Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8714
Title: Recognition of Finger Flexion Motion from Ultrasound Image : a Feasibility Study
Authors: Shi, J
Guo, JY
Hu, SX
Zheng, YP 
Keywords: Deformation field
Finger flexion
Image registration
Muscle
Recognition
Ultrasound image
Issue Date: 2012
Publisher: Elsevier
Source: Ultrasound in medicine and biology, 2012, v. 38, no. 10, p. 1695-1704 How to cite?
Journal: Ultrasound in medicine and biology 
Abstract: Muscle contraction results in structural and morphologic changes of the related muscle. Therefore, finger flexion can be monitored from measurements of these morphologic changes. We used ultrasound imaging to record muscle activities during finger flexion and extracted features to discriminate different fingers' flexions using a support vector machine (SVM). Registration of ultrasound images before and after finger flexion was performed to generate a deformation field, from which angle features and wavelet-based features were extracted. The SVM was then used to classify the motions of different fingers. The experimental results showed that the overall mean recognition accuracy was 94.05% ± 4.10%, with the highest for the thumb (97%) and the lowest for the ring finger (92%) and the mean F value was 0.94 ± 0.02, indicating high accuracy and reliability of this method. The results suggest that the proposed method has the potential to be used as an alternative method of surface electromyography in differentiating the motions of different fingers.
URI: http://hdl.handle.net/10397/8714
ISSN: 0301-5629
EISSN: 1879-291X
DOI: 10.1016/j.ultrasmedbio.2012.04.021
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