Paper Info
Title
Early recognition of upper limb motor tasks through accelerometers: real-time implementation of a DTW-based algorithm.
Abstract
A new real-time implementation of a Dynamic Time Warping (DTW)-based classification scheme is presented here, and its performance evaluated on experimental data. Nine young adults were requested to perform instances of eight different purposeful movements described in the Wolf Motor Function Test, while wearing a three-axis accelerometer sensor placed on the inner forearm. Results include the correct recognition percentage, as compared to a classification scheme based on the traditional DTW measure, and the recognition percentage as a function of the time elapsed from the beginning of the performed movements. The Real-Time DTW basically performs with the same accuracy of the traditional DTW-based classification scheme (91.5% of correct recognition percentage), a figure that increases to 96.5% if the multidimensional scheme is adopted. Moreover, more than 60% of movements are correctly recognized before their end, thus setting the way for applications in rehabilitation and assistive technologies, where a real-time control scheme is able to interact with the user while the movement is being performed.
Year
DOI
Venue
2011
10.1016/j.compbiomed.2011.01.007
Comp. in Bio. and Med.
Keywords
DocType
Volume
real-time control scheme,inertial sensors,dtw-based algorithm,traditional dtw measure,real-time dtw,early recognition,upper limb motor task,recognition percentage,dynamic time warping,motor function evaluation,new real-time implementation,correct recognition percentage,classification,classification scheme,traditional dtw-based classification scheme,multidimensional scheme
Journal
41
Issue
ISSN
Citations 
3
1879-0534
14
PageRank 
References 
Authors
1.83
7
4
Name
Order
Citations
PageRank
Rossana Muscillo1162.68
Maurizio Schmid28916.32
Silvia Conforto39419.87
Tommaso D'Alessio4588.46