Virtual-environment-based telerehabilitation in patients with stroke
Presence: Teleoperators and Virtual Environments - Special issue: Virtual rehabilitation
Artificial Intelligence in Medicine
Modelling and segmenting subunits for sign language recognition based on hand motion analysis
Pattern Recognition Letters
Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
A Query-by-Singing System for Retrieving Karaoke Music
IEEE Transactions on Multimedia
The influence of haptic feedback on hand movement regularity in elderly adults
Proceedings of the 31st European Conference on Cognitive Ergonomics
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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.