognition accuracy for each testing day. This study confirms the feasibility of adoption of ultrasound sensing for long-term musculature related applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2018.2867539 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Ultrasonic imaging,Probes,Calibration,Feature extraction,Robustness,Gesture recognition,Muscles | Calibration algorithm,Computer vision,Pattern recognition,Computer science,Gesture recognition,Robustness (computer science),Feature extraction,Multiple days,Test data,Artificial intelligence,Ultrasound image,Ultrasound | Journal |
Volume | Issue | ISSN |
23 | 4 | 2168-2208 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingchen Yang | 1 | 4 | 0.74 |
| Dalin Zhou | 2 | 16 | 8.09 |
| Yu Zhou | 3 | 98 | 22.73 |
| Youjia Huang | 4 | 1 | 0.35 |
| Honghai Liu | 5 | 1974 | 178.69 |